This document contains a 27 question operations management exam with multiple choice answers. The questions cover topics like types of rules and regulations that can hinder global expansion, calculating upper control limits on X-charts, advantages and disadvantages of MRP systems, key components of transportation decisions, and functions of maintenance management, among other operations management topics. The exam is asking students to demonstrate their understanding of core concepts in the subject.
Çok Kriterli Karar Verme Yöntemleri İle Katı Atık Bertaraf Teknolojisi SeçimiSuat Furkan ISIK
Hızlı nüfus artışı, yükselen yaşam standardı ve teknolojideki gelişmeler beraberinde katı atıkları da arttırmaktadır. Katı atıkların neden olduğu zararlı etkilerin minimum seviyeye indirilebilmesi için geliştirilen katı atık bertaraf etme teknolojileri arasından İstanbul için en uygun seçimi yapmak uygulamanın ana hedefini oluşturmaktadır. Bu uygulamada TOPSIS, PROMETHEE ve Bulanık TOPSIS metotları uygulanmış ve sonuçları karşılaştırılmıştır.
Makaleye ulaşmak için: http://bit.ly/2df6qcm
Çok Kriterli Karar Verme Yöntemi İle Rüzgar Santrali Alanı SeçimiSuat Furkan ISIK
Bu çalışmanın amacı; İran'ın güneybatısında bulunan Basra Körfezi'ndeki Bandar Deylam'da dört saha (alternatif) için açık deniz rüzgar çiftliğinin en iyi yer seçimini bulmaktır.
Bu çalışmada yer seçimi için Bulanık ANP, Bulanık DEMATEL ve Bulanık ELECTRE metotları bütünleşik bir biçimde uygulanmıştır.
This document contains a 27 question operations management exam with multiple choice answers. The questions cover topics like types of rules and regulations that can hinder global expansion, calculating upper control limits on X-charts, advantages and disadvantages of MRP systems, key components of transportation decisions, and functions of maintenance management, among other operations management topics. The exam is asking students to demonstrate their understanding of core concepts in the subject.
Çok Kriterli Karar Verme Yöntemleri İle Katı Atık Bertaraf Teknolojisi SeçimiSuat Furkan ISIK
Hızlı nüfus artışı, yükselen yaşam standardı ve teknolojideki gelişmeler beraberinde katı atıkları da arttırmaktadır. Katı atıkların neden olduğu zararlı etkilerin minimum seviyeye indirilebilmesi için geliştirilen katı atık bertaraf etme teknolojileri arasından İstanbul için en uygun seçimi yapmak uygulamanın ana hedefini oluşturmaktadır. Bu uygulamada TOPSIS, PROMETHEE ve Bulanık TOPSIS metotları uygulanmış ve sonuçları karşılaştırılmıştır.
Makaleye ulaşmak için: http://bit.ly/2df6qcm
Çok Kriterli Karar Verme Yöntemi İle Rüzgar Santrali Alanı SeçimiSuat Furkan ISIK
Bu çalışmanın amacı; İran'ın güneybatısında bulunan Basra Körfezi'ndeki Bandar Deylam'da dört saha (alternatif) için açık deniz rüzgar çiftliğinin en iyi yer seçimini bulmaktır.
Bu çalışmada yer seçimi için Bulanık ANP, Bulanık DEMATEL ve Bulanık ELECTRE metotları bütünleşik bir biçimde uygulanmıştır.
The document provides sample exam questions and answers for the Certified Software Quality Engineer (CSQE) exam. It contains 10 multiple choice questions about software quality topics like regression testing, requirements, stakeholder management, change impact analysis, metrics, risk identification, project budget variances, reproducible builds, and process audits. Each question is followed by an explanation of the correct answer referencing sections of the CSQE Handbook.
This document describes how to use the Analytic Hierarchy Process (AHP) to make a multi-criteria decision about purchasing an inventory management system. It involves defining the goal, criteria, and alternatives in a hierarchy. Pairwise comparisons are made between criteria and alternatives to assign weights. The weighted scores are calculated and the alternative with the highest score is selected. In this example, the goal is to purchase a system, the criteria are cost, functionality, supplier reputation, and user services, and the alternatives are Systems A, B, and C. System A is determined to have the highest total weighted score, making it the best choice.
This document contains a 100% correct answer key for the BSOP 588 Final Exam from DeVry University. It provides the answers to 10 multiple choice questions and 6 essay questions covering topics in quality management, process improvement, Lean, Six Sigma, and ISO standards. A link is also provided for more tutorial guides and classes on quality and operations management.
