SlideShare a Scribd company logo
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
October 17, 2013
Supply Chain Integration:
Practices and Customer Values
Meysam Maleki
maleki@fct.unl.pt
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
2 of 45
Agenda
1. Introduction
– Supply chain integration
– Research questions and objectives
– Methodology
2. Proposed approach
– Data collection
– Data analysis
– Expectations
3. Case studies
– Case study I: Customer values
– Case study II & III: SCI model in the fashion and food industries
4. Conclusion
– Contribution to theory
– Managerial contributions
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
3 of 45
Definition of Supply Chain Management
Lambert, 2008
SCM is the integration of key business processes across
the supply chain for the purpose of creating value for
customers and stakeholders.
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
4 of 45
Definition of Supply Chain Management
Lambert, 2008
SCM is the integration of key business processes across
the supply chain for the purpose of creating value for
customers and stakeholders.
Integration is embedded in
the definition of SCM
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
5 of 45
Definition of Supply Chain Management:
Year wise frequency distribution of the keyword "supply chain integration": 2005 till
March 01, 2013 – Generated by Google Trends (the figure is on the scale of 100):
Figure 1.1; Page 3
Lambert, 2008
SCM is the integration of key business processes across
the supply chain for the purpose of creating value for
customers and stakeholders.
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
6 of 45
Positioning the research are
The literature agrees that a comprehensive SCI is not feasible
owing to barriers such as lack of financial integration, cultural
barriers, and lack of customer-centred metrics, inconsistent
relationships with customers and suppliers and inequality in risk
sharing.
Carter et al., 2009
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
7 of 45
Positioning the research area
The literature agrees that a comprehensive SCI is not feasible
owing to barriers such as lack of financial integration, cultural
barriers, and lack of customer-centred metrics, inconsistent
relationships with customers and suppliers and inequality in risk
sharing.
Carter et al., 2009
Supply chain
practices
Customer
values
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
8 of 45
Thesis structure
CHAPTER 1
Overview of the research
issues and objectives
CHAPTER 2
Supply chain integration,
integration models,
Bayesian network,
analytic network process
CHAPTER 3
Comparative analysis,
data collection methods
CHAPTER 4
Proposed model,
framework
CHAPTER 5
Customer value data
analysis, SCI model for
fashion and food
industries
CHAPTER 6
Conclusion and future
work
INTRODUCTION LITERATURE REVIEW METHODOLOGY
CONCEPTUAL MODEL CASE STUDIES CONCLUSION
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
9 of 45
Research questions
CHAPTER 1
Overview of the research
issues and objectives
CHAPTER 2
Supply chain integration,
integration models,
Bayesian network,
analytic network process
CHAPTER 3
Comparative analysis,
data collection methods
CHAPTER 4
Proposed model,
framework
CHAPTER 5
Customer value data
analysis, SCI model for
fashion and food
industries
CHAPTER 6
Conclusion and future
work
INTRODUCTION LITERATURE REVIEW METHODOLOGY
CONCEPTUAL MODEL CASE STUDIES CONCLUSION
o How can we integrate customer values and SCM practices?
o How can we quantify relations between customer values and SCM
practices?
o What tools can be used in this approach?
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
10 of 45
Research objectives
CHAPTER 1
Overview of the research
issues and objectives
CHAPTER 2
Supply chain integration,
integration models,
Bayesian network,
analytic network process
CHAPTER 3
Comparative analysis,
data collection methods
CHAPTER 4
Proposed model,
framework
CHAPTER 5
Customer value data
analysis, SCI model for
fashion and food
industries
CHAPTER 6
Conclusion and future
work
INTRODUCTION LITERATURE REVIEW METHODOLOGY
CONCEPTUAL MODEL CASE STUDIES CONCLUSION
o Quantify correlations
among customer values and
practices
o Provide possibility to plan
scenarios
o Study paiwise comparisons
among customer values
o Connect practices in supply
chain with customer values
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
11 of 45
Flow of materials and information in SC End Customer
Customer values
Manufacturing /
Assembly Practices
Logistics Practices
Interview with
experts
Questionnaire
ANP Model BN Model
Supply Chain Integration
Model
PHASE 1PHASE 2
PHASE 3
Shared
factors
InputInput
InputInput
Research Methodology
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
12 of 45
CHAPTER 1
Overview of the research
issues and objectives
CHAPTER 2
Supply chain integration,
integration models,
Bayesian network,
analytic network process
CHAPTER 3
Comparative analysis,
data collection methods
CHAPTER 4
Proposed model,
framework
CHAPTER 5
Customer value data
analysis, SCI model for
fashion and food
industries
CHAPTER 6
Conclusion and future
work
INTRODUCTION LITERATURE REVIEW METHODOLOGY
CONCEPTUAL MODEL CASE STUDIES CONCLUSION
Case studies
CASE STUDY 1
Data collection and data
analysis of customer values
CASE STUDY 2
Development of SCI for the
fashion industry
CASE STUDY 3
Development of SCI for the
food industry
Input
Input
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
13 of 45
Agenda
1. Introduction
– Supply chain integration
– Research questions and objectives
– Methodology
2. Proposed approach
– Data collection
– Data analysis
– Expectations
3. Case studies
– Case study I: Customer values
– Case study II & III: SCI model in the fashion and food industries
4. Conclusion
– Contribution to theory
– Managerial contributions
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
14 of 45
SCI
conceptual model
Identify industry sector
Identify customer values
Identify manufacturing
practices
Identify logistics practices
SCI Conceptual Model
Pairwise analyses
[CV1…CVn]
[PM1…PMi] [PL1…PLj]
[PM1] [PMi]
[CV1…CVn]
[PL1] [PLj]
[CV1…CVn]
PMi: Manufacturing practices
PLj: Logistics Practices
CVn: Customer values
Data collection from end
customers
Data collection through
interview with experts
[CV1] [CVn]
SCM practices
BN data mining
ANP Analysis
PMi / PLj is
sensitive to CVn
Set BN state as
“Recommended”
Yes
Set BN state as “Not
Recommended”
DataCollectionDataAnalysisandModelDevelopment
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
15 of 45
SCI
conceptual model
Identify industry sector
Identify customer values
Identify manufacturing
practices
Identify logistics practices
SCI Conceptual Model
Pairwise analyses
[CV1…CVn]
[PM1…PMi] [PL1…PLj]
[PM1] [PMi]
[CV1…CVn]
[PL1] [PLj]
[CV1…CVn]
PMi: Manufacturing practices
PLj: Logistics Practices
CVn: Customer values
Data collection from end
customers
Data collection through
interview with experts
[CV1] [CVn]
SCM practices
BN data mining
ANP Analysis
PMi / PLj is
sensitive to CVn
Set BN state as
“Recommended”
Yes
Set BN state as “Not
Recommended”
DataCollectionDataAnalysisandModelDevelopment
Customer value is the
perception of a customer
about a product or service.
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
16 of 45
SCI
conceptual model
Identify industry sector
Identify customer values
Identify manufacturing
practices
Identify logistics practices
SCI Conceptual Model
Pairwise analyses
[CV1…CVn]
[PM1…PMi] [PL1…PLj]
[PM1] [PMi]
[CV1…CVn]
[PL1] [PLj]
[CV1…CVn]
PMi: Manufacturing practices
PLj: Logistics Practices
CVn: Customer values
Data collection from end
customers
Data collection through
interview with experts
[CV1] [CVn]
SCM practices
BN data mining
ANP Analysis
PMi / PLj is
sensitive to CVn
Set BN state as
“Recommended”
Yes
Set BN state as “Not
Recommended”
DataCollectionDataAnalysisandModelDevelopment
Customer value is the
perception of a customer
about a product or service.
1. Quality
2. Cost
3. Time
4. Customization
5. Know-how
6. Respect for the environment
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
17 of 45
SCI
conceptual model
Identify industry sector
Identify customer values
Identify manufacturing
practices
Identify logistics practices
SCI Conceptual Model
Pairwise analyses
[CV1…CVn]
[PM1…PMi] [PL1…PLj]
[PM1] [PMi]
[CV1…CVn]
[PL1] [PLj]
[CV1…CVn]
PMi: Manufacturing practices
PLj: Logistics Practices
CVn: Customer values
Data collection from end
customers
Data collection through
interview with experts
[CV1] [CVn]
SCM practices
BN data mining
ANP Analysis
PMi / PLj is
sensitive to CVn
Set BN state as
“Recommended”
Yes
Set BN state as “Not
Recommended”
DataCollectionDataAnalysisandModelDevelopment
Significantlymoreimportant
Morereimportant
Thesameimportance
moreimportant
Significantlymoreimportant
Cost      Quality
4 : 0 3 : 1 2 : 2 1 : 3 0 : 4
Pairwise comparison of
customer values
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
18 of 45
SCI
