SlideShare a Scribd company logo
1 of 18
B Keto 212085662
OMP presentation
Klikklok waste
December 2014
2
Table of content
• Introduction
• Background to problem statement
• Problem statement
− Project objectives
• Six sigma Methodology DMAIC
− Define
− Measure
− Analyse
− Improve
− Control
• Conclusion & Recommendation
3
Introduction
• It is said the manufacturing industry favours manufactures that are able to apply the
concept of lean manufacturing
− Lean manufacturing entails producing what the customer wants
− In the quantity the customer requires the product in
− And when the customer requires it
− Minimal resources
• Heinz foods is a world renown food manufacture that manufactures frozen and pre-
baked pies
− Strive to be lean in our manufacturing process
− All products that are sent to the customer are packed in an inner & outer carton
4
Background to problem statement
• The company on an hourly basis can either
be producing goods or not producing
goods
• Illustrated in the graph on the right is data
collected over a period of six months
distinguishing the time between production
and no production.
85.89%
14.11%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
100.00%
production No production
Productive time vs Non-
Productive
5
• Other
− no hot filling, power failures and no raw materials
• York
− Situations related to refrigeration such as
refrigeration repair, soft products and product pile
ups inside the York
• Change over
− Chance-over refers to the time lost when switching
from one product to another
• No pastry
− breakdowns occurring on the laminator or
ingredients are not available to produce the pastry
• Cleaning
− production is stopped at the end of the shift prior
completion of the shift
• Klikklok
− breakage on the klikklok and pile-ups that occur on
the klikklok
5%
21%
19%
5%
21%
29%
No production
Klikklok cleaning no pastry
change over York other
Background to problem statement
6
• The lower the production volume is the
higher the task conformity
• The average conformance for this period
equates to 94%.
84%
86%
88%
90%
92%
94%
96%
98%
100%
-
10,000
20,000
30,000
40,000
50,000
60,000
Klikklok conformance
Total Issued Total good litho's used Conformity %
Background to problem statement
17.67%
33.98%
46.40%
58.17%
69.37%
79.72%
88.00%
95.08%
100.00%
0.10%
100.00%
0
500
1000
1500
2000
2500
3000
3500
4000
Total Klikklok waste
• week 31 has the highest litho’s waste,
<18% of the total waste
• The target is to achieve < 1940 litho’s per
week
• Majority of the data are above the target
7
Week 28 production figures
Date Target (tons) Actual (tons) Percentage
07-Jul Mon 9.907 5.576 56.3%
08-Jul Tue 9.907 5.084 51.3%
09-Jul Wed 8.042 6.980 86.8%
10-Jul Thu 7.138 8.667 121.4%
11-Jul Fri - 2.808
Total 34.994 29.115 83.2%
Background to problem statement
• Klikklok begins to act as a bottleneck
– Team leaders try to apply TOC
– Decreasing capacity, increasing buffer
– More white buckets, more trolleys
– Products can not stay outside refrigeration for
long period of time
– Trolleys are taken to the blast freezer
– Full blast freezer
8
A countermeasure team leaders have taken
in the past
• switch product packaging
– from making 12×6’s to making 1×24’s
Lean Manufacturing
Producing what the customer wants
Giving it to the customer in the quantity they
want it in
Background to problem statement
9
Problem statement & project objectives
PROBLEM STATEMENT
The waste produced by the Klikklok machine
is a key contributor to the company not
reaching its desired targets and not being
able to supply the customers with their
desired form of product.
OBJECTIVES
• Raise awareness about the amount of
waste being produced by the Klikklok
• Raise awareness about what transpires
when the klikklok produces waste
• Reduce waste by identifying the root
cause
• Promoting the use of six sigma
methodology for problem solving
• Promoting the use of preventative
maintenance calendar
10
Six Sigma methodology
A feasible way of understanding and dealing
with this problem is to make use of a six
sigma methodology most commonly known
as DMAIC, which is an acronym for Define,
Measure, Analyze, improve and control
ALTENATIVE METHODOLOGY
• Select
• Record
• Examine
• Develop
• Install
• Maintain
11
• Company clients are retails stores
such as Spar and Pick n’ Pay which
distribute Heinz’s products to the
public.
• CTQ characteristic
– Number of units inside
– Condition of the inner packaging box
– Properly sealed box
– Properly dated
Define Measure Analyze Improve Control
Flow process chart
Saving
-R
14 4.67 *
5 0.22 *
4 0.24 *
0.26 *
0.22 *
0.25 *
0.24 *
0.25 *
0.26 *
0.22 *
0.24 *
0.24 *
0.26 *
0.24 *
0.05 0.22 *
0.26 *
1.5 0.22 *
45 *
2 0.21 *
1.5 0.28 *
0.23 *
0.22 *
0.25 *
0.27 *
10.05 54.97 16 5 0 2 1Total
pass though Printer belt
pass though X-ray Machine
pack in outer packaging by hand
slant-band conveyor
transfer conveyor
insert products into inner packaging by TRACCKlikklok
spray egg on each unit
K.V.PTransfer conveyor
products go into York 1 (fridge)
press top pastry onto bottom
remove unused top pastry by conveyor
eject on to different conveyor
inspection
Insert top pastry dough on conveyor by hand
add top pastry
54.97
Cost
Labour
Material
Insert filling into bulk filling pump by hand
Deposit filling onto flattend dough in foil
Spray water on each unit