The document contains questions about software testing concepts and techniques, including topics like functional testing, static analysis, risk-based testing, test design techniques, structure testing, and test levels. Multiple choice answers are provided for 22 questions testing knowledge of testing fundamentals.
This document contains 25 multiple choice questions about business concepts like Porter's Five Forces model, competitive strategies, supply chain management, and information systems architecture. The questions assess understanding of topics like how cost benefit analysis helps improve effectiveness, common competitive analysis tools, how loyalty programs can reduce buyer power, Dell's generic strategy, and characteristics of distributed infrastructure.
Credit Default Swap (CDS) Rate Construction by Machine Learning TechniquesZhongmin Luo
1. Financial institutions need to construct proxy CDS rates for counterparties lacking liquid CDS quotes, which are required for CVA pricing, CVA risk charge calculation, etc;
2. Existing CDS Proxy Methods do not meet regulatory requirements and are vulnerable to arbitrage;
3. After investigating 8 most popular Machine Learning algorithms, we show that Machine Learning techniques can be used to construct reliable CDS proxies that meet regulatory regulations while free from the above problem
4. Feature variable selection can be critical for performance of CDS-proxy construction methods
5. Effects of feature variable correlations on classification performances have to be investigated in the case of financial data
1. The document provides multiple choice questions related to software testing concepts and terms. It covers topics like test case design, test levels, defect management, risk analysis, test techniques and tools.
2. Several questions test knowledge of terms related to test coverage, test types, integration testing techniques, defect prioritization and analysis. Other topics assessed include test planning, test metrics, compatibility testing and quality perspectives.
3. The document contains 75 multiple choice questions to evaluate understanding of key software testing concepts and best practices. The breadth of topics covered provides a comprehensive skills assessment.
11.11.08_GrC2011_Decision Rule Visualization for Knowledge Discovery by Means...LINE Corp.
This document summarizes an algorithm for visualizing decision rules in rough set approaches to knowledge discovery. It presents a flow for decision rule visualization that calculates co-occurrence rates between attribute values and applies a quantification method to plot attribute values in a coordinate system. Decision rules are then represented as links. The method was evaluated in experiments on product data and car data, finding it easier to understand dependencies and identify useful decision rules compared to a commercial software system.
This document contains questions and answers related to classification, regression, supervised learning, unsupervised learning, and reinforcement learning techniques. It also covers dimensionality reduction methods like principal component analysis and t-distributed stochastic neighbor embedding. Key concepts covered include classification vs regression problems, supervised vs unsupervised vs reinforcement learning, and the goals and techniques involved in dimensionality reduction.
HPSC SET with 2.pd"The document titled 'HPSC SNaveenThomas39
"The document titled 'HPSC SET with 2.pdf' contains essential guidelines and detailed instructions for the Haryana Public Service Commission's State Eligibility Test, outlining the syllabus, examination procedures, eligibility criteria, important dates, and preparation tips for aspiring candidates."
The document contains 65 multiple choice questions about concepts related to customer relationship management (CRM). The questions cover topics such as the definition of CRM, how CRM technology can help businesses, what a customer database is, how data mining works, drawbacks of CRM, types of marketing messages, accounting techniques used to assess customer costs, customer touchpoints, consumer behavior, socioeconomic classification systems, reference groups, processes involved in CRM, metrics like conversion rates and customer lifetime value, relationship marketing programs, steps in customer value analysis, total customer costs, profitable customers, and database marketing. The questions have a single correct multiple choice answer for each.
This document contains 50 multiple choice questions related to software engineering. It covers topics like software development models, software quality assurance, software metrics, software testing techniques and more. Each question has 4 answer options with one correct answer. The questions aim to test the reader's understanding of key concepts, principles and processes in software engineering.
This document contains 50 multiple choice questions related to software engineering. It covers topics like software development lifecycles, models, testing techniques, metrics, quality assurance and reliability. The questions test knowledge of concepts like waterfall model, spiral model, object oriented design, complexity metrics, ISO standards and more. Answers to the questions are also provided.
SKIM at Sawtooth Software Conference 2013: ACBC RevisitedSKIM
ACBC outperformed CBC in predicting TV preferences in holdout tasks. Researchers tested variations of ACBC and found that performance was robust across variations. Dynamic CBC performed better than standard CBC. Increasing the number of price cutpoints in piecewise estimation significantly improved ACBC performance. However, models overestimated brand preferences and underestimated the effect of price compared to actual choices. Future research aims to address discrepancies between predictions and choices.
