This document discusses selecting an optimal maintenance strategy for a factory using multiple criteria decision making techniques. It proposes integrating DEMATEL-ANP, IT2F, and TOPSIS to address limitations of single techniques. The objectives are to identify evaluation criteria and alternative strategies, develop an ANP model to determine criteria weights, and prioritize strategies. A literature review found limitations in existing MCDM methods for uncertainty and inability to filter criteria or change qualitative to quantitative data. Experts will provide pairwise comparisons of criteria, sub-criteria, and alternatives through questionnaires. Data analysis will determine influential criteria, criteria/sub-criteria weights, and strategy prioritization.
A BENCHMARK MODEL FOR INTERNAL ASSESSMENT OF INDUSTRY USING FUZZY TOPSIS APPR...ijmech
Internal assessment is one of the most important factor of an industry, needs appropriate improvement
planning between the departments with development of Benchmark model among them. The proposed study
applies Fuzzy Technique for Order Preference by Similarity to Ideal Solution to rank different alternatives.
The preliminary results indicate that the proposed model is capable of determining appropriate
competition between departments which are Human Resource, Finance, Production, Quality Assurance. To
remove the subjectivity, the linguistic data about the attributes is converted into a crisp score by using
fuzzy numbers and then the different alternatives are evaluated based on attributes by TOPSIS approach to
find the best alternative according to the industry’s requirement. Thus the endeavor has been made by the
authors to give a simple model for the evaluation of internal assessment of an industry
4313ijmvsc02A FUZZY AHP APPROACH FOR SUPPLIER SELECTION PROBLEM: A CASE STUDY...ijmvsc
Supplier selection is one of the most important functions of a purchasing department. Since by deciding the best supplier, companies can save material costs and increase competitive advantage. However this decision becomes complicated in case of multiple suppliers, multiple conflicting criteria, and imprecise parameters. In addition the uncertainty and vagueness of the experts’ opinion is the prominent characteristic of the problem. Therefore an extensively used multi criteria decision making tool Fuzzy AHP can be utilized as an approach for supplier selection problem. This paper reveals the application of Fuzzy AHP in a gear motor company determining the best supplier with respect to selected criteria. The contribution of this study is not only the application of the Fuzzy AHP methodology for supplier selection problem, but also releasing a comprehensive literature review of multi criteria decision making problems. In addition by stating the steps of Fuzzy AHP clearly and numerically, this study can be a guide of the methodology to be implemented to other multiple criteria decision making problems.
Selection of Equipment by Using Saw and Vikor Methods IJERA Editor
Now a days, Lean manufacturing becomes a key strategy for global competition. In this environment the most important process is the selection of the equipment. Equipment selection is a very important issue for effective manufacturing companies due to the fact that improperly selected machines can negatively affect the overall performance of manufacturing system. The availability of large number of equipments are more hence, the selection of suitable equipment for certain operation/ product becomes difficult. On the other hand selecting the best equipment among many alternatives is a Multi-criteria decision making ( MCDM ) Problems. In this Paper an approach which employs SAW, VIKOR Methods proposed for the equipment selection problem. The SAW and VIKOR is used to analyze the structure of the equipment selection problem and to determine weights of criteria and to obtain Final Ranking
Introduction to Decision Making
MULTI CRITERIA DECISION MAKING
STEPS IN A TYPICAL MCDM PROCESS
Popularity of Different MCDM Methods
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
A BENCHMARK MODEL FOR INTERNAL ASSESSMENT OF INDUSTRY USING FUZZY TOPSIS APPR...ijmech
Internal assessment is one of the most important factor of an industry, needs appropriate improvement
planning between the departments with development of Benchmark model among them. The proposed study
applies Fuzzy Technique for Order Preference by Similarity to Ideal Solution to rank different alternatives.