Insert bottomPastry in dough extruder
Dough Extrusion by hand
flatten dough on foil
0
Inspection 2
Location: Atlantis Factory 1 & 2
dispense foil on to machine
Total -R -R
Description Qty.
Distance
(m) Time (min)
Symbol
Remarks
Roll dough up into strips by hand & conveyor
Take strips to the Mama's line by hand
Operative(s): Time (work- min)
Storage 1
Charted by: B. Keto date: 15/07/2014
Approved by: date:
Subject charted: B. Keto Activity Present Proposed
Operation 16
Distance (m) 10.05
Activity:
Making steak and kidney pie on the Mama's Line
Method: Present / Proposed
Transport 5
Delay
12
– Z score of 3 was used
– This means that 99.73% of the data should
be within the control limits in order to classify
the process as in control
– Process has 5 points above the UCL
– 5 points below the LCL
– Process is not capable of conforming to
desired specification limits
– 𝐃𝐏𝐌𝐎 =
𝟏 𝟐𝟒𝟕×𝟏 𝟎𝟎𝟎 𝟎𝟎𝟎
𝟔 𝟖𝟔𝟖
= 𝟏𝟖𝟏 𝟓𝟔𝟕
– Sigma level: 2.41
0.03
0.08
0.13
0.18
0.23
0.28
0.33
0.38
0.43
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Fractiondefective
P Chart - 10 Jul 2014
Week 28
UCL
P bar
LCL
Sample
size
Defects
Fraction
defective
404 22 0.05
404 95 0.24
404 124 0.31
404 49 0.12
404 31 0.08
404 32 0.08
404 36 0.09
404 71 0.18
404 97 0.24
404 149 0.37
404 112 0.28
404 83 0.21
404 102 0.25
404 81 0.2
404 54 0.13
404 105 0.26
404 4 0.01
-4 -2 0 2 4
USL
LSL
13
• When the machine produces a single
defective box not much information about
the problem can be abstracted from just
that singular box
• However when the machine produces
several defective boxes all sharing similar
characteristics, this provides the perfect
environment for problem solving
The flip on the right hand side, on
the side of the bar code (Bar code is
underneath the box) is not in place.
The box comes out of the klikklok
perfectly sealed but with little or no
units inside.
The flip on the rear end side (right
hand side) of the Litos is glued out of
place also causing a small tear in the
near side of the box.
This Litos is not sealed on either
side and the rear side is wrinkled
and one of the corners is torn.
This Litos jammed whist still inside
the machine hence causing the
machine to stop or risk damaging the
other Litos after it. It is wrinkled on
the side with the bar code and not
sealed on either side
14
• The cause and effect diagram categorizes variables that may cause variation in the
process leading to an out of control process in four categories namely Man, method,
machine & material.
Define Measure Analyze Improve Control
15
• Suspicions that the main source of the
problem was due to worn out loader
arms.
• The company purchased the new
equipment
• The repairs were done in week 39
• A great drop in the total waste can be
seen
• Average conformance increased to 98%
Define Measure Analyze Improve Control
0
500
1000
1500
2000
2500
3000
3500
4000
Total Klikklok waste
84%
86%
88%
90%
92%
94%
96%
98%
100%
-
10,000
20,000
30,000
40,000
50,000
60,000
Klikklok task conformance
Total Issued Total good litho's used Conformity %
Week 43 Production Figures
Date Target (tons) Actual (tons) Percentage
20-Oct Mon 9.907 11.347 114.5%
21-Oct Tue 9.907 11.578 116.9%
22-Oct Wed 9.907 10.621 107.2%
23-Oct Thu 9.907 9.089 91.7%
24-Oct Fri - 10.932
Total 39.628 53.567 135.2%
16
• As a means of controlling this process the
P chart can be used again
• This P chart was constructed after the
specialist had come to Heinz to replace
the loader arms on the Klikklok
• The process in technical viewing may still
be seen as being out of control
• however when it is compared to the first
one, a great improvement can be seen.
• 2 points fall outside the desired
specification limits
• 𝐃𝐏𝐌𝐎 =
𝟏𝟖𝟏×𝟏 𝟎𝟎𝟎 𝟎𝟎𝟎
𝟏𝟐 𝟎𝟔𝟎
= 𝟏𝟓 𝟎𝟎𝟖
• Sigma level = 3.67
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Fractiondefective
P Chart - 21 Oct 2014
Week 43 UCL
P bar
LCL
Sample
size
Defects
Fraction
defective
670 4.00 0.006
670 2.00 0.003
670 1.00 0.001
670 2.00 0.003
670 20.00 0.030
670 10.00 0.015
670 24.00 0.036
670 13.00 0.019
670 12.00 0.018
670 8.00 0.012
670 19.00 0.028
670 6.00 0.009
670 3.00 0.004
670 4.00 0.006
670 7.00 0.010
670 18.00 0.027
670 21.00 0.031
670 7.00 0.010
-4 -2 0 2 4
UCL
LCL
µ
17
• Make use of the PM calendar to maintain
the new loader arms
• The main aim of the PM calendar is to
schedule checks that aught to be done
on the machine
• It breaks down the machine in to
individual opponents
• Each component will have a listed set of
tasks that must be done on the e.g.
replace or lubricate
• Each task will also have a frequency
column, which displays how frequent the
task should be done.
Define Measure Analyze Improve Control
18
Conclusion & Recommendation
Conclusion
• There has been a great improvement in the
waste produced by the Klikklok
• The production figures of have increased
• However there are still points that fall
outside the desired control limits
• This is an indication that the problems
solved up until now are not the only
problems
• And that there is still room for improvement
Recommendation
• Looking at the DMAIC process it is most
beneficial to the organization to go back to
the measure phase
• Study why we have points out of control
after replacing the loader arms
• The use of preventative maintenance in the
form of daily check sheets for individual
parts
• The use of the preventative maintenance
calendar