Case study of Machine learning in banksZhongmin Luo
This document proposes a machine learning technique-based credit default swap (CDS) proxy method to estimate risk-neutral counterparty default probabilities for over-the-counter derivatives valuation, such as credit valuation adjustment. It evaluates the performance of 156 classifiers across 8 machine learning algorithms on financial market data. Neural networks, support vector machines, and ensemble/bagged decision trees are found to be the top three performing classifiers, with misclassification rates below 1%. This proposed method meets regulatory requirements, avoids arbitrage issues, and provides more accurate estimates of counterparty default risk compared to existing approaches.
Should all a- rated banks have the same default risk as lehman?Zhongmin Luo
1. Financial institutions need to construct proxy CDS rates for counterparties lacking liquid CDS quotes, which are required for CVA pricing, CVA risk charge calculation, etc;
2. Existing CDS Proxy Methods do not meet regulatory requirements and are vulnerable to arbitrage;
3. After investigating 8 most popular Machine Learning algorithms, we show that Machine Learning techniques can be used to construct reliable CDS proxies that meet regulatory regulations while free from the above problem
4. Feature variable selection can be critical for performance of CDS-proxy construction methods
5. Effects of feature variable correlations on classification performances have to be investigated in the case of financial data
The document contains 40 multiple choice questions related to software testing concepts and terminology. Some of the topics covered in the questions include types of testing (e.g. integration testing, system testing), test design techniques (e.g. boundary value analysis), test management processes (e.g. test estimation, test monitoring), and software quality attributes (e.g. reliability). The questions are from an ISTQB certification sample exam and include a answer key indicating the correct response for each question.
(1) The paper presents SAMSTAR, a semi-automated method to generate star schemas from entity relationship diagrams (ERDs).
(2) SAMSTAR uses the Connection Topology Value (CTV) to identify candidate fact tables based on entity relationships, and Annotated Dimensional Design Patterns (A_DDPs) to identify candidate dimension tables.
(3) The algorithm calculates CTV scores for each entity to identify fact candidates, then uses direct and indirect relationships, WordNet synonyms, and A_DDP lists to identify dimension candidates for each fact.
Don’t you want to succeed in your first attempt at getting SAP Certified Application Associate certification? If so, then grab on this chance to train better with Dumpspedia. We will provide you with all the essentials to ace the exam in just one try given that you train through our SAP Certified Application Associate - SAP Ariba Contracts Practice Exam Dumps there is nothing that can stop you from passing. We have specially collaborated with high professionals to get you these fantastic SAP C_ARCON_2202 Practice Test Questions. Get in touch with us through our official website.
https://www.dumpspedia.com/C_ARCON_2202-dumps-questions.html
Enterprise systems in healthcare: leveraging what we know from other industr...CONFENIS 2012
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The document provides sample exam questions and answers for the Certified Software Quality Engineer (CSQE) exam. It contains 10 multiple choice questions about software quality topics like regression testing, requirements, stakeholder management, change impact analysis, metrics, risk identification, project budget variances, reproducible builds, and process audits. Each question is followed by an explanation of the correct answer referencing sections of the CSQE Handbook.
This document describes how to use the Analytic Hierarchy Process (AHP) to make a multi-criteria decision about purchasing an inventory management system. It involves defining the goal, criteria, and alternatives in a hierarchy. Pairwise comparisons are made between criteria and alternatives to assign weights. The weighted scores are calculated and the alternative with the highest score is selected. In this example, the goal is to purchase a system, the criteria are cost, functionality, supplier reputation, and user services, and the alternatives are Systems A, B, and C. System A is determined to have the highest total weighted score, making it the best choice.
This document contains a 100% correct answer key for the BSOP 588 Final Exam from DeVry University. It provides the answers to 10 multiple choice questions and 6 essay questions covering topics in quality management, process improvement, Lean, Six Sigma, and ISO standards. A link is also provided for more tutorial guides and classes on quality and operations management.
The document contains questions about software testing concepts and techniques, including topics like functional testing, static analysis, risk-based testing, test design techniques, structure testing, and test levels. Multiple choice answers are provided for 22 questions testing knowledge of testing fundamentals.
This document contains 25 multiple choice questions about business concepts like Porter's Five Forces model, competitive strategies, supply chain management, and information systems architecture. The questions assess understanding of topics like how cost benefit analysis helps improve effectiveness, common competitive analysis tools, how loyalty programs can reduce buyer power, Dell's generic strategy, and characteristics of distributed infrastructure.