The preliminary results indicate that the proposed model is capable of determining appropriate
competition between departments which are Human Resource, Finance, Production, Quality Assurance. To
remove the subjectivity, the linguistic data about the attributes is converted into a crisp score by using
fuzzy numbers and then the different alternatives are evaluated based on attributes by TOPSIS approach to
find the best alternative according to the industry’s requirement. Thus the endeavor has been made by the
authors to give a simple model for the evaluation of internal assessment of an industry
4313ijmvsc02A FUZZY AHP APPROACH FOR SUPPLIER SELECTION PROBLEM: A CASE STUDY...ijmvsc
Supplier selection is one of the most important functions of a purchasing department. Since by deciding the best supplier, companies can save material costs and increase competitive advantage. However this decision becomes complicated in case of multiple suppliers, multiple conflicting criteria, and imprecise parameters. In addition the uncertainty and vagueness of the experts’ opinion is the prominent characteristic of the problem. Therefore an extensively used multi criteria decision making tool Fuzzy AHP can be utilized as an approach for supplier selection problem. This paper reveals the application of Fuzzy AHP in a gear motor company determining the best supplier with respect to selected criteria. The contribution of this study is not only the application of the Fuzzy AHP methodology for supplier selection problem, but also releasing a comprehensive literature review of multi criteria decision making problems. In addition by stating the steps of Fuzzy AHP clearly and numerically, this study can be a guide of the methodology to be implemented to other multiple criteria decision making problems.
Selection of Equipment by Using Saw and Vikor Methods IJERA Editor
Now a days, Lean manufacturing becomes a key strategy for global competition. In this environment the most important process is the selection of the equipment. Equipment selection is a very important issue for effective manufacturing companies due to the fact that improperly selected machines can negatively affect the overall performance of manufacturing system. The availability of large number of equipments are more hence, the selection of suitable equipment for certain operation/ product becomes difficult. On the other hand selecting the best equipment among many alternatives is a Multi-criteria decision making ( MCDM ) Problems. In this Paper an approach which employs SAW, VIKOR Methods proposed for the equipment selection problem. The SAW and VIKOR is used to analyze the structure of the equipment selection problem and to determine weights of criteria and to obtain Final Ranking
Introduction to Decision Making
MULTI CRITERIA DECISION MAKING
STEPS IN A TYPICAL MCDM PROCESS
Popularity of Different MCDM Methods
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
SELECTION OF BEST ALTERNATIVE IN MANUFACTURING AND SERVICE SECTOR USING MULTI...cscpconf
Modern manufacturing organizations tend to face versatile challenges due to globalization, modern lifestyle trends and rapid market requirements from both locally and globally placed competitors. The organizations faces high stress from dual perspective namely enhancement in science and technology and development of modern strategies. In such an instance, organizations were in a need of using an effective decision making tool that chooses out optimal alternative that reduces time, complexity and highly simplified. This paper explores a usage of new multi criteria decision making tool known as MOORA for selecting the best alternatives by examining various case study. The study was covered up in two fold manner by comparing MOORA with other MCDM and MADM approaches to identify its advantage for selecting optimal alternative, followed by highlighting the scope and gap of using MOORA approach. Examination on various case study reveals an existence of huge scope in using MOORA for numerous manufacturing and service applications.
Selection of Best Alternative in Manufacturing and Service Sector Using Multi...csandit
Modern manufacturing organizations tend to face versatile challenges due to globalization,
modern lifestyle trends and rapid market requirements from both locally and globally placed
competitors. The organizations faces high stress from dual perspective namely enhancement in
science and technology and development of modern strategies. In such an instance,
organizations were in a need of using an effective decision making tool that chooses out optimal
alternative that reduces time, complexity and highly simplified. This paper explores a usage of
new multi criteria decision making tool known as MOORA for selecting the best alternatives by
examining various case study. The study was covered up in two fold manner by comparing
MOORA with other MCDM and MADM approaches to identify its advantage for selecting
optimal alternative, followed by highlighting the scope and gap of using MOORA approach.
Examination on various case study reveals an existence of huge scope in using MOORA for
numerous manufacturing and service applications.
CHAPTER Modeling and Analysis Heuristic Search Methods .docxtiffanyd4
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. .