More Related Content

What's hot

Implementing Kanban Pull Systems in Office & Service Environments
Implementing Kanban Pull Systems in Office & Service EnvironmentsImplementing Kanban Pull Systems in Office & Service Environments
Implementing Kanban Pull Systems in Office & Service EnvironmentsTKMG, Inc.
 
Presentation cadbury's -_copy
Presentation cadbury's -_copyPresentation cadbury's -_copy
Presentation cadbury's -_copySahil Garg
 
Quality Control Progress 2014
Quality Control Progress 2014Quality Control Progress 2014
Quality Control Progress 2014Ahmed Gado
 
Lean Kanban Systems Training Module
Lean Kanban Systems Training ModuleLean Kanban Systems Training Module
Lean Kanban Systems Training ModuleFrank-G. Adler
 
Designing the Enterprise for Manufacturing
Designing the Enterprise for ManufacturingDesigning the Enterprise for Manufacturing
Designing the Enterprise for Manufacturingsc0ttruss
 
How A Single Black Belt Project Jump Starts a Successful Lean Six Sigma Effort
How A Single Black Belt Project Jump Starts a Successful Lean Six Sigma EffortHow A Single Black Belt Project Jump Starts a Successful Lean Six Sigma Effort
How A Single Black Belt Project Jump Starts a Successful Lean Six Sigma EffortGoLeanSixSigma.com
 
Reduction of each transaction cycle time
Reduction of each transaction cycle timeReduction of each transaction cycle time
Reduction of each transaction cycle timeYoke-Yin Purcaro
 
Lean Supply Chain Management--by JULIAN KALAC
Lean Supply Chain Management--by JULIAN KALACLean Supply Chain Management--by JULIAN KALAC
Lean Supply Chain Management--by JULIAN KALACJulian Kalac P.Eng
 
JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS
JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS
JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS Julian Kalac P.Eng
 
[Partial Preview:] Waste-finding Checklists for Manufacturing Companies
[Partial Preview:] Waste-finding Checklists for Manufacturing Companies[Partial Preview:] Waste-finding Checklists for Manufacturing Companies
[Partial Preview:] Waste-finding Checklists for Manufacturing CompaniesOperational Excellence Consulting
 
GB-DMAIC One-Pager Summary
GB-DMAIC One-Pager  SummaryGB-DMAIC One-Pager  Summary
GB-DMAIC One-Pager SummaryMo'ath Thwapiah
 
IE-009 Just In Time Systems
IE-009 Just In Time SystemsIE-009 Just In Time Systems
IE-009 Just In Time Systemshandbook
 
CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2
CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2
CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2David Hazell
 
Schneider Case Study Challenge
Schneider Case Study ChallengeSchneider Case Study Challenge
Schneider Case Study ChallengeNikhil Kejriwal
 
Rapid Site Assessment June 27 2010
Rapid Site Assessment June 27 2010Rapid Site Assessment June 27 2010
Rapid Site Assessment June 27 2010exerciselean
 
Cellular manufacturing
Cellular manufacturingCellular manufacturing
Cellular manufacturingJitesh Gaurav
 

What's hot (20)

Implementing Kanban Pull Systems in Office & Service Environments
Implementing Kanban Pull Systems in Office & Service EnvironmentsImplementing Kanban Pull Systems in Office & Service Environments
Implementing Kanban Pull Systems in Office & Service Environments
 
Presentation cadbury's -_copy
Presentation cadbury's -_copyPresentation cadbury's -_copy
Presentation cadbury's -_copy
 