Credit Default Swap (CDS) Rate Construction by Machine Learning TechniquesZhongmin Luo
1. Financial institutions need to construct proxy CDS rates for counterparties lacking liquid CDS quotes, which are required for CVA pricing, CVA risk charge calculation, etc;
2. Existing CDS Proxy Methods do not meet regulatory requirements and are vulnerable to arbitrage;
3. After investigating 8 most popular Machine Learning algorithms, we show that Machine Learning techniques can be used to construct reliable CDS proxies that meet regulatory regulations while free from the above problem
4. Feature variable selection can be critical for performance of CDS-proxy construction methods
5. Effects of feature variable correlations on classification performances have to be investigated in the case of financial data
1. The document provides multiple choice questions related to software testing concepts and terms. It covers topics like test case design, test levels, defect management, risk analysis, test techniques and tools.
2. Several questions test knowledge of terms related to test coverage, test types, integration testing techniques, defect prioritization and analysis. Other topics assessed include test planning, test metrics, compatibility testing and quality perspectives.
3. The document contains 75 multiple choice questions to evaluate understanding of key software testing concepts and best practices. The breadth of topics covered provides a comprehensive skills assessment.
11.11.08_GrC2011_Decision Rule Visualization for Knowledge Discovery by Means...LINE Corp.
This document summarizes an algorithm for visualizing decision rules in rough set approaches to knowledge discovery. It presents a flow for decision rule visualization that calculates co-occurrence rates between attribute values and applies a quantification method to plot attribute values in a coordinate system. Decision rules are then represented as links. The method was evaluated in experiments on product data and car data, finding it easier to understand dependencies and identify useful decision rules compared to a commercial software system.
This document contains questions and answers related to classification, regression, supervised learning, unsupervised learning, and reinforcement learning techniques. It also covers dimensionality reduction methods like principal component analysis and t-distributed stochastic neighbor embedding. Key concepts covered include classification vs regression problems, supervised vs unsupervised vs reinforcement learning, and the goals and techniques involved in dimensionality reduction.
HPSC SET with 2.pd"The document titled 'HPSC SNaveenThomas39
"The document titled 'HPSC SET with 2.pdf' contains essential guidelines and detailed instructions for the Haryana Public Service Commission's State Eligibility Test, outlining the syllabus, examination procedures, eligibility criteria, important dates, and preparation tips for aspiring candidates."
The document contains 65 multiple choice questions about concepts related to customer relationship management (CRM). The questions cover topics such as the definition of CRM, how CRM technology can help businesses, what a customer database is, how data mining works, drawbacks of CRM, types of marketing messages, accounting techniques used to assess customer costs, customer touchpoints, consumer behavior, socioeconomic classification systems, reference groups, processes involved in CRM, metrics like conversion rates and customer lifetime value, relationship marketing programs, steps in customer value analysis, total customer costs, profitable customers, and database marketing. The questions have a single correct multiple choice answer for each.
This document contains 50 multiple choice questions related to software engineering. It covers topics like software development models, software quality assurance, software metrics, software testing techniques and more. Each question has 4 answer options with one correct answer. The questions aim to test the reader's understanding of key concepts, principles and processes in software engineering.
This document contains 50 multiple choice questions related to software engineering. It covers topics like software development lifecycles, models, testing techniques, metrics, quality assurance and reliability. The questions test knowledge of concepts like waterfall model, spiral model, object oriented design, complexity metrics, ISO standards and more. Answers to the questions are also provided.
SKIM at Sawtooth Software Conference 2013: ACBC RevisitedSKIM
ACBC outperformed CBC in predicting TV preferences in holdout tasks. Researchers tested variations of ACBC and found that performance was robust across variations. Dynamic CBC performed better than standard CBC. Increasing the number of price cutpoints in piecewise estimation significantly improved ACBC performance. However, models overestimated brand preferences and underestimated the effect of price compared to actual choices. Future research aims to address discrepancies between predictions and choices.
Case study of Machine learning in banksZhongmin Luo
This document proposes a machine learning technique-based credit default swap (CDS) proxy method to estimate risk-neutral counterparty default probabilities for over-the-counter derivatives valuation, such as credit valuation adjustment. It evaluates the performance of 156 classifiers across 8 machine learning algorithms on financial market data. Neural networks, support vector machines, and ensemble/bagged decision trees are found to be the top three performing classifiers, with misclassification rates below 1%. This proposed method meets regulatory requirements, avoids arbitrage issues, and provides more accurate estimates of counterparty default risk compared to existing approaches.