conceptual model
Identify industry sector
Identify customer values
Identify manufacturing
practices
Identify logistics practices
SCI Conceptual Model
Pairwise analyses
[CV1…CVn]
[PM1…PMi] [PL1…PLj]
[PM1] [PMi]
[CV1…CVn]
[PL1] [PLj]
[CV1…CVn]
PMi: Manufacturing practices
PLj: Logistics Practices
CVn: Customer values
Data collection from end
customers
Data collection through
interview with experts
[CV1] [CVn]
SCM practices
BN data mining
ANP Analysis
PMi / PLj is
sensitive to CVn
Set BN state as
“Recommended”
Yes
Set BN state as “Not
Recommended”
DataCollectionDataAnalysisandModelDevelopment
SCM practices:
Actions employed by firms
in order to achieve their
goals along the chain
• Just in time
• Decrease work in process
• Mixed production planning
• …
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
19 of 45
SCI
conceptual model
Identify industry sector
Identify customer values
Identify manufacturing
practices
Identify logistics practices
SCI Conceptual Model
Pairwise analyses
[CV1…CVn]
[PM1…PMi] [PL1…PLj]
[PM1] [PMi]
[CV1…CVn]
[PL1] [PLj]
[CV1…CVn]
PMi: Manufacturing practices
PLj: Logistics Practices
CVn: Customer values
Data collection from end
customers
Data collection through
interview with experts
[CV1] [CVn]
SCM practices
BN data mining
ANP Analysis
PMi / PLj is
sensitive to CVn
Set BN state as
“Recommended”
Yes
Set BN state as “Not
Recommended”
DataCollectionDataAnalysisandModelDevelopment
Pairwise comparison of
SCM practices
[PM1] [PMi]
[CV1] [CVn]
[PL1] [PLj]
Manufacturing / Assembly
practices
Logistics practices
Customer values
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
20 of 45
SCI
conceptual model
Identify industry sector
Identify customer values
Identify manufacturing
practices
Identify logistics practices
SCI Conceptual Model
Pairwise analyses
[CV1…CVn]
[PM1…PMi] [PL1…PLj]
[PM1] [PMi]
[CV1…CVn]
[PL1] [PLj]
[CV1…CVn]
PMi: Manufacturing practices
PLj: Logistics Practices
CVn: Customer values
Data collection from end
customers
Data collection through
interview with experts
[CV1] [CVn]
SCM practices
BN data mining
ANP Analysis
PMi / PLj is
sensitive to CVn
Set BN state as
“Recommended”
Yes
Set BN state as “Not
Recommended”
DataCollectionDataAnalysisandModelDevelopment
Customer values have three states:
• Important
• Neutral
• Not important
SCP practices have two states:
• Recommended
• Not recommended
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
21 of 45
Expectations from the SCI
conceptual model
1. Present the current state
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
22 of 45
Expectations from the SCI
conceptual model
1. Present the current state
2. Monitor scenarios
If customer value X is important, which SCM practice is
more recommended
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
23 of 45
Expectations from the SCI
conceptual model
1. Present the current state
2. Monitor scenarios
If customer value X is important, which SCM practice is
more recommended
If we implement practice Y, how does it contribute to the
customer values.
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
24 of 45
Agenda
1. Introduction
– Supply chain integration
– Research questions and objectives
– Methodology
2. Proposed approach
– Data collection
– Data analysis
– Expectations
3. Case studies
– Case study I: Customer values
– Case study II & III: SCI model in the fashion and food industries
4. Conclusion
– Contribution to theory
– Managerial contributions
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
25 of 45
Case studies Pairwise comparison of
customer values
Data analysis
CASE STUDY 1
CASE STUDY 2 & 3
Import analysis of customer value data
Interview with experts in the respected
industry
Identify importance of SCM practices
with respect to customer values
Development of the integration model
Import
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
26 of 45
Case Study # 1: Customer values
Time Customization
Know-how
Respect
environment
CostQuality
Automotive Electronics Furniture Food Fashion Pharmaceutical
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
27 of 45
Case Study # 1: Customer values
Time Customization
Know-how
Respect
environment
CostQuality
Automotive Electronics Furniture Food Fashion Pharmaceutical
Customer value coefficient in 6
industries
Coefficient of Cost in
Electronics industry is: 0.23
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
28 of 45
Case Study 2 & 3: SCI model in Fashion and
Food industries
Company name
Position of
interviewee
Country Industry sector
Upward Unlimited
Supply chain
specialist
USA Fashion
Sopplan Director New Zealand Food
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
29 of 45
29
Case Study 2 & 3: SCI model in Fashion and
Food industries
Company name
Position of
interviewee
Country Industry sector
Upward Unlimited
Supply chain
specialist
USA Fashion
Sopplan Director New Zealand Food
Food industry
Constant products
Local market influences
Short time to market
Complex network of suppliers
Not season sensitive products
Fashion industry
Highly changing products
Global market influences
Long time to market
Simple network of suppliers
Season sensitive products
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
30 of 45
Case Study # 2: SCI model in fashion industry
Quality
Not important
Neutral
Important
15%
29%
56%
Cost
Not important
Neutral
Important
21%
29%
50%
Know-how
Not important
Neutral
Important
46%
36%
17%
Customization
Not important
Neutral
Important
37%
33%
30%
Respect environment
Not important
Neutral
Important
26%
35%
39%
Time
Not important
Neutral
Important
58%
29%
13%
Phase1: Analysis of customer values
Bayesian network of customer values in the
fashion industry- Generated by GeNIe 2.0
Dataset volume: 131
Order of customer
values with respect to
“important” priority
1. Quality
2. Cost
3. Respect Env.
4. Customization
5. Know-how
6. Time
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
31 of 45
Case Study # 2: SCI model in fashion industry
Quality
Not important
Neutral
Important
15%
29%
56%
Cost
Not important
Neutral
Important
21%
29%
50%
Know-how
Not important
Neutral
Important
46%
36%
17%
Customization
Not important
Neutral
Important
37%
33%
30%
Respect environment
Not important
Neutral
Important
26%
35%
39%
Time
Not important
Neutral
Important
58%
29%
13%
Phase1: Analysis of customer values
Bayesian network of customer values in the
fashion industry- Generated by GeNIe 2.0
Dataset volume: 131
End customers prefer
to sacrifice Time to
get higher value on
other dimensions.
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
32 of 45
Case Study # 2: SCI model in fashion industry
Phase1: Analysis of customer values
Bayesian network of customer values in the fashion industry- Generated by GeNIe 2.0
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
33 of 45
Case Study # 2: SCI model in fashion industry
Phase 2: Pairwise comparison of SCM
practices with respect to customer values
Criteria
Cost Customization Know-how Quality Respect env Time
Alternative Manufacturing Practices
Cross functional oprations
Decrease work in process
Implement standards
Mixed production planning
Use recyclable materials
Alternative Logistics Practices
Implement standards
Information sharing with customer
Just in time
Visibility to up/down stream inventories
The ANP clusters: criteria and alternatives
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
34 of 45
Case Study # 2: SCI model in fashion industry
Phase 2: Pairwise comparison of SCM
practices with respect to customer values
The ANP clusters: criteria and alternatives
Screenshot from SuperDecisions 2.2.6
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
35 of 45
Clusters
Norm.
values
LogisticsPractices
Implementing logistics standards
0.03
Information Sharing with
Customer 0.09
Just in Time 0.10
Visibility to upstream /
downstream inventories 0.11
Manufacturing
Practices
Cross functional operations 0.14
Decrease work in process 0.20
Implement standards 0.14
Mixed production planning 0.12
Use recyclable materials 0.05
Comparisoncriterion
Cost 0.29
Customization 0.11
Know-how 0.06
Quality 0.16
Respect Environment 0.07
Time 0.30
Case Study # 2: SCI model in fashion industry
Phase 2: Pairwise comparison of SCM
practices with respect to customer values
The ANP clusters: criteria and alternatives
Notice: Time was the least
important value from
customer’s perspective,
while it is the most
important from expert’s
perspective.
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
36 of 45
Case Study # 2: SCI in fashion industry
Phase 3: Development of SCI model in the fashion industry
Quality
Not important
Neutral
Important
15%
29%
56%
Cost
Not important
Neutral
Important
21%
29%
50%
Customization
Not important
Neutral
Important
37%
33%
30%
Respect environment
Not important
Neutral
Important
26%
35%
39%
Time
Not important
Neutral
Important
58%
29%
13%
Q 3
Recommended
Not Recommended
19%
81%
Q 4
Recommended
Not Recommended
11%
89%
Q 5
Recommended
Not Recommended
4%
96%
Q 6
Recommended