Quality Control Progress 2014
Quality Control Progress 2014Quality Control Progress 2014
Quality Control Progress 2014
 
Lean Kanban Systems Training Module
Lean Kanban Systems Training ModuleLean Kanban Systems Training Module
Lean Kanban Systems Training Module
 
Designing the Enterprise for Manufacturing
Designing the Enterprise for ManufacturingDesigning the Enterprise for Manufacturing
Designing the Enterprise for Manufacturing
 
How A Single Black Belt Project Jump Starts a Successful Lean Six Sigma Effort
How A Single Black Belt Project Jump Starts a Successful Lean Six Sigma EffortHow A Single Black Belt Project Jump Starts a Successful Lean Six Sigma Effort
How A Single Black Belt Project Jump Starts a Successful Lean Six Sigma Effort
 
Reduction of each transaction cycle time
Reduction of each transaction cycle timeReduction of each transaction cycle time
Reduction of each transaction cycle time
 
Lean Supply Chain Management--by JULIAN KALAC
Lean Supply Chain Management--by JULIAN KALACLean Supply Chain Management--by JULIAN KALAC
Lean Supply Chain Management--by JULIAN KALAC
 
JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS
JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS
JULIAN KALAC -EXAMPLES OF LEAN SIX SIGMA BLACK BELT PROJECTS
 
Kanban Pull System
Kanban Pull SystemKanban Pull System
Kanban Pull System
 
[Partial Preview:] Waste-finding Checklists for Manufacturing Companies
[Partial Preview:] Waste-finding Checklists for Manufacturing Companies[Partial Preview:] Waste-finding Checklists for Manufacturing Companies
[Partial Preview:] Waste-finding Checklists for Manufacturing Companies
 
Sip project
Sip projectSip project
Sip project
 
GB-DMAIC One-Pager Summary
GB-DMAIC One-Pager  SummaryGB-DMAIC One-Pager  Summary
GB-DMAIC One-Pager Summary
 
IE-009 Just In Time Systems
IE-009 Just In Time SystemsIE-009 Just In Time Systems
IE-009 Just In Time Systems
 
CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2
CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2
CaseStudy-DigitalChecklistsinManufacturing-April-2016-v2
 
Schneider Case Study Challenge
Schneider Case Study ChallengeSchneider Case Study Challenge
Schneider Case Study Challenge
 
Sqcm
SqcmSqcm
Sqcm
 
Rapid Site Assessment June 27 2010
Rapid Site Assessment June 27 2010Rapid Site Assessment June 27 2010
Rapid Site Assessment June 27 2010
 
Statistical quality control
Statistical  quality  controlStatistical  quality  control
Statistical quality control
 
Cellular manufacturing
Cellular manufacturingCellular manufacturing
Cellular manufacturing
 

Viewers also liked

Pakuranga Library Trip
Pakuranga Library TripPakuranga Library Trip
Pakuranga Library Tripsusieallen14
 
Fp fm reporte aplicacion aamtic_g89_act.4-angelap.muñoz
Fp fm reporte aplicacion aamtic_g89_act.4-angelap.muñozFp fm reporte aplicacion aamtic_g89_act.4-angelap.muñoz
Fp fm reporte aplicacion aamtic_g89_act.4-angelap.muñozAngelaPatyMunoz
 
LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...
LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...
LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...Pascal Olinga
 
Individualni konsalting za menadžere
Individualni konsalting za menadžereIndividualni konsalting za menadžere
Individualni konsalting za menadžereNeda Mirkovic
 
Endevinalla Paraigües
Endevinalla ParaigüesEndevinalla Paraigües
Endevinalla ParaigüesAniaLaRed
 
cv 2014 bonne version sans lettre de motiv-1-1
cv 2014 bonne version sans lettre de motiv-1-1cv 2014 bonne version sans lettre de motiv-1-1
cv 2014 bonne version sans lettre de motiv-1-1Fatou diop
 
Vivamos la universidad presentacion power point
Vivamos la universidad presentacion power pointVivamos la universidad presentacion power point
Vivamos la universidad presentacion power pointvictora1agudelo
 
Shooting Percentage
Shooting PercentageShooting Percentage
Shooting Percentagedylankissack
 
L’Industria Alimentare Italiana e il valore delle certificazioni religiose
L’Industria Alimentare Italianae il valore delle certificazioni religioseL’Industria Alimentare Italianae il valore delle certificazioni religiose
L’Industria Alimentare Italiana e il valore delle certificazioni religioseLink 2007 - Cooperazione in rete
 
It takes a person to personalize learning
It takes a person to personalize learningIt takes a person to personalize learning
It takes a person to personalize learningMrs-Ramsey
 
NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...
NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...
NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...Arjun Rai
 
Sin título 1
Sin título 1Sin título 1
Sin título 1MARYALDAS
 
Welcome To Source A Tech
Welcome To Source A TechWelcome To Source A Tech
Welcome To Source A TechAdair Grover
 

Viewers also liked (20)

Pakuranga Library Trip
Pakuranga Library TripPakuranga Library Trip
Pakuranga Library Trip
 
Fp fm reporte aplicacion aamtic_g89_act.4-angelap.muñoz
Fp fm reporte aplicacion aamtic_g89_act.4-angelap.muñozFp fm reporte aplicacion aamtic_g89_act.4-angelap.muñoz
Fp fm reporte aplicacion aamtic_g89_act.4-angelap.muñoz
 
LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...
LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...
LIFESTYLES AND NCDS IN UGANDA - ROLE OF SCHOOL HEALTH EDUCATION PROGRAMMES IN...
 