Should all a- rated banks have the same default risk as lehman?Zhongmin Luo
1. Financial institutions need to construct proxy CDS rates for counterparties lacking liquid CDS quotes, which are required for CVA pricing, CVA risk charge calculation, etc;
2. Existing CDS Proxy Methods do not meet regulatory requirements and are vulnerable to arbitrage;
3. After investigating 8 most popular Machine Learning algorithms, we show that Machine Learning techniques can be used to construct reliable CDS proxies that meet regulatory regulations while free from the above problem
4. Feature variable selection can be critical for performance of CDS-proxy construction methods
5. Effects of feature variable correlations on classification performances have to be investigated in the case of financial data
The document contains 40 multiple choice questions related to software testing concepts and terminology. Some of the topics covered in the questions include types of testing (e.g. integration testing, system testing), test design techniques (e.g. boundary value analysis), test management processes (e.g. test estimation, test monitoring), and software quality attributes (e.g. reliability). The questions are from an ISTQB certification sample exam and include a answer key indicating the correct response for each question.
(1) The paper presents SAMSTAR, a semi-automated method to generate star schemas from entity relationship diagrams (ERDs).
(2) SAMSTAR uses the Connection Topology Value (CTV) to identify candidate fact tables based on entity relationships, and Annotated Dimensional Design Patterns (A_DDPs) to identify candidate dimension tables.
(3) The algorithm calculates CTV scores for each entity to identify fact candidates, then uses direct and indirect relationships, WordNet synonyms, and A_DDP lists to identify dimension candidates for each fact.
Don’t you want to succeed in your first attempt at getting SAP Certified Application Associate certification? If so, then grab on this chance to train better with Dumpspedia. We will provide you with all the essentials to ace the exam in just one try given that you train through our SAP Certified Application Associate - SAP Ariba Contracts Practice Exam Dumps there is nothing that can stop you from passing. We have specially collaborated with high professionals to get you these fantastic SAP C_ARCON_2202 Practice Test Questions. Get in touch with us through our official website.
https://www.dumpspedia.com/C_ARCON_2202-dumps-questions.html
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3. Motivation
Enterprise resource planning (ERP) improves
operational efficiency by integrating business
processes and providing better access to
integrated data across the entire enterprise
Deciding which is the most suitable ERP solution is
often a difficult task for many companies.
ERP not developed in-house
4. Motivation
Organizations select and implement ERP systems
so as to obtain a variety of tangible and intangible
benefits and for strategic reasons.
The evaluation process of ERP systems needs to
take many criteria into account
organizational factors such as the complexity of the
business;
dealing with change management,
cost drivers,
its functional requirements,
system flexibility and system scalability,
external factors
5. Motivation
There is a strong possibility that in several
organizations, an ERP system will be
selected by a group.
Multicriteria group decision making involves
individuals who provide their preferences
for a set of alternatives with respect to a
set of attributes
Diverging opinions may arise
6. Introduction
This study deals with how support a group
of individuals to achieve a collective
decision when selecting an ERP system.
The methodology adopted considered that
DMs act in accordance with their own
interests and there is no information about
their relative importance to each other
7. Introduction
Which decision making method
should be used?
The selection of the most suitable
decision making method should be
based on the preference structures of
the DMs
8. Additive Model
For instance, an additive model could be
considered, such as in
Daher, S F D ; Almeida, A T (2012) The Use of Ranking Veto Concept
to Mitigate the Compensatory Effects of Additive Aggregation in Group
Decisions on a Water Utility Automation Investment. Group Decision
and Negotiation Journal, v. 21, p. 185-204.
In this case the additive model is considered for
aggregating the multiple criteria, and
Aggregating the decision makers’ preferences
A veto concept is applied for the additive
Aggregation of decision makers’ preferences
9. Outranking methods
An alternative approach is considered in this
work:
Outranking methods
Other properties are assumed for the decision
maker preference
10. Outranking methods
Outranking methods are particulary suitable
for decision-making through the notion of
weak preference and incomparability.
Outranking relations (S): “at least as good as”
aSb and not bSa a P b (a is strictly preferred to
b)
bSa and not aSb b P a (b is strictly preferred to
a)
aSb and bSa a I b (a is indifferent to b)
not aSb and not bSa a R b (a is incomparable to
b)
11. Outranking methods
Construction of an outranking relation is
based on 2 major concepts:
CONCORDANCE
Foran outranking aSb to be validated, a
sufficient majority of criteria should be in
favor of the assertion “a is at least as good
as b”.