Not Recommended
3
97%
Q 7
Recommended
Not Recommended
6%
94%
Q 8
Recommended
Not Recommended
6%
94%
Q 9
Recommended
Not Recommended
7%
93%
Q 1
Recommended
Not Recommended
13%
87%
Q 2
Recommended
Not Recommended
31%
69%
T 1
Recommended
Not Recommended
14%
86%
T 2
Recommended
Not Recommended
21%
79%
T 3
Recommended
Not Recommended
14%
86%
T 4
Recommended
Not Recommended
12%
88%
T 6
Recommended
Not Recommended
3%
97%
T 5
Recommended
Not Recommended
6%
94%
T 7
Recommended
Not Recommended
9%
91%
T 8
Recommended
Not Recommended
10%
90%
T 9
Recommended
Not Recommended
11%
89%
C 1
Recommended
Not Recommended
11%
89%
C 4
Recommended
Not Recommended
12%
88%
C 3
Recommended
Not Recommended
11%
89%
C 2
Recommended
Not Recommended
21%
79%
C 5
Recommended
Not Recommended
4%
96%
C 7
Recommended
Not Recommended
5%
95%
C 8
Recommended
Not Recommended
12%
88%
C 6
Recommended
Not Recommended
3%
97%
C 9
Recommended
Not Recommended
14%
86%
Cu 2
Recommended
Not Recommended
18%
82%
Cu 1
Recommended
Not Recommended
22%
78%
Cu 4
Recommended
Not Recommended
13%
91%
Cu 3
Recommended
Not Recommended
13%
87%
Cu 5
Recommended
Not Recommended
5%
95%
Cu 6
Recommended
Not Recommended
3%
97%
Cu 7
Recommended
Not Recommended
8%
92%
Cu 8
Recommended
Not Recommended
9%
91%
Cu 9
Recommended
Not Recommended
9%
91%
R 1
Recommended
Not Recommended
11%
89%
R 4
Recommended
Not Recommended
10%
90%
R 2
Recommended
Not Recommended
18%
82%
R 3
Recommended
Not Recommended
23%
77%
R 5
Recommended
Not Recommended
11%
89%
R 6
Recommended
Not Recommended
2%
98%
R 7
Recommended
Not Recommended
6%
94%
R 8
Recommended
Not Recommended
5%
95%
R 9
Recommended
Not Recommended
8%
92%
Know-how
Not important
Neutral
Important
46%
36%
18%
K 1
Recommended
Not Recommended
13%
87%
K 2
Recommended
Not Recommended
18%
82%
K 3
Recommended
Not Recommended
14%
86%
K 4
Recommended
Not Recommended
12%
88%
K 5
Recommended
Not Recommended
5%
95%
K 6
Recommended
Not Recommended
4%
96%
K 7
Recommended
Not Recommended
13%
87%
K 8
Recommended
Not Recommended
10%
90%
K 9
Recommended
Not Recommended
11%
89%
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
37 of 45
Case Study # 3: SCI model in food industry
Phase1: Analysis of customer values
Bayesian network of customer values in the
food industry- Generated by GeNIe 2.0
Dataset volume: 131
Quality
Not important
Neutral
Important
12%
25%
63%
Cost
Not important
Neutral
Important
28%
25%
47%
Know-how
Not important
Neutral
Important
43%
34%
23%
Customization
Not important
Neutral
Important
48%
29%
24%
Respect environment
Not important
Neutral
Important
27%
33%
41%
Time
Not important
Neutral
Important
54%
26%
19%
Order of customer
values with respect to
“important” priority
1. Quality
2. Cost
3. Respect Env.
4. Customization
5. Know-how
6. Time
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
38 of 45
Case Study # 3: SCI model in food industry
Phase 2: Pairwise comparison of SCM
practices with respect to customer values
Criteria
Cost Customization Know-how Quality Respect env Time
Alternative Manufacturing Practices
Cross functional oprations
Decrease work in process
Implement standards
Mixed production planning
Use recyclable materials
Alternative Logistics Practices
Implement standards
Information sharing with customer
Just in time
Visibility to up/down stream inventories
The ANP clusters: criteria and alternatives
Clusters
Normalize
d values
LogisticsPractices
Implementing logistics
standards 0.01
Information Sharing with
Customer 0.04
Just in Time 0.02
Visibility to upstream /
downstream inventories 0.02
Manufacturing
Practices
Cross functional operations 0.22
Decrease work in process 0.15
Implement standards 0.42
Mixed production planning 0.09
Use recyclable materials 0.02
Comparisoncriterion
Cost 0.25
Customization 0.05
Know-how 0.11
Quality 0.51
Respect Environment 0.015
Time 0.06
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
39 of 45
Case Study # 3: SCI in food industry
Phase 3: Development of SCI model in the food industry
Quality
Not important
Neutral
Important
12%
25%
63%
Cost
Not important
Neutral
Important
28%
25%
47%
Customization
Not important
Neutral
Important
48%
29%
23%
Respect environment
Not important
Neutral
Important
27%
33%
41%
Time
Not important
Neutral
Important
54%
26%
19%
Q 3
Recommended
Not Recommended
48%
52%
Q 4
Recommended
Not Recommended
9%
91%
Q 5
Recommended
Not Recommended
2%
92%
Q 6
Recommended
Not Recommended
1%
99%
Q 7
Recommended
Not Recommended
3%
97%
Q 8
Recommended
Not Recommended
2%
98%
Q 9
Recommended
Not Recommended
2%
98%
Q 1
Recommended
Not Recommended
18%
82%
Q 2
Recommended
Not Recommended
16%
84%
T 1
Recommended
Not Recommended
21%
79%
T 2
Recommended
Not Recommended
17%
83%
T 3
Recommended
Not Recommended
40%
60%
T 4
Recommended
Not Recommended
9%
91%
T 6
Recommended
Not Recommended
1%
99%
T 5
Recommended
Not Recommended
2%
98%
T 7
Recommended
Not Recommended
4%
96%
T 8
Recommended
Not Recommended
2%
98%
T 9
Recommended
Not Recommended
2%
98%
C 1
Recommended
Not Recommended
29%
71%
C 4
Recommended
Not Recommended
9%
91%
C 3
Recommended
Not Recommended
37%
63%
C 2
Recommended
Not Recommended
12%
88%
C 5
Recommended
Not Recommended
2%
98%
C 7
Recommended
Not Recommended
4%
96%
C 8
Recommended
Not Recommended
2%
98%
C 6
Recommended
Not Recommended
1%
99%
C 9
Recommended
Not Recommended
3%
97%
Cu 2
Recommended
Not Recommended
14%
86%
Cu 1
Recommended
Not Recommended
24%
76%
Cu 4
Recommended
Not Recommended
9%
91%
Cu 3
Recommended
Not Recommended
36%
64%
Cu 5
Recommended
Not Recommended
2%
98%
Cu 6
Recommended
Not Recommended
1%
99%
Cu 7
Recommended
Not Recommended
7%
93%
Cu 8
Recommended
Not Recommended
3%
97%
Cu 9
Recommended
Not Recommended
3%
97%
R 1
Recommended
Not Recommended
16%
84%
R 4
Recommended
Not Recommended
8%
92%
R 2
Recommended
Not Recommended
10%
90%
R 3
Recommended
Not Recommended
30%
70%
R 5
Recommended
Not Recommended
9%
91%
R 6
Recommended
Not Recommended
3%
97%
R 7
Recommended
Not Recommended
10%
90%
R 8
Recommended
Not Recommended
7%
93%
R 9
Recommended
Not Recommended
7%
93%
Know-how
Not important
Neutral
Important
43%
34%
23%
K 1
Recommended
Not Recommended
23%
77%
K 2
Recommended
Not Recommended
13%
87%
K 3
Recommended
Not Recommended
42%
58%
K 4
Recommended
Not Recommended
11%
89%
K 5
Recommended
Not Recommended
2%
98%
K 6
Recommended
Not Recommended
1%
99%
K 7
Recommended
Not Recommended
4%
96%
K 8
Recommended
Not Recommended
2%
98%
K 9
Recommended
Not Recommended
2%
98%
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
40 of 45
Case Study # 3: SCI in food industry
Play the video Generated by GeNIe 2.0
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
41 of 45
Case Study # 3: Scenario monitoring
Practices
Normal
state
“respect
environment”
is important
Difference
Logistics
Practices
Implementing logistics standards 3% 7% +4%
Information Sharing with Customer 10% 19% +9%
Just in Time 7% 13% +6%
Visibility to up/down stream inventories 7% 13% +6%
Manufacturing
Practices
Cross functional operations 16% 7% -9%
Decrease work in process 10% 4% -6%
Implement standards 30% 13% -17%
Mixed production planning 8% 5% -3%
Use recyclable materials 9% 19% +10%
If “Respect Env” is grounded as “important”
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
42 of 45
Agenda
1. Introduction
– Supply chain integration
– Research questions and objectives
– Methodology
2. Proposed approach
– Data collection
– Data analysis
– Expectations
3. Case studies
– Case study I: Customer values
– Case study II & III: SCI model in the fashion and food industries
4. Conclusion
– Contribution to theory
– Managerial contributions
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
43 of 45
Conclusions
 Although development of a comprehensive model is not feasible
but it is possible to shed light to some of its aspects.
 Identifying correlations between customer values and SCM
practices is one step toward development of SCI model.
 Combination of ANP and BN as tools leads to quantifying mutual
correlations between customer values and practices, also it provides
platform to monitor variety of scenarios.
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
44 of 45
Conclusions
Quantifying mutual correlations between customer values and
SCM practices assist decision makers to:
 Provides an illustrative presentation of the current state of
the chain
 Align internal activities in their firms with expectations of
the end customers
 Truly understand which value is more preferred by the end
customers
 Predict the market influence of their practices
UNIDEMI – R&D Unit in Mechanical & Industrial Engineering
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
UNIVERSIDADE NOVA DE LISBOA
45 of 45
Acknowledgments
• DEMI
o Prof. V. Cruz Machado
o Teachers
o Staffs
o Students and friends
• Case companies
o Eric Hargraves, Upward Limited Inc., USA
o John Chase, Sopplan, New Zealand
• Software
o GeNIe 2.0: Decision Systems Laboratory, University of Pittsburgh
o Super Decisions 2.2.6: Creative Decisions Foundation, Pittsburgh