CHAPTER Modeling and Analysis Heuristic Search Methods .docxmccormicknadine86
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. ...
Selection of Supplier by Using Saw and Vikor MethodsIJERA Editor
Now a days, Lean manufacturing becomes a key strategy for global competition. In this environment the most important process is the efficient selection of suppliers. In any organization various criteria such as quality, cost, location etc are used for the selection of supplier which plays a vital role in the industry. In the present work multi criteria decision making (MCDM) methods are used such as SAW method and VIKOR method. It is used to select the best supplier for implementing the spring manufacturing industry. Choice of the efficient supplier could be a complicated and is a complex problem and this draw back associate degreed a key success for an organization. In this paper linguistic fuzzy data is used to search out the ratings and weights and also the introduced methodologies employed to pick the efficient supplier
ISFM-300 Case Study, Stage 1 Business Environment Analysis.docxchristiandean12115
ISFM-300 Case Study, Stage 1: Business Environment Analysis
ISFM-300 Case Study, Stage 1: Business Environment Analysis
Before you begin this assignment, be sure you have: 1) Read the “UMUC Haircuts Case Study” and be sure to review the “Walmart Example.” 2) Completed all previously assigned readings, particularly those assigned in Week 1 of the class
Purpose of this Assignment
This assignment gives you the opportunity to apply the concepts of the Porter Five Forces model to a specific business, explain and support an identified strategic direction for UMUC Haircuts, and analyze the identified business process that could be improved with the use of technology. This assignment specifically addresses the following course outcomes to enable you to:
· analyze business strategy to recognize how technology solutions enable strategic outcomes
· analyze internal and external business processes to identify information systems requirements
· analyze business strategy to recognize how technology solutions enable strategic outcomes
Analyze internal and external business processes to identify information systems requirements
A - Overview of Business Environment Analysis for UMUC Haircuts UMUC Haircuts has been in business since 1995 and has seen an increase in competition from a variety of competitors, as described in the Case Study. With the news that a Hair Cuttery is likely to open only five miles away, Myra, the owner of UMUC Haircuts, is concerned and has begun analyzing her situation and what could be done to remain competitive in this changing environment. She has recognized that scheduling her employees and her customers is causing her problems, and she thinks she should focus on that first, as it is fundamental to her business. Myra also believes that there must be a technology solution that could help her run her salon, but she has no idea where to start.
You are a Systems Analyst, and Myra has asked you to help her with determining how she can improve her business. Myra has requested, specifically, that you verify and provide added support to her own analysis that has resulted in the identification of a Strategy for Competitive Advantage and a Business Process for Improvement. This will be the basis for defining business and systems requirements for an IT solution. This Strategy and IT
Solution
will help to bring UMUC Haircuts into the 21st century and taking advantage of current technology. You will analyze her business environment using Porter's Five Forces Analysis. Then, you will use the results of that analysis to explain how it supports Myra’s Strategy for Competitive Advantage, and the business process that she selected for improvement through the use of technology.
· It is important to note that a business owner has many areas where improvements can be made, such as: staff, building facility, supplier agreements, advertising, etc. There are also many possible solutions that could improve the business strategy and .
Instructions· This is a group assignment with only 4 .docxnormanibarber20063
Instructions:
· This is a group assignment with only 4 members. As discussed and explained in the class, this assignment is a Case study.
· The students should read and analyze the Case study and submit their report.