NON-DISCORDANCE
When the concordance condition holds, none
of the criteria in the minority should oppose
too strongly to the assertion aSb.
12. ELECTRE Family methods
ELECTRE ( Elimination Et Choix Traduisant la
Realité / Elimination and Choice Expressing
the Reality)
This family seeks to obtain a set of N
alternatives that outrank those which do not
belong to the subset N.
Choice problematic:
ELECTRE I, ELECTRE Iv, ELECTRE IS;
Ranking problematic:
ELECTRE II, ELECTRE III, ELECTRE IV
Sorting problematic:
ELECTRE A, ELECTRE TRI
13. Model Proposed
Based on a combination of two outranking
methods: ELECTRE II and ELECTRE IV.
Assumptions:
The decision problem is well structured
Prior definition of a set n alternatives
Prior definition of a set k criteria
The model is organized in three steps
Alencar, L.H., Almeida, A. T., Morais, D. C.: A Multicriteria Group Decision Model
Aggregating the Preferences of Decision-Makers Based on ELECTRE Methods.
Pesquisa Operacional 30, Issue 3, 687-702 (2010)
14. Model Proposed
Individual ranking of alternatives (ELECTRE II)
Matrix of global evaluation
Group ranking of alternatives (ELECTRE IV)
15. Model Proposed
First step
ELECTRE II
Generation of individual rankings of alternatives
For each Decision Maker:
Decision Matrix D
Concordance and discordance indices
Criteria weights (inter-criteria information)
16. Model Proposed
First step
A concordance index C(a,b):
represents the coalition of arguments in favor
of the statement “a is at least as good as b ” or
in other words “a outranks b ” C (a, b) wj
{ j:g j ( a ) g j (b )}
A discordance index D(a,b) :
is used to measure the arguments that may
cast some doubt upon the latter statement.
D ( a, b) max {g j (b) g j (a)}
j: g j ( a ) g j ( b )
No veto condition: g j (a) v( g j (a)) g j (b), j J
17. Model Proposed
First step
These indices are used to construct two
pre-orders:
strong outranking relation (a SS b)
weak outranking relation (a Sw b)
C ( a, b) c
D ( a, b) d
S iff
aS b wj
j: gj ( a ) gj (b )
wj
j:gj ( a ) gj ( b )
C ( a, b) c
D ( a, b) d
aSW b iff wj wj
j: gj ( a ) gj (b ) j: gj ( a ) gj ( b )
18. Model Proposed
Second step
Obtain a matrix of global evaluation
Analyst must collect all individual ranking
and compile them in a global evaluation
matrix.
DMs are considered as criteria and their
rankings correpond to the evaluation of the
alternatives (ranking position of the
alternative)
19. Model Proposed
Third step
ELECTRE IV
Obtain a group ranking
ELECTRE IV is used in cases in which there
is a pseudo-criterion family and its main
feature is the absence of a weighting
related to the relative importance of the
criteria
20. Numerical application
Fictitious case study: ERP selection for a
Brazilian airlines
The company has to deal with inefficient
operational procedures and an IT/IS legacy
system.
In order to improve its competitiveness,
the company launch of several projects
including, an ERP system and the
reengineering of some business processes
21. Numerical application
Four decision makers:
the financial manager (DM1)
the IT/IS manager (DM2)
the operational manager (DM3)
the customer relation manager (DM4)
Analyst should conduct the decision
making process.
Number of alternatives: 4
22. Numerical application
Criteria selection
Based on: ISO/IEC 9126-1
a standard that addresses quality model
definition and its use as framework for software
evaluation
Group of criteria:
functional, portability, maintainability,
efficiency, vendor, cost
23. Numerical application
Criteria adopted
Criteria Criteria group
C1 Completeness Functional
C2 Number of simultaneous users Functional
C3 DBMS Standards Portability
C4 Number of modules Maintainability
C5 Time behavior Efficiency
C6 Length of experience Vendor
C7 License cost Cost
Installation and implementation
C8 Cost
cost
27. Final remarks
In general, decisions made in organizations
involve a group of people, from different
departments or sectors
Analyst should guarantee that client’s interest
are as well represented as possible.
An approach to support a group of decision
makers to select na ERP system
Different results could appear if ELECTRE
IV be changed to another method such as
Borda Count or Condorcet.
28. Thank you.
Suzana Daher
Federal University of Pernambuco
Brazil
sfdd@uol.com.br
suzanadaher@gmail.com