More Related Content

What's hot

Introduction To Scm
Introduction To ScmIntroduction To Scm
Introduction To Scm
3abooodi
 
PPT -Lean Supply Chain Presentation
PPT -Lean Supply Chain PresentationPPT -Lean Supply Chain Presentation
PPT -Lean Supply Chain Presentation
Ike. M Nwamuo, MSQA
 
Supply chain
Supply chainSupply chain
Supply chain
MOHD ARISH
 
Supply chain mamngement
Supply chain mamngementSupply chain mamngement
Supply chain mamngement
jyoti_arora_19
 
Supply chain management
Supply chain managementSupply chain management
Supply chain management
Bhabesh Gautam
 
Supply chain-management
Supply chain-managementSupply chain-management
Supply chain-management
Mohammad Hasib
 
Supply chain management practice by Spining Industry.
Supply chain management practice by Spining Industry.Supply chain management practice by Spining Industry.
Supply chain management practice by Spining Industry.
Monir Uz Zaman
 
Supply chain managements
Supply chain managementsSupply chain managements
Supply chain managements
Sarwat Shabbir
 
Supply chain management
Supply chain managementSupply chain management
Supply chain management
Monisha Arulmalar D
 
Supply Chain Management for Future
Supply Chain Management for FutureSupply Chain Management for Future
Basics of Supply Chain Management
Basics of Supply Chain ManagementBasics of Supply Chain Management
Basics of Supply Chain Management
vip1233
 
Introduction to supply chain management
Introduction to supply chain managementIntroduction to supply chain management
Introduction to supply chain management
Kwanda Matiwane
 
Scm
ScmScm
Supply Chain Management English
Supply Chain Management EnglishSupply Chain Management English
Supply Chain Management English
Yesica Adicondro
 
Supply chain management in the textile industry
Supply chain management in the textile industrySupply chain management in the textile industry
Supply chain management in the textile industry
Manish Tiwary
 
Supply Chain Management Hot Topics
Supply Chain Management Hot TopicsSupply Chain Management Hot Topics
Supply Chain Management Hot Topics
Tom Craig
 
Basic concepts of supply chain management
Basic concepts of supply chain managementBasic concepts of supply chain management
Basic concepts of supply chain management
AyeshaBabar9
 
Supply chain mngt
Supply chain mngtSupply chain mngt
Supply chain mngt
has10nas
 
Supply Chain Management
Supply Chain ManagementSupply Chain Management
Presentation on supply chain management
Presentation on supply chain managementPresentation on supply chain management
Presentation on supply chain management
Ankur Mehta
 

What's hot (20)

Introduction To Scm
Introduction To ScmIntroduction To Scm
Introduction To Scm
 
PPT -Lean Supply Chain Presentation
PPT -Lean Supply Chain PresentationPPT -Lean Supply Chain Presentation
PPT -Lean Supply Chain Presentation
 
Supply chain
Supply chainSupply chain
Supply chain
 
Supply chain mamngement
Supply chain mamngementSupply chain mamngement
Supply chain mamngement
 
Supply chain management
Supply chain managementSupply chain management
Supply chain management
 
Supply chain-management
Supply chain-managementSupply chain-management
Supply chain-management
 
Supply chain management practice by Spining Industry.
Supply chain management practice by Spining Industry.Supply chain management practice by Spining Industry.
Supply chain management practice by Spining Industry.
 
Supply chain managements
Supply chain managementsSupply chain managements
Supply chain managements
 
Supply chain management
Supply chain managementSupply chain management
Supply chain management
 
Supply Chain Management for Future
Supply Chain Management for FutureSupply Chain Management for Future
Supply Chain Management for Future
 
Basics of Supply Chain Management
Basics of Supply Chain ManagementBasics of Supply Chain Management
Basics of Supply Chain Management
 
Introduction to supply chain management
Introduction to supply chain managementIntroduction to supply chain management
Introduction to supply chain management
 
Scm
ScmScm
Scm
 
Supply Chain Management English
Supply Chain Management EnglishSupply Chain Management English
Supply Chain Management English
 
Supply chain management in the textile industry
Supply chain management in the textile industrySupply chain management in the textile industry
Supply chain management in the textile industry
 
Supply Chain Management Hot Topics
Supply Chain Management Hot TopicsSupply Chain Management Hot Topics
Supply Chain Management Hot Topics
 
Basic concepts of supply chain management
Basic concepts of supply chain managementBasic concepts of supply chain management
Basic concepts of supply chain management
 
Supply chain mngt
Supply chain mngtSupply chain mngt
Supply chain mngt
 
Supply Chain Management
Supply Chain ManagementSupply Chain Management
Supply Chain Management
 
Presentation on supply chain management
Presentation on supply chain managementPresentation on supply chain management
Presentation on supply chain management
 

Viewers also liked

Integrated Supply Chain
Integrated Supply ChainIntegrated Supply Chain
Integrated Supply Chain
SSA KPI
 
7 agile supply chain
7 agile supply chain7 agile supply chain
7 agile supply chain
valerod2
 
Ircmf 2009 Sri Lanka
Ircmf 2009 Sri LankaIrcmf 2009 Sri Lanka
Ircmf 2009 Sri Lanka
chintho
 
Supply Chain Integration
Supply Chain IntegrationSupply Chain Integration
Supply Chain Integration
3abooodi
 
Supply chain integration
Supply chain integrationSupply chain integration
Supply chain integration
Kuchenmeister
 
Agile supply chain
Agile supply chainAgile supply chain
Agile supply chain
Archil Nasrashvili
 
In-house or Outsource? Evaluating the Make vs. Buy Decision
In-house or Outsource? Evaluating the Make vs. Buy DecisionIn-house or Outsource? Evaluating the Make vs. Buy Decision
In-house or Outsource? Evaluating the Make vs. Buy Decision
Continuous Computing
 
IT Sourcing Strategy
IT Sourcing  StrategyIT Sourcing  Strategy
IT Sourcing Strategy
Sameer Paradia
 
Hp Network Printer Design for Universality
Hp Network Printer Design for UniversalityHp Network Printer Design for Universality
Hp Network Printer Design for Universality
Pawan Garg
 
Tw Overview For Linked In
Tw Overview For Linked InTw Overview For Linked In
Tw Overview For Linked In
francesca_beddow
 
Supply chain management unit 5
Supply chain management  unit 5Supply chain management  unit 5
Supply chain management unit 5
Saravanan Murugan
 
Supply Chain Performance
Supply Chain PerformanceSupply Chain Performance
Supply Chain Performance
Anand Subramaniam
 
Outsourcing methods ppt
Outsourcing methods pptOutsourcing methods ppt
Outsourcing methods ppt
Prithvi Ghag
 
Strategic Sourcing
Strategic Sourcing Strategic Sourcing
Strategic Sourcing
mubarak2009
 
Pricing and Revenue management in SCM
Pricing and Revenue management in SCMPricing and Revenue management in SCM
Pricing and Revenue management in SCM
Hammaduddin
 
Supply Chain Performance Measure
Supply Chain Performance MeasureSupply Chain Performance Measure
Supply Chain Performance Measure
Rama Renspandy
 
Supplier evaluation & selection
Supplier evaluation & selectionSupplier evaluation & selection
Supplier evaluation & selection
Ankit
 
Supplier evaluation criteria
Supplier evaluation criteriaSupplier evaluation criteria
Supplier evaluation criteria
Art Acosta
 
Sourcing strategies
Sourcing strategiesSourcing strategies
Sourcing strategies
mafecuca
 
Demand forecasting in supply chain
Demand forecasting in supply chainDemand forecasting in supply chain
Demand forecasting in supply chain
vishnuvsvn
 

Viewers also liked (20)

Integrated Supply Chain
Integrated Supply ChainIntegrated Supply Chain
Integrated Supply Chain
 
7 agile supply chain
7 agile supply chain7 agile supply chain
7 agile supply chain
 
Ircmf 2009 Sri Lanka
Ircmf 2009 Sri LankaIrcmf 2009 Sri Lanka
Ircmf 2009 Sri Lanka
 
Supply Chain Integration
Supply Chain IntegrationSupply Chain Integration
Supply Chain Integration
 
Supply chain integration
Supply chain integrationSupply chain integration
Supply chain integration
 
Agile supply chain
Agile supply chainAgile supply chain
Agile supply chain
 
In-house or Outsource? Evaluating the Make vs. Buy Decision
In-house or Outsource? Evaluating the Make vs. Buy DecisionIn-house or Outsource? Evaluating the Make vs. Buy Decision
In-house or Outsource? Evaluating the Make vs. Buy Decision
 
IT Sourcing Strategy
IT Sourcing  StrategyIT Sourcing  Strategy
IT Sourcing Strategy
 
Hp Network Printer Design for Universality
Hp Network Printer Design for UniversalityHp Network Printer Design for Universality
Hp Network Printer Design for Universality
 
Tw Overview For Linked In
Tw Overview For Linked InTw Overview For Linked In
Tw Overview For Linked In
 
Supply chain management unit 5
Supply chain management  unit 5Supply chain management  unit 5
Supply chain management unit 5
 
Supply Chain Performance
Supply Chain PerformanceSupply Chain Performance
Supply Chain Performance
 
Outsourcing methods ppt
Outsourcing methods pptOutsourcing methods ppt
Outsourcing methods ppt
 
Strategic Sourcing
Strategic Sourcing Strategic Sourcing
Strategic Sourcing
 
Pricing and Revenue management in SCM
Pricing and Revenue management in SCMPricing and Revenue management in SCM
Pricing and Revenue management in SCM
 
Supply Chain Performance Measure
Supply Chain Performance MeasureSupply Chain Performance Measure
Supply Chain Performance Measure
 
Supplier evaluation & selection
Supplier evaluation & selectionSupplier evaluation & selection
Supplier evaluation & selection
 
Supplier evaluation criteria
Supplier evaluation criteriaSupplier evaluation criteria
Supplier evaluation criteria
 
Sourcing strategies
Sourcing strategiesSourcing strategies
Sourcing strategies
 
Demand forecasting in supply chain
Demand forecasting in supply chainDemand forecasting in supply chain
Demand forecasting in supply chain
 

Similar to Supply Chain Integration: Practices & Customer values

Payaro supply chain ddmrp neoma jun 2020
Payaro supply chain ddmrp neoma jun 2020Payaro supply chain ddmrp neoma jun 2020
Payaro supply chain ddmrp neoma jun 2020
Andrea Payaro
 