Individualni konsalting za menadžere
Individualni konsalting za menadžereIndividualni konsalting za menadžere
Individualni konsalting za menadžere
 
Endevinalla Paraigües
Endevinalla ParaigüesEndevinalla Paraigües
Endevinalla Paraigües
 
cv 2014 bonne version sans lettre de motiv-1-1
cv 2014 bonne version sans lettre de motiv-1-1cv 2014 bonne version sans lettre de motiv-1-1
cv 2014 bonne version sans lettre de motiv-1-1
 
Vivamos la universidad presentacion power point
Vivamos la universidad presentacion power pointVivamos la universidad presentacion power point
Vivamos la universidad presentacion power point
 
A New Culture of Learning
A New Culture of LearningA New Culture of Learning
A New Culture of Learning
 
DAFTAR RIWAYAT HIDUP
DAFTAR RIWAYAT HIDUPDAFTAR RIWAYAT HIDUP
DAFTAR RIWAYAT HIDUP
 
Shooting Percentage
Shooting PercentageShooting Percentage
Shooting Percentage
 
The Halal Economy Landscape
The Halal Economy LandscapeThe Halal Economy Landscape
The Halal Economy Landscape
 
L’Industria Alimentare Italiana e il valore delle certificazioni religiose
L’Industria Alimentare Italianae il valore delle certificazioni religioseL’Industria Alimentare Italianae il valore delle certificazioni religiose
L’Industria Alimentare Italiana e il valore delle certificazioni religiose
 
It takes a person to personalize learning
It takes a person to personalize learningIt takes a person to personalize learning
It takes a person to personalize learning
 
Горнолыжная западная Европа
Горнолыжная западная ЕвропаГорнолыжная западная Европа
Горнолыжная западная Европа
 
NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...
NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...
NY EXPO / Smart Hustle Magazine Conference Presentation by Arjun Rai, Founder...
 
Sin título 1
Sin título 1Sin título 1
Sin título 1
 
Jacqueline rojas
Jacqueline rojasJacqueline rojas
Jacqueline rojas
 
Teste vocacional
Teste vocacionalTeste vocacional
Teste vocacional
 
Welcome To Source A Tech
Welcome To Source A TechWelcome To Source A Tech
Welcome To Source A Tech
 
Ingles
InglesIngles
Ingles
 

Similar to OMP presentation

'How To Apply Lean Test Management' by Bob van de Burgt
'How To Apply Lean Test Management' by Bob van de Burgt'How To Apply Lean Test Management' by Bob van de Burgt
'How To Apply Lean Test Management' by Bob van de BurgtTEST Huddle
 
Darren foster asb presentation 2017
Darren foster asb presentation 2017Darren foster asb presentation 2017
Darren foster asb presentation 2017Peter Meredith
 
A TP3 Approach to Manage Manufacturing Competitiveness After the Pandemic
A TP3 Approach to Manage Manufacturing Competitiveness After the PandemicA TP3 Approach to Manage Manufacturing Competitiveness After the Pandemic
A TP3 Approach to Manage Manufacturing Competitiveness After the PandemicKaiNexus
 
Supply chain design and operation
Supply chain design and operationSupply chain design and operation
Supply chain design and operationAngelainBay
 
6 sigma overview (tai lieu trinh chieu tham khao)
6 sigma overview (tai lieu trinh chieu tham khao)6 sigma overview (tai lieu trinh chieu tham khao)
6 sigma overview (tai lieu trinh chieu tham khao)nguyenanvuong2007
 
VRI project presentation Spool Throughput 2013
VRI project presentation Spool Throughput 2013VRI project presentation Spool Throughput 2013
VRI project presentation Spool Throughput 2013D9 Process Improvement
 
How to Reduce Changeover Time and Increase Throughput
How to Reduce Changeover Time and Increase ThroughputHow to Reduce Changeover Time and Increase Throughput
How to Reduce Changeover Time and Increase ThroughputOH!Manufacturing
 
What+Is+Six+Sigma
What+Is+Six+SigmaWhat+Is+Six+Sigma
What+Is+Six+SigmaTyg Lucas
 
Six sigma case study-a good approach with example
Six sigma case study-a good approach with exampleSix sigma case study-a good approach with example
Six sigma case study-a good approach with examplebhanutomar
 