Servitization Alberto de la Calle
Servitization Alberto de la CalleServitization Alberto de la Calle
Servitization Alberto de la Calle
Orkestra
 
University of Cambridge 2016 CIM Programme R van Delden
University of Cambridge 2016 CIM Programme R van DeldenUniversity of Cambridge 2016 CIM Programme R van Delden
University of Cambridge 2016 CIM Programme R van Delden
Richard VAN DELDEN
 
Conceptual model of supply chain management
Conceptual model of supply chain managementConceptual model of supply chain management
Conceptual model of supply chain management
AbhinavChandra29
 
A Roadmap To Move In Supply Chain Management
A Roadmap To Move In Supply Chain ManagementA Roadmap To Move In Supply Chain Management
A Roadmap To Move In Supply Chain Management
Jie Wang
 
Supply chain process in wipro
Supply chain process in wiproSupply chain process in wipro
Supply chain process in wipro
Aman Pahuja
 
Article Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docxArticle Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docx
write5
 
Article Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docxArticle Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docx
write12
 
Technology Strategy Canvas
Technology Strategy CanvasTechnology Strategy Canvas
Technology Strategy Canvas
shahmehdi
 
How to implement models of Supply Chain in crowdfunding Technological projects
How to implement models of Supply Chain in crowdfunding Technological projectsHow to implement models of Supply Chain in crowdfunding Technological projects
How to implement models of Supply Chain in crowdfunding Technological projects
Raquel Ureña Joyanes
 
Implementing integrated supply chain
Implementing integrated supply chainImplementing integrated supply chain
Implementing integrated supply chain
Dr Lendy Spires
 
Supply Chain Analytics for the modern enterprise
Supply Chain Analytics for the modern enterpriseSupply Chain Analytics for the modern enterprise
Supply Chain Analytics for the modern enterprise
BRIDGEi2i Analytics Solutions
 
Aftermarket2012 cargotec malcolmyoull
Aftermarket2012 cargotec malcolmyoullAftermarket2012 cargotec malcolmyoull
Aftermarket2012 cargotec malcolmyoull
Copperberg
 
IRJET- Review Paper on Supply Chain Management of Windshield
IRJET- Review Paper on Supply Chain Management of WindshieldIRJET- Review Paper on Supply Chain Management of Windshield
IRJET- Review Paper on Supply Chain Management of Windshield
IRJET Journal
 
Performance Measurement and Improvement of Lean Manufacturing Operations: A L...
Performance Measurement and Improvement of Lean Manufacturing Operations: A L...Performance Measurement and Improvement of Lean Manufacturing Operations: A L...
Performance Measurement and Improvement of Lean Manufacturing Operations: A L...
Leandro Silvério
 
Educating SCM professionals
Educating SCM professionalsEducating SCM professionals
Educating SCM professionals
Abeer Ray
 
Simpda 2014 - A living story: measuring quality of developments in a large in...
Simpda 2014 - A living story: measuring quality of developments in a large in...Simpda 2014 - A living story: measuring quality of developments in a large in...
Simpda 2014 - A living story: measuring quality of developments in a large in...
SpagoWorld
 
Yn03
Yn03Yn03
Yn03
FNian
 
Six Sigma Black Belt Course outline and main components
Six Sigma Black Belt Course outline and main components Six Sigma Black Belt Course outline and main components
Six Sigma Black Belt Course outline and main components
MohamedElSantty1
 
worku ppt (proposal).pptx
worku ppt (proposal).pptxworku ppt (proposal).pptx
worku ppt (proposal).pptx
BetshaTizazu
 

Similar to Supply Chain Integration: Practices & Customer values (20)

Payaro supply chain ddmrp neoma jun 2020
Payaro supply chain ddmrp neoma jun 2020Payaro supply chain ddmrp neoma jun 2020
Payaro supply chain ddmrp neoma jun 2020
 
Servitization Alberto de la Calle
Servitization Alberto de la CalleServitization Alberto de la Calle
Servitization Alberto de la Calle
 
University of Cambridge 2016 CIM Programme R van Delden
University of Cambridge 2016 CIM Programme R van DeldenUniversity of Cambridge 2016 CIM Programme R van Delden
University of Cambridge 2016 CIM Programme R van Delden
 
Conceptual model of supply chain management
Conceptual model of supply chain managementConceptual model of supply chain management
Conceptual model of supply chain management
 
A Roadmap To Move In Supply Chain Management
A Roadmap To Move In Supply Chain ManagementA Roadmap To Move In Supply Chain Management
A Roadmap To Move In Supply Chain Management
 
Supply chain process in wipro
Supply chain process in wiproSupply chain process in wipro
Supply chain process in wipro
 
Article Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docxArticle Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docx
 
Article Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docxArticle Flexibility planning in global inbound logistics.docx
Article Flexibility planning in global inbound logistics.docx
 
Technology Strategy Canvas
Technology Strategy CanvasTechnology Strategy Canvas
Technology Strategy Canvas
 
How to implement models of Supply Chain in crowdfunding Technological projects
How to implement models of Supply Chain in crowdfunding Technological projectsHow to implement models of Supply Chain in crowdfunding Technological projects
How to implement models of Supply Chain in crowdfunding Technological projects
 
Implementing integrated supply chain
Implementing integrated supply chainImplementing integrated supply chain
Implementing integrated supply chain
 
Supply Chain Analytics for the modern enterprise
Supply Chain Analytics for the modern enterpriseSupply Chain Analytics for the modern enterprise
Supply Chain Analytics for the modern enterprise
 
Aftermarket2012 cargotec malcolmyoull
Aftermarket2012 cargotec malcolmyoullAftermarket2012 cargotec malcolmyoull
Aftermarket2012 cargotec malcolmyoull
 
IRJET- Review Paper on Supply Chain Management of Windshield
IRJET- Review Paper on Supply Chain Management of WindshieldIRJET- Review Paper on Supply Chain Management of Windshield
IRJET- Review Paper on Supply Chain Management of Windshield
 
Performance Measurement and Improvement of Lean Manufacturing Operations: A L...
Performance Measurement and Improvement of Lean Manufacturing Operations: A L...Performance Measurement and Improvement of Lean Manufacturing Operations: A L...
Performance Measurement and Improvement of Lean Manufacturing Operations: A L...
 
Educating SCM professionals
Educating SCM professionalsEducating SCM professionals
Educating SCM professionals
 
Simpda 2014 - A living story: measuring quality of developments in a large in...
Simpda 2014 - A living story: measuring quality of developments in a large in...Simpda 2014 - A living story: measuring quality of developments in a large in...
Simpda 2014 - A living story: measuring quality of developments in a large in...
 
Yn03
Yn03Yn03
Yn03
 
Six Sigma Black Belt Course outline and main components
Six Sigma Black Belt Course outline and main components Six Sigma Black Belt Course outline and main components
Six Sigma Black Belt Course outline and main components
 
worku ppt (proposal).pptx
worku ppt (proposal).pptxworku ppt (proposal).pptx
worku ppt (proposal).pptx
 

More from Meysam Maleki

From IaaS to SaaS
From IaaS to SaaSFrom IaaS to SaaS
From IaaS to SaaS
Meysam Maleki
 
Industry 4.0
Industry 4.0Industry 4.0
Industry 4.0
Meysam Maleki
 
E procurement platform implementation feasibility study and challenges
E procurement platform implementation feasibility study and challengesE procurement platform implementation feasibility study and challenges
E procurement platform implementation feasibility study and challenges
Meysam Maleki
 
Supply Chain Management: Distribution Networks
Supply Chain Management: Distribution NetworksSupply Chain Management: Distribution Networks
Supply Chain Management: Distribution Networks
Meysam Maleki
 
Human Resources
Human ResourcesHuman Resources
Human Resources
Meysam Maleki
 
Retail supply chain management
Retail supply chain managementRetail supply chain management
Retail supply chain management
Meysam Maleki
 
SCOR: Supply Chain Operations Reference Model
SCOR: Supply Chain Operations Reference ModelSCOR: Supply Chain Operations Reference Model
SCOR: Supply Chain Operations Reference Model
Meysam Maleki
 
Lean Supply Chain Management
Lean Supply Chain ManagementLean Supply Chain Management
Lean Supply Chain Management
Meysam Maleki
 
Green Supply Chain Management
Green Supply Chain ManagementGreen Supply Chain Management
Green Supply Chain Management
Meysam Maleki
 

More from Meysam Maleki (9)

From IaaS to SaaS
From IaaS to SaaSFrom IaaS to SaaS
From IaaS to SaaS
 
Industry 4.0
Industry 4.0Industry 4.0
Industry 4.0
 
E procurement platform implementation feasibility study and challenges
E procurement platform implementation feasibility study and challengesE procurement platform implementation feasibility study and challenges
E procurement platform implementation feasibility study and challenges
 
Supply Chain Management: Distribution Networks
Supply Chain Management: Distribution NetworksSupply Chain Management: Distribution Networks
Supply Chain Management: Distribution Networks
 
Human Resources
Human ResourcesHuman Resources
Human Resources
 
Retail supply chain management
Retail supply chain managementRetail supply chain management
Retail supply chain management
 
SCOR: Supply Chain Operations Reference Model
SCOR: Supply Chain Operations Reference ModelSCOR: Supply Chain Operations Reference Model
SCOR: Supply Chain Operations Reference Model
 
Lean Supply Chain Management
Lean Supply Chain ManagementLean Supply Chain Management
Lean Supply Chain Management
 
Green Supply Chain Management
Green Supply Chain ManagementGreen Supply Chain Management
Green Supply Chain Management
 

Recently uploaded

Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Atif Razi
 
Properties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure MeasurementProperties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure Measurement
Indrajeet sahu
 
ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...
ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...
ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...
Kuvempu University
 
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEERDELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
EMERSON EDUARDO RODRIGUES
 
Unit -II Spectroscopy - EC I B.Tech.pdf
Unit -II Spectroscopy - EC  I B.Tech.pdfUnit -II Spectroscopy - EC  I B.Tech.pdf
Unit -II Spectroscopy - EC I B.Tech.pdf
TeluguBadi
 
openshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoinopenshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoin
snaprevwdev
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Transcat
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
PreethaV16
 
一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理
uqyfuc
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
ydzowc
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
VANDANAMOHANGOUDA
 
Accident detection system project report.pdf
Accident detection system project report.pdfAccident detection system project report.pdf
Accident detection system project report.pdf
Kamal Acharya
 
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
upoux
 
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTERUNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
vmspraneeth
 
Open Channel Flow: fluid flow with a free surface
Open Channel Flow: fluid flow with a free surfaceOpen Channel Flow: fluid flow with a free surface
Open Channel Flow: fluid flow with a free surface
Indrajeet sahu
 
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
upoux
 
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
PriyankaKilaniya
 
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
pvpriya2
 
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
GiselleginaGloria
 
Digital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptxDigital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptx
aryanpankaj78
 

Recently uploaded (20)

Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
 
Properties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure MeasurementProperties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure Measurement
 
ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...
ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...
ELS: 2.4.1 POWER ELECTRONICS Course objectives: This course will enable stude...
 
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEERDELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
DELTA V MES EMERSON EDUARDO RODRIGUES ENGINEER
 
Unit -II Spectroscopy - EC I B.Tech.pdf
Unit -II Spectroscopy - EC  I B.Tech.pdfUnit -II Spectroscopy - EC  I B.Tech.pdf
Unit -II Spectroscopy - EC I B.Tech.pdf
 
openshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoinopenshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoin
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
 
一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
 
Accident detection system project report.pdf
Accident detection system project report.pdfAccident detection system project report.pdf
Accident detection system project report.pdf
 
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
 
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTERUNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
UNIT-III- DATA CONVERTERS ANALOG TO DIGITAL CONVERTER
 
Open Channel Flow: fluid flow with a free surface
Open Channel Flow: fluid flow with a free surfaceOpen Channel Flow: fluid flow with a free surface
Open Channel Flow: fluid flow with a free surface
 
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
 
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
 
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
 
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
 
Digital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptxDigital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptx
 