SAP for SCM OTIF Improvement Project-External
SAP for SCM OTIF Improvement Project-ExternalSAP for SCM OTIF Improvement Project-External
SAP for SCM OTIF Improvement Project-ExternalAndrew Si
 
Part 3 - Mfg excellence thr TPS (1).pdf
Part 3 - Mfg excellence thr TPS  (1).pdfPart 3 - Mfg excellence thr TPS  (1).pdf
Part 3 - Mfg excellence thr TPS (1).pdfPrabagaraneRamachand1
 
Part 3 - Mfg excellence thr TPS (1).pdf
Part 3 - Mfg excellence thr TPS  (1).pdfPart 3 - Mfg excellence thr TPS  (1).pdf
Part 3 - Mfg excellence thr TPS (1).pdfPrabagaraneRamachand1
 

Similar to OMP presentation (20)

Every Product Every Cycle in Production
Every Product Every Cycle in ProductionEvery Product Every Cycle in Production
Every Product Every Cycle in Production
 
'How To Apply Lean Test Management' by Bob van de Burgt
'How To Apply Lean Test Management' by Bob van de Burgt'How To Apply Lean Test Management' by Bob van de Burgt
'How To Apply Lean Test Management' by Bob van de Burgt
 
Darren foster asb presentation 2017
Darren foster asb presentation 2017Darren foster asb presentation 2017
Darren foster asb presentation 2017
 
WO presentation
WO presentationWO presentation
WO presentation
 
A TP3 Approach to Manage Manufacturing Competitiveness After the Pandemic
A TP3 Approach to Manage Manufacturing Competitiveness After the PandemicA TP3 Approach to Manage Manufacturing Competitiveness After the Pandemic
A TP3 Approach to Manage Manufacturing Competitiveness After the Pandemic
 
Supply chain design and operation
Supply chain design and operationSupply chain design and operation
Supply chain design and operation
 
6 sigma overview (tai lieu trinh chieu tham khao)
6 sigma overview (tai lieu trinh chieu tham khao)6 sigma overview (tai lieu trinh chieu tham khao)
6 sigma overview (tai lieu trinh chieu tham khao)
 
VRI project presentation Spool Throughput 2013
VRI project presentation Spool Throughput 2013VRI project presentation Spool Throughput 2013
VRI project presentation Spool Throughput 2013
 
Six Sigma
Six SigmaSix Sigma
Six Sigma
 
How to Reduce Changeover Time and Increase Throughput
How to Reduce Changeover Time and Increase ThroughputHow to Reduce Changeover Time and Increase Throughput
How to Reduce Changeover Time and Increase Throughput
 
What+Is+Six+Sigma
What+Is+Six+SigmaWhat+Is+Six+Sigma
What+Is+Six+Sigma
 
Six sigma case study-a good approach with example
Six sigma case study-a good approach with exampleSix sigma case study-a good approach with example
Six sigma case study-a good approach with example
 
SAP for SCM OTIF Improvement Project-External
SAP for SCM OTIF Improvement Project-ExternalSAP for SCM OTIF Improvement Project-External
SAP for SCM OTIF Improvement Project-External
 
Lean vs six sigma -jk
Lean vs six sigma  -jkLean vs six sigma  -jk
Lean vs six sigma -jk
 
Six sigma technique
Six sigma techniqueSix sigma technique
Six sigma technique
 
Kaizen
KaizenKaizen
Kaizen
 
Pilot Plant.pptx
Pilot Plant.pptxPilot Plant.pptx
Pilot Plant.pptx
 
Part 3 - Mfg excellence thr TPS (1).pdf
Part 3 - Mfg excellence thr TPS  (1).pdfPart 3 - Mfg excellence thr TPS  (1).pdf
Part 3 - Mfg excellence thr TPS (1).pdf
 
Part 3 - Mfg excellence thr TPS (1).pdf
Part 3 - Mfg excellence thr TPS  (1).pdfPart 3 - Mfg excellence thr TPS  (1).pdf
Part 3 - Mfg excellence thr TPS (1).pdf
 
Lss overview
Lss   overviewLss   overview
Lss overview
 

OMP presentation

  • 1. B Keto 212085662 OMP presentation Klikklok waste December 2014
  • 2. 2 Table of content • Introduction • Background to problem statement • Problem statement − Project objectives • Six sigma Methodology DMAIC − Define − Measure − Analyse − Improve − Control • Conclusion & Recommendation
  • 3. 3 Introduction • It is said the manufacturing industry favours manufactures that are able to apply the concept of lean manufacturing − Lean manufacturing entails producing what the customer wants − In the quantity the customer requires the product in − And when the customer requires it − Minimal resources • Heinz foods is a world renown food manufacture that manufactures frozen and pre- baked pies − Strive to be lean in our manufacturing process − All products that are sent to the customer are packed in an inner & outer carton
  • 4. 4 Background to problem statement • The company on an hourly basis can either be producing goods or not producing goods • Illustrated in the graph on the right is data collected over a period of six months distinguishing the time between production and no production. 85.89% 14.11% 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00% 100.00% production No production Productive time vs Non- Productive
  • 5. 5 • Other − no hot filling, power failures and no raw materials • York − Situations related to refrigeration such as refrigeration repair, soft products and product pile ups inside the York • Change over − Chance-over refers to the time lost when switching from one product to another • No pastry − breakdowns occurring on the laminator or ingredients are not available to produce the pastry • Cleaning − production is stopped at the end of the shift prior completion of the shift • Klikklok − breakage on the klikklok and pile-ups that occur on the klikklok 5% 21% 19% 5% 21% 29% No production Klikklok cleaning no pastry change over York other Background to problem statement
  • 6. 6 • The lower the production volume is the higher the task conformity • The average conformance for this period equates to 94%. 84% 86% 88% 90% 92% 94% 96% 98% 100% - 10,000 20,000 30,000 40,000 50,000 60,000 Klikklok conformance Total Issued Total good litho's used Conformity % Background to problem statement 17.67% 33.98% 46.40% 58.17% 69.37% 79.72% 88.00% 95.08% 100.00% 0.10% 100.00% 0 500 1000 1500 2000 2500 3000 3500 4000 Total Klikklok waste • week 31 has the highest litho’s waste, <18% of the total waste • The target is to achieve < 1940 litho’s per week • Majority of the data are above the target
  • 7. 7 Week 28 production figures Date Target (tons) Actual (tons) Percentage 07-Jul Mon 9.907 5.576 56.3% 08-Jul Tue 9.907 5.084 51.3% 09-Jul Wed 8.042 6.980 86.8% 10-Jul Thu 7.138 8.667 121.4% 11-Jul Fri - 2.808 Total 34.994 29.115 83.2% Background to problem statement • Klikklok begins to act as a bottleneck – Team leaders try to apply TOC – Decreasing capacity, increasing buffer – More white buckets, more trolleys – Products can not stay outside refrigeration for long period of time – Trolleys are taken to the blast freezer – Full blast freezer
  • 8. 8 A countermeasure team leaders have taken in the past • switch product packaging – from making 12×6’s to making 1×24’s Lean Manufacturing Producing what the customer wants Giving it to the customer in the quantity they want it in Background to problem statement
  • 9. 9 Problem statement & project objectives PROBLEM STATEMENT The waste produced by the Klikklok machine is a key contributor to the company not reaching its desired targets and not being able to supply the customers with their desired form of product. OBJECTIVES • Raise awareness about the amount of waste being produced by the Klikklok • Raise awareness about what transpires when the klikklok produces waste • Reduce waste by identifying the root cause • Promoting the use of six sigma methodology for problem solving • Promoting the use of preventative maintenance calendar
  • 10. 10 Six Sigma methodology A feasible way of understanding and dealing with this problem is to make use of a six sigma methodology most commonly known as DMAIC, which is an acronym for Define, Measure, Analyze, improve and control ALTENATIVE METHODOLOGY • Select • Record • Examine • Develop • Install • Maintain
  • 11. 11 • Company clients are retails stores such as Spar and Pick n’ Pay which distribute Heinz’s products to the public. • CTQ characteristic – Number of units inside – Condition of the inner packaging box – Properly sealed box – Properly dated Define Measure Analyze Improve Control Flow process chart Saving -R 14 4.67 * 5 0.22 * 4 0.24 * 0.26 * 0.22 * 0.25 * 0.24 * 0.25 * 0.26 * 0.22 * 0.24 * 0.24 * 0.26 * 0.24 * 0.05 0.22 * 0.26 * 1.5 0.22 * 45 * 2 0.21 * 1.5 0.28 * 0.23 * 0.22 * 0.25 * 0.27 * 10.05 54.97 16 5 0 2 1Total pass though Printer belt pass though X-ray Machine pack in outer packaging by hand slant-band conveyor transfer conveyor insert products into inner packaging by TRACCKlikklok spray egg on each unit K.V.PTransfer conveyor products go into York 1 (fridge) press top pastry onto bottom remove unused top pastry by conveyor eject on to different conveyor inspection Insert top pastry dough on conveyor by hand add top pastry 54.97 Cost Labour Material Insert filling into bulk filling pump by hand Deposit filling onto flattend dough in foil Spray water on each unit Insert bottomPastry in dough extruder Dough Extrusion by hand flatten dough on foil 0 Inspection 2 Location: Atlantis Factory 1 & 2 dispense foil on to machine Total -R -R Description Qty. Distance (m) Time (min) Symbol Remarks Roll dough up into strips by hand & conveyor Take strips to the Mama's line by hand Operative(s): Time (work- min) Storage 1 Charted by: B. Keto date: 15/07/2014 Approved by: date: Subject charted: B. Keto Activity Present Proposed Operation 16 Distance (m) 10.05 Activity: Making steak and kidney pie on the Mama's Line Method: Present / Proposed Transport 5 Delay