Supply Chain Integration: Practices & Customer values

  • 1. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA October 17, 2013 Supply Chain Integration: Practices and Customer Values Meysam Maleki maleki@fct.unl.pt
  • 2. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 2 of 45 Agenda 1. Introduction – Supply chain integration – Research questions and objectives – Methodology 2. Proposed approach – Data collection – Data analysis – Expectations 3. Case studies – Case study I: Customer values – Case study II & III: SCI model in the fashion and food industries 4. Conclusion – Contribution to theory – Managerial contributions
  • 3. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 3 of 45 Definition of Supply Chain Management Lambert, 2008 SCM is the integration of key business processes across the supply chain for the purpose of creating value for customers and stakeholders.
  • 4. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 4 of 45 Definition of Supply Chain Management Lambert, 2008 SCM is the integration of key business processes across the supply chain for the purpose of creating value for customers and stakeholders. Integration is embedded in the definition of SCM
  • 5. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 5 of 45 Definition of Supply Chain Management: Year wise frequency distribution of the keyword "supply chain integration": 2005 till March 01, 2013 – Generated by Google Trends (the figure is on the scale of 100): Figure 1.1; Page 3 Lambert, 2008 SCM is the integration of key business processes across the supply chain for the purpose of creating value for customers and stakeholders.
  • 6. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 6 of 45 Positioning the research are The literature agrees that a comprehensive SCI is not feasible owing to barriers such as lack of financial integration, cultural barriers, and lack of customer-centred metrics, inconsistent relationships with customers and suppliers and inequality in risk sharing. Carter et al., 2009
  • 7. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 7 of 45 Positioning the research area The literature agrees that a comprehensive SCI is not feasible owing to barriers such as lack of financial integration, cultural barriers, and lack of customer-centred metrics, inconsistent relationships with customers and suppliers and inequality in risk sharing. Carter et al., 2009 Supply chain practices Customer values
  • 8. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 8 of 45 Thesis structure CHAPTER 1 Overview of the research issues and objectives CHAPTER 2 Supply chain integration, integration models, Bayesian network, analytic network process CHAPTER 3 Comparative analysis, data collection methods CHAPTER 4 Proposed model, framework CHAPTER 5 Customer value data analysis, SCI model for fashion and food industries CHAPTER 6 Conclusion and future work INTRODUCTION LITERATURE REVIEW METHODOLOGY CONCEPTUAL MODEL CASE STUDIES CONCLUSION
  • 9. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 9 of 45 Research questions CHAPTER 1 Overview of the research issues and objectives CHAPTER 2 Supply chain integration, integration models, Bayesian network, analytic network process CHAPTER 3 Comparative analysis, data collection methods CHAPTER 4 Proposed model, framework CHAPTER 5 Customer value data analysis, SCI model for fashion and food industries CHAPTER 6 Conclusion and future work INTRODUCTION LITERATURE REVIEW METHODOLOGY CONCEPTUAL MODEL CASE STUDIES CONCLUSION o How can we integrate customer values and SCM practices? o How can we quantify relations between customer values and SCM practices? o What tools can be used in this approach?
  • 10. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 10 of 45 Research objectives CHAPTER 1 Overview of the research issues and objectives CHAPTER 2 Supply chain integration, integration models, Bayesian network, analytic network process CHAPTER 3 Comparative analysis, data collection methods CHAPTER 4 Proposed model, framework CHAPTER 5 Customer value data analysis, SCI model for fashion and food industries CHAPTER 6 Conclusion and future work INTRODUCTION LITERATURE REVIEW METHODOLOGY CONCEPTUAL MODEL CASE STUDIES CONCLUSION o Quantify correlations among customer values and practices o Provide possibility to plan scenarios o Study paiwise comparisons among customer values o Connect practices in supply chain with customer values
  • 11. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 11 of 45 Flow of materials and information in SC End Customer Customer values Manufacturing / Assembly Practices Logistics Practices Interview with experts Questionnaire ANP Model BN Model Supply Chain Integration Model PHASE 1PHASE 2 PHASE 3 Shared factors InputInput InputInput Research Methodology
  • 12. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 12 of 45 CHAPTER 1 Overview of the research issues and objectives CHAPTER 2 Supply chain integration, integration models, Bayesian network, analytic network process CHAPTER 3 Comparative analysis, data collection methods CHAPTER 4 Proposed model, framework CHAPTER 5 Customer value data analysis, SCI model for fashion and food industries CHAPTER 6 Conclusion and future work INTRODUCTION LITERATURE REVIEW METHODOLOGY CONCEPTUAL MODEL CASE STUDIES CONCLUSION Case studies CASE STUDY 1 Data collection and data analysis of customer values CASE STUDY 2 Development of SCI for the fashion industry CASE STUDY 3 Development of SCI for the food industry Input Input
  • 13. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 13 of 45 Agenda 1. Introduction – Supply chain integration – Research questions and objectives – Methodology 2. Proposed approach – Data collection – Data analysis – Expectations 3. Case studies – Case study I: Customer values – Case study II & III: SCI model in the fashion and food industries 4. Conclusion – Contribution to theory – Managerial contributions
  • 14. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 14 of 45 SCI conceptual model Identify industry sector Identify customer values Identify manufacturing practices Identify logistics practices SCI Conceptual Model Pairwise analyses [CV1…CVn] [PM1…PMi] [PL1…PLj] [PM1] [PMi] [CV1…CVn] [PL1] [PLj] [CV1…CVn] PMi: Manufacturing practices PLj: Logistics Practices CVn: Customer values Data collection from end customers Data collection through interview with experts [CV1] [CVn] SCM practices BN data mining ANP Analysis PMi / PLj is sensitive to CVn Set BN state as “Recommended” Yes Set BN state as “Not Recommended” DataCollectionDataAnalysisandModelDevelopment
  • 15. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 15 of 45 SCI conceptual model Identify industry sector Identify customer values Identify manufacturing practices Identify logistics practices SCI Conceptual Model Pairwise analyses [CV1…CVn] [PM1…PMi] [PL1…PLj] [PM1] [PMi] [CV1…CVn] [PL1] [PLj] [CV1…CVn] PMi: Manufacturing practices PLj: Logistics Practices CVn: Customer values Data collection from end customers Data collection through interview with experts [CV1] [CVn] SCM practices BN data mining ANP Analysis PMi / PLj is sensitive to CVn Set BN state as “Recommended” Yes Set BN state as “Not Recommended” DataCollectionDataAnalysisandModelDevelopment Customer value is the perception of a customer about a product or service.
  • 16. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 16 of 45 SCI conceptual model Identify industry sector Identify customer values Identify manufacturing practices Identify logistics practices SCI Conceptual Model Pairwise analyses [CV1…CVn] [PM1…PMi] [PL1…PLj] [PM1] [PMi] [CV1…CVn] [PL1] [PLj] [CV1…CVn] PMi: Manufacturing practices PLj: Logistics Practices CVn: Customer values Data collection from end customers Data collection through interview with experts [CV1] [CVn] SCM practices BN data mining ANP Analysis PMi / PLj is sensitive to CVn Set BN state as “Recommended” Yes Set BN state as “Not Recommended” DataCollectionDataAnalysisandModelDevelopment Customer value is the perception of a customer about a product or service. 1. Quality 2. Cost 3. Time 4. Customization 5. Know-how 6. Respect for the environment
  • 17. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 17 of 45 SCI conceptual model Identify industry sector Identify customer values Identify manufacturing practices Identify logistics practices SCI Conceptual Model Pairwise analyses [CV1…CVn] [PM1…PMi] [PL1…PLj] [PM1] [PMi] [CV1…CVn] [PL1] [PLj] [CV1…CVn] PMi: Manufacturing practices PLj: Logistics Practices CVn: Customer values Data collection from end customers Data collection through interview with experts [CV1] [CVn] SCM practices BN data mining ANP Analysis PMi / PLj is sensitive to CVn Set BN state as “Recommended” Yes Set BN state as “Not Recommended” DataCollectionDataAnalysisandModelDevelopment Significantlymoreimportant Morereimportant Thesameimportance moreimportant Significantlymoreimportant Cost      Quality 4 : 0 3 : 1 2 : 2 1 : 3 0 : 4 Pairwise comparison of customer values
  • 18. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 18 of 45 SCI conceptual model Identify industry sector Identify customer values Identify manufacturing practices Identify logistics practices SCI Conceptual Model Pairwise analyses [CV1…CVn] [PM1…PMi] [PL1…PLj] [PM1] [PMi] [CV1…CVn] [PL1] [PLj] [CV1…CVn] PMi: Manufacturing practices PLj: Logistics Practices CVn: Customer values Data collection from end customers Data collection through interview with experts [CV1] [CVn] SCM practices BN data mining ANP Analysis PMi / PLj is sensitive to CVn Set BN state as “Recommended” Yes Set BN state as “Not Recommended” DataCollectionDataAnalysisandModelDevelopment SCM practices: Actions employed by firms in order to achieve their goals along the chain • Just in time • Decrease work in process • Mixed production planning • …
  • 19. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 19 of 45 SCI conceptual model Identify industry sector Identify customer values Identify manufacturing practices Identify logistics practices SCI Conceptual Model Pairwise analyses [CV1…CVn] [PM1…PMi] [PL1…PLj] [PM1] [PMi] [CV1…CVn] [PL1] [PLj] [CV1…CVn] PMi: Manufacturing practices PLj: Logistics Practices CVn: Customer values Data collection from end customers Data collection through interview with experts [CV1] [CVn] SCM practices BN data mining ANP Analysis PMi / PLj is sensitive to CVn Set BN state as “Recommended” Yes Set BN state as “Not Recommended” DataCollectionDataAnalysisandModelDevelopment Pairwise comparison of SCM practices [PM1] [PMi] [CV1] [CVn] [PL1] [PLj] Manufacturing / Assembly practices Logistics practices Customer values
  • 20. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 20 of 45 SCI conceptual model Identify industry sector Identify customer values Identify manufacturing practices Identify logistics practices SCI Conceptual Model Pairwise analyses [CV1…CVn] [PM1…PMi] [PL1…PLj] [PM1] [PMi] [CV1…CVn] [PL1] [PLj] [CV1…CVn] PMi: Manufacturing practices PLj: Logistics Practices CVn: Customer values Data collection from end customers Data collection through interview with experts [CV1] [CVn] SCM practices BN data mining ANP Analysis PMi / PLj is sensitive to CVn Set BN state as “Recommended” Yes Set BN state as “Not Recommended” DataCollectionDataAnalysisandModelDevelopment Customer values have three states: • Important • Neutral • Not important SCP practices have two states: • Recommended • Not recommended
  • 21. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 21 of 45 Expectations from the SCI conceptual model 1. Present the current state
  • 22. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 22 of 45 Expectations from the SCI conceptual model 1. Present the current state 2. Monitor scenarios If customer value X is important, which SCM practice is more recommended
  • 23. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 23 of 45 Expectations from the SCI conceptual model 1. Present the current state 2. Monitor scenarios If customer value X is important, which SCM practice is more recommended If we implement practice Y, how does it contribute to the customer values.
  • 24. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 24 of 45 Agenda 1. Introduction – Supply chain integration – Research questions and objectives – Methodology 2. Proposed approach – Data collection – Data analysis – Expectations 3. Case studies – Case study I: Customer values – Case study II & III: SCI model in the fashion and food industries 4. Conclusion – Contribution to theory – Managerial contributions
  • 25. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 25 of 45 Case studies Pairwise comparison of customer values Data analysis CASE STUDY 1 CASE STUDY 2 & 3 Import analysis of customer value data Interview with experts in the respected industry Identify importance of SCM practices with respect to customer values Development of the integration model Import
  • 26. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 26 of 45 Case Study # 1: Customer values Time Customization Know-how Respect environment CostQuality Automotive Electronics Furniture Food Fashion Pharmaceutical
  • 27. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 27 of 45 Case Study # 1: Customer values Time Customization Know-how Respect environment CostQuality Automotive Electronics Furniture Food Fashion Pharmaceutical Customer value coefficient in 6 industries Coefficient of Cost in Electronics industry is: 0.23