  • 12. 12 – Z score of 3 was used – This means that 99.73% of the data should be within the control limits in order to classify the process as in control – Process has 5 points above the UCL – 5 points below the LCL – Process is not capable of conforming to desired specification limits – 𝐃𝐏𝐌𝐎 = 𝟏 𝟐𝟒𝟕×𝟏 𝟎𝟎𝟎 𝟎𝟎𝟎 𝟔 𝟖𝟔𝟖 = 𝟏𝟖𝟏 𝟓𝟔𝟕 – Sigma level: 2.41 0.03 0.08 0.13 0.18 0.23 0.28 0.33 0.38 0.43 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Fractiondefective P Chart - 10 Jul 2014 Week 28 UCL P bar LCL Sample size Defects Fraction defective 404 22 0.05 404 95 0.24 404 124 0.31 404 49 0.12 404 31 0.08 404 32 0.08 404 36 0.09 404 71 0.18 404 97 0.24 404 149 0.37 404 112 0.28 404 83 0.21 404 102 0.25 404 81 0.2 404 54 0.13 404 105 0.26 404 4 0.01 -4 -2 0 2 4 USL LSL
  • 13. 13 • When the machine produces a single defective box not much information about the problem can be abstracted from just that singular box • However when the machine produces several defective boxes all sharing similar characteristics, this provides the perfect environment for problem solving The flip on the right hand side, on the side of the bar code (Bar code is underneath the box) is not in place. The box comes out of the klikklok perfectly sealed but with little or no units inside. The flip on the rear end side (right hand side) of the Litos is glued out of place also causing a small tear in the near side of the box. This Litos is not sealed on either side and the rear side is wrinkled and one of the corners is torn. This Litos jammed whist still inside the machine hence causing the machine to stop or risk damaging the other Litos after it. It is wrinkled on the side with the bar code and not sealed on either side
  • 14. 14 • The cause and effect diagram categorizes variables that may cause variation in the process leading to an out of control process in four categories namely Man, method, machine & material. Define Measure Analyze Improve Control
  • 15. 15 • Suspicions that the main source of the problem was due to worn out loader arms. • The company purchased the new equipment • The repairs were done in week 39 • A great drop in the total waste can be seen • Average conformance increased to 98% Define Measure Analyze Improve Control 0 500 1000 1500 2000 2500 3000 3500 4000 Total Klikklok waste 84% 86% 88% 90% 92% 94% 96% 98% 100% - 10,000 20,000 30,000 40,000 50,000 60,000 Klikklok task conformance Total Issued Total good litho's used Conformity % Week 43 Production Figures Date Target (tons) Actual (tons) Percentage 20-Oct Mon 9.907 11.347 114.5% 21-Oct Tue 9.907 11.578 116.9% 22-Oct Wed 9.907 10.621 107.2% 23-Oct Thu 9.907 9.089 91.7% 24-Oct Fri - 10.932 Total 39.628 53.567 135.2%
  • 16. 16 • As a means of controlling this process the P chart can be used again • This P chart was constructed after the specialist had come to Heinz to replace the loader arms on the Klikklok • The process in technical viewing may still be seen as being out of control • however when it is compared to the first one, a great improvement can be seen. • 2 points fall outside the desired specification limits • 𝐃𝐏𝐌𝐎 = 𝟏𝟖𝟏×𝟏 𝟎𝟎𝟎 𝟎𝟎𝟎 𝟏𝟐 𝟎𝟔𝟎 = 𝟏𝟓 𝟎𝟎𝟖 • Sigma level = 3.67 0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Fractiondefective P Chart - 21 Oct 2014 Week 43 UCL P bar LCL Sample size Defects Fraction defective 670 4.00 0.006 670 2.00 0.003 670 1.00 0.001 670 2.00 0.003 670 20.00 0.030 670 10.00 0.015 670 24.00 0.036 670 13.00 0.019 670 12.00 0.018 670 8.00 0.012 670 19.00 0.028 670 6.00 0.009 670 3.00 0.004 670 4.00 0.006 670 7.00 0.010 670 18.00 0.027 670 21.00 0.031 670 7.00 0.010 -4 -2 0 2 4 UCL LCL µ
  • 17. 17 • Make use of the PM calendar to maintain the new loader arms • The main aim of the PM calendar is to schedule checks that aught to be done on the machine • It breaks down the machine in to individual opponents • Each component will have a listed set of tasks that must be done on the e.g. replace or lubricate • Each task will also have a frequency column, which displays how frequent the task should be done. Define Measure Analyze Improve Control
  • 18. 18 Conclusion & Recommendation Conclusion • There has been a great improvement in the waste produced by the Klikklok • The production figures of have increased • However there are still points that fall outside the desired control limits • This is an indication that the problems solved up until now are not the only problems • And that there is still room for improvement Recommendation • Looking at the DMAIC process it is most beneficial to the organization to go back to the measure phase • Study why we have points out of control after replacing the loader arms • The use of preventative maintenance in the form of daily check sheets for individual parts • The use of the preventative maintenance calendar