  • 28. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 28 of 45 Case Study 2 & 3: SCI model in Fashion and Food industries Company name Position of interviewee Country Industry sector Upward Unlimited Supply chain specialist USA Fashion Sopplan Director New Zealand Food
  • 29. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 29 of 45 29 Case Study 2 & 3: SCI model in Fashion and Food industries Company name Position of interviewee Country Industry sector Upward Unlimited Supply chain specialist USA Fashion Sopplan Director New Zealand Food Food industry Constant products Local market influences Short time to market Complex network of suppliers Not season sensitive products Fashion industry Highly changing products Global market influences Long time to market Simple network of suppliers Season sensitive products
  • 30. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 30 of 45 Case Study # 2: SCI model in fashion industry Quality Not important Neutral Important 15% 29% 56% Cost Not important Neutral Important 21% 29% 50% Know-how Not important Neutral Important 46% 36% 17% Customization Not important Neutral Important 37% 33% 30% Respect environment Not important Neutral Important 26% 35% 39% Time Not important Neutral Important 58% 29% 13% Phase1: Analysis of customer values Bayesian network of customer values in the fashion industry- Generated by GeNIe 2.0 Dataset volume: 131 Order of customer values with respect to “important” priority 1. Quality 2. Cost 3. Respect Env. 4. Customization 5. Know-how 6. Time
  • 31. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 31 of 45 Case Study # 2: SCI model in fashion industry Quality Not important Neutral Important 15% 29% 56% Cost Not important Neutral Important 21% 29% 50% Know-how Not important Neutral Important 46% 36% 17% Customization Not important Neutral Important 37% 33% 30% Respect environment Not important Neutral Important 26% 35% 39% Time Not important Neutral Important 58% 29% 13% Phase1: Analysis of customer values Bayesian network of customer values in the fashion industry- Generated by GeNIe 2.0 Dataset volume: 131 End customers prefer to sacrifice Time to get higher value on other dimensions.
  • 32. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 32 of 45 Case Study # 2: SCI model in fashion industry Phase1: Analysis of customer values Bayesian network of customer values in the fashion industry- Generated by GeNIe 2.0
  • 33. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 33 of 45 Case Study # 2: SCI model in fashion industry Phase 2: Pairwise comparison of SCM practices with respect to customer values Criteria Cost Customization Know-how Quality Respect env Time Alternative Manufacturing Practices Cross functional oprations Decrease work in process Implement standards Mixed production planning Use recyclable materials Alternative Logistics Practices Implement standards Information sharing with customer Just in time Visibility to up/down stream inventories The ANP clusters: criteria and alternatives
  • 34. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 34 of 45 Case Study # 2: SCI model in fashion industry Phase 2: Pairwise comparison of SCM practices with respect to customer values The ANP clusters: criteria and alternatives Screenshot from SuperDecisions 2.2.6
  • 35. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 35 of 45 Clusters Norm. values LogisticsPractices Implementing logistics standards 0.03 Information Sharing with Customer 0.09 Just in Time 0.10 Visibility to upstream / downstream inventories 0.11 Manufacturing Practices Cross functional operations 0.14 Decrease work in process 0.20 Implement standards 0.14 Mixed production planning 0.12 Use recyclable materials 0.05 Comparisoncriterion Cost 0.29 Customization 0.11 Know-how 0.06 Quality 0.16 Respect Environment 0.07 Time 0.30 Case Study # 2: SCI model in fashion industry Phase 2: Pairwise comparison of SCM practices with respect to customer values The ANP clusters: criteria and alternatives Notice: Time was the least important value from customer’s perspective, while it is the most important from expert’s perspective.
  • 36. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 36 of 45 Case Study # 2: SCI in fashion industry Phase 3: Development of SCI model in the fashion industry Quality Not important Neutral Important 15% 29% 56% Cost Not important Neutral Important 21% 29% 50% Customization Not important Neutral Important 37% 33% 30% Respect environment Not important Neutral Important 26% 35% 39% Time Not important Neutral Important 58% 29% 13% Q 3 Recommended Not Recommended 19% 81% Q 4 Recommended Not Recommended 11% 89% Q 5 Recommended Not Recommended 4% 96% Q 6 Recommended Not Recommended 3 97% Q 7 Recommended Not Recommended 6% 94% Q 8 Recommended Not Recommended 6% 94% Q 9 Recommended Not Recommended 7% 93% Q 1 Recommended Not Recommended 13% 87% Q 2 Recommended Not Recommended 31% 69% T 1 Recommended Not Recommended 14% 86% T 2 Recommended Not Recommended 21% 79% T 3 Recommended Not Recommended 14% 86% T 4 Recommended Not Recommended 12% 88% T 6 Recommended Not Recommended 3% 97% T 5 Recommended Not Recommended 6% 94% T 7 Recommended Not Recommended 9% 91% T 8 Recommended Not Recommended 10% 90% T 9 Recommended Not Recommended 11% 89% C 1 Recommended Not Recommended 11% 89% C 4 Recommended Not Recommended 12% 88% C 3 Recommended Not Recommended 11% 89% C 2 Recommended Not Recommended 21% 79% C 5 Recommended Not Recommended 4% 96% C 7 Recommended Not Recommended 5% 95% C 8 Recommended Not Recommended 12% 88% C 6 Recommended Not Recommended 3% 97% C 9 Recommended Not Recommended 14% 86% Cu 2 Recommended Not Recommended 18% 82% Cu 1 Recommended Not Recommended 22% 78% Cu 4 Recommended Not Recommended 13% 91% Cu 3 Recommended Not Recommended 13% 87% Cu 5 Recommended Not Recommended 5% 95% Cu 6 Recommended Not Recommended 3% 97% Cu 7 Recommended Not Recommended 8% 92% Cu 8 Recommended Not Recommended 9% 91% Cu 9 Recommended Not Recommended 9% 91% R 1 Recommended Not Recommended 11% 89% R 4 Recommended Not Recommended 10% 90% R 2 Recommended Not Recommended 18% 82% R 3 Recommended Not Recommended 23% 77% R 5 Recommended Not Recommended 11% 89% R 6 Recommended Not Recommended 2% 98% R 7 Recommended Not Recommended 6% 94% R 8 Recommended Not Recommended 5% 95% R 9 Recommended Not Recommended 8% 92% Know-how Not important Neutral Important 46% 36% 18% K 1 Recommended Not Recommended 13% 87% K 2 Recommended Not Recommended 18% 82% K 3 Recommended Not Recommended 14% 86% K 4 Recommended Not Recommended 12% 88% K 5 Recommended Not Recommended 5% 95% K 6 Recommended Not Recommended 4% 96% K 7 Recommended Not Recommended 13% 87% K 8 Recommended Not Recommended 10% 90% K 9 Recommended Not Recommended 11% 89%
  • 37. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 37 of 45 Case Study # 3: SCI model in food industry Phase1: Analysis of customer values Bayesian network of customer values in the food industry- Generated by GeNIe 2.0 Dataset volume: 131 Quality Not important Neutral Important 12% 25% 63% Cost Not important Neutral Important 28% 25% 47% Know-how Not important Neutral Important 43% 34% 23% Customization Not important Neutral Important 48% 29% 24% Respect environment Not important Neutral Important 27% 33% 41% Time Not important Neutral Important 54% 26% 19% Order of customer values with respect to “important” priority 1. Quality 2. Cost 3. Respect Env. 4. Customization 5. Know-how 6. Time
  • 38. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 38 of 45 Case Study # 3: SCI model in food industry Phase 2: Pairwise comparison of SCM practices with respect to customer values Criteria Cost Customization Know-how Quality Respect env Time Alternative Manufacturing Practices Cross functional oprations Decrease work in process Implement standards Mixed production planning Use recyclable materials Alternative Logistics Practices Implement standards Information sharing with customer Just in time Visibility to up/down stream inventories The ANP clusters: criteria and alternatives Clusters Normalize d values LogisticsPractices Implementing logistics standards 0.01 Information Sharing with Customer 0.04 Just in Time 0.02 Visibility to upstream / downstream inventories 0.02 Manufacturing Practices Cross functional operations 0.22 Decrease work in process 0.15 Implement standards 0.42 Mixed production planning 0.09 Use recyclable materials 0.02 Comparisoncriterion Cost 0.25 Customization 0.05 Know-how 0.11 Quality 0.51 Respect Environment 0.015 Time 0.06
  • 39. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 39 of 45 Case Study # 3: SCI in food industry Phase 3: Development of SCI model in the food industry Quality Not important Neutral Important 12% 25% 63% Cost Not important Neutral Important 28% 25% 47% Customization Not important Neutral Important 48% 29% 23% Respect environment Not important Neutral Important 27% 33% 41% Time Not important Neutral Important 54% 26% 19% Q 3 Recommended Not Recommended 48% 52% Q 4 Recommended Not Recommended 9% 91% Q 5 Recommended Not Recommended 2% 92% Q 6 Recommended Not Recommended 1% 99% Q 7 Recommended Not Recommended 3% 97% Q 8 Recommended Not Recommended 2% 98% Q 9 Recommended Not Recommended 2% 98% Q 1 Recommended Not Recommended 18% 82% Q 2 Recommended Not Recommended 16% 84% T 1 Recommended Not Recommended 21% 79% T 2 Recommended Not Recommended 17% 83% T 3 Recommended Not Recommended 40% 60% T 4 Recommended Not Recommended 9% 91% T 6 Recommended Not Recommended 1% 99% T 5 Recommended Not Recommended 2% 98% T 7 Recommended Not Recommended 4% 96% T 8 Recommended Not Recommended 2% 98% T 9 Recommended Not Recommended 2% 98% C 1 Recommended Not Recommended 29% 71% C 4 Recommended Not Recommended 9% 91% C 3 Recommended Not Recommended 37% 63% C 2 Recommended Not Recommended 12% 88% C 5 Recommended Not Recommended 2% 98% C 7 Recommended Not Recommended 4% 96% C 8 Recommended Not Recommended 2% 98% C 6 Recommended Not Recommended 1% 99% C 9 Recommended Not Recommended 3% 97% Cu 2 Recommended Not Recommended 14% 86% Cu 1 Recommended Not Recommended 24% 76% Cu 4 Recommended Not Recommended 9% 91% Cu 3 Recommended Not Recommended 36% 64% Cu 5 Recommended Not Recommended 2% 98% Cu 6 Recommended Not Recommended 1% 99% Cu 7 Recommended Not Recommended 7% 93% Cu 8 Recommended Not Recommended 3% 97% Cu 9 Recommended Not Recommended 3% 97% R 1 Recommended Not Recommended 16% 84% R 4 Recommended Not Recommended 8% 92% R 2 Recommended Not Recommended 10% 90% R 3 Recommended Not Recommended 30% 70% R 5 Recommended Not Recommended 9% 91% R 6 Recommended Not Recommended 3% 97% R 7 Recommended Not Recommended 10% 90% R 8 Recommended Not Recommended 7% 93% R 9 Recommended Not Recommended 7% 93% Know-how Not important Neutral Important 43% 34% 23% K 1 Recommended Not Recommended 23% 77% K 2 Recommended Not Recommended 13% 87% K 3 Recommended Not Recommended 42% 58% K 4 Recommended Not Recommended 11% 89% K 5 Recommended Not Recommended 2% 98% K 6 Recommended Not Recommended 1% 99% K 7 Recommended Not Recommended 4% 96% K 8 Recommended Not Recommended 2% 98% K 9 Recommended Not Recommended 2% 98%
  • 40. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 40 of 45 Case Study # 3: SCI in food industry Play the video Generated by GeNIe 2.0
  • 41. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 41 of 45 Case Study # 3: Scenario monitoring Practices Normal state “respect environment” is important Difference Logistics Practices Implementing logistics standards 3% 7% +4% Information Sharing with Customer 10% 19% +9% Just in Time 7% 13% +6% Visibility to up/down stream inventories 7% 13% +6% Manufacturing Practices Cross functional operations 16% 7% -9% Decrease work in process 10% 4% -6% Implement standards 30% 13% -17% Mixed production planning 8% 5% -3% Use recyclable materials 9% 19% +10% If “Respect Env” is grounded as “important”
  • 42. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 42 of 45 Agenda 1. Introduction – Supply chain integration – Research questions and objectives – Methodology 2. Proposed approach – Data collection – Data analysis – Expectations 3. Case studies – Case study I: Customer values – Case study II & III: SCI model in the fashion and food industries 4. Conclusion – Contribution to theory – Managerial contributions
  • 43. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 43 of 45 Conclusions  Although development of a comprehensive model is not feasible but it is possible to shed light to some of its aspects.  Identifying correlations between customer values and SCM practices is one step toward development of SCI model.  Combination of ANP and BN as tools leads to quantifying mutual correlations between customer values and practices, also it provides platform to monitor variety of scenarios.
  • 44. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 44 of 45 Conclusions Quantifying mutual correlations between customer values and SCM practices assist decision makers to:  Provides an illustrative presentation of the current state of the chain  Align internal activities in their firms with expectations of the end customers  Truly understand which value is more preferred by the end customers  Predict the market influence of their practices
  • 45. UNIDEMI – R&D Unit in Mechanical & Industrial Engineering Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial UNIVERSIDADE NOVA DE LISBOA 45 of 45 Acknowledgments • DEMI o Prof. V. Cruz Machado o Teachers o Staffs o Students and friends • Case companies o Eric Hargraves, Upward Limited Inc., USA o John Chase, Sopplan, New Zealand • Software o GeNIe 2.0: Decision Systems Laboratory, University of Pittsburgh o Super Decisions 2.2.6: Creative Decisions Foundation, Pittsburgh