· The report should contain the following:
The Assignment should cover the following points:
1. Brief Overview (Describe the Company and issues discussed)
2. Situation Analysis (SWOT)
3. Key Issues (Symptoms/Problems)
4. Alternatives (A set of strategic alternatives that have a potential to solve the problem)
5. Evaluation of Alternatives (How well does the alternative address the issue stated? / List the pros and cons of each alternative)
6. Recommendation
7. Implementation Plan (Steps to follow constrained by budget and timeline/Short term and long term plan/Always look for appendices)
8. Risk and Mitigation (List all the challenges that would prevent the company from successfully implementing the proposed solution/List risk mitigation strategies for every challenge)
Rubric for Report: 20 marks
Category
Failed
0-1
Partially
2
Mostly
3
Absolutely
4
Key Issue(s)
Did not identify Key Issues
Partially identified Key Issues
Mostly identified Key Issues
Absolutely identified Key Issues
Relevant Factors
Did not analyze Relevant Factors
Partially analyzed Relevant Factors
Mostly analyzed Relevant Factors
Absolutely analyzed Relevant Factors
Alternatives (Identify)
Did not develop realistic Alternatives
Partially developed realistic Alternatives
Mostly developed realistic Alternatives
Absolutely developed realistic Alternatives
Alternatives (Evaluate)
Did not evaluate Alternatives
Partially evaluated Alternatives
Mostly evaluated Alternatives
Absolutely evaluated Alternatives
Recommendation
Did not select a Recommendation to address key issues
Partially selected a Recommendation to address key issues
Mostly selected a Recommendation to address key issues
Absolutely selected a Recommendation to address key issues
Date of Submission: WEEK 6
BEST WISHES
Activity-Based Costing: A Tool for Manufacturing
Excellence
ABC is a strategic weaoon in the Quest for comoetitive oosition.
By Peter B.B. Turney, Ph.D.
This article exammes rne role of
actiVity-based costing in the
achievement of manufacturing ex-
cellence. It describes manufacturing
excellence and the product cost in-
formation requirements of managers
who seek to achieve it. It shows
how conventional product costing
fails to meet these needs, and dem-
onstrates how activity-based cost-
ing corrects these deficiencies. It
explains how managers in manufac-
turing companies can use activity-
based costing for strategic, product
design, and continuous improve-
ment purposes. Finally, the article
lays to rest fears that activity-based
costing may be too costly and com-
plex to be compatible with manu-
facturing excellence.
A chieving and sustaining a com-petitive advantage via manufac-
turing excellence requires attention
to all .
OPTIMAL ALTERNATIVE SELECTION USING MOORA IN INDUSTRIAL SECTOR - A REVIEWWireilla
Modern manufacturing organizations tend to face versatile challenges due to globalization, modern lifestyle trends and rapid market requirements from both locally and globally placed competitors. The organizations faces high stress from dual perspective namely enhancement in science and technology and development of modern strategies. In such an instance, organizations were in a need of using an effective decision making tool that chooses out optimal alternative that reduces time, complexity and highly simplified. This paper explores a usage of new multi criteria decision making tool known as MOORA for selecting the best alternatives by examining various case study. The study was covered up in two fold manner by comparing MOORA with other MCDM and MADM approaches to identify its advantage for selecting optimal alternative, followed by extending MOORA with interval grey numbers, crisp and interval grey number and whitening coefficient and future scope of the present work concentrate on highlighting the scope and gap between MOORA, Multiplicative form of MOORA(MULTIMOORA) and Multi objective optimization on the basis of simple ratio analysis (MOOSRA) for numerous manufacturing and service applications.
Optimal Alternative Selection Using MOORA in Industrial Sector - A ijfls
Modern manufacturing organizations tend to face versatile challenges due to globalization, modern
lifestyle trends and rapid market requirements from both locally and globally placed competitors. The
organizations faces high stress from dual perspective namely enhancement in science and technology and
development of modern strategies. In such an instance, organizations were in a need of using an effective
decision making tool that chooses out optimal alternative that reduces time, complexity and highly
simplified. This paper explores a usage of new multi criteria decision making tool known as MOORA for
selecting the best alternatives by examining various case study. The study was covered up in two fold
manner by comparing MOORA with other MCDM and MADM approaches to identify its advantage for
selecting optimal alternative, followed by extending MOORA with interval grey numbers, crisp and interval
grey number and whitening coefficient and future scope of the present work concentrate on highlighting the
scope and gap between MOORA, Multiplicative form of MOORA(MULTIMOORA) and Multi objective
optimization on the basis of simple ratio analysis (MOOSRA) for numerous manufacturing and service
applications.
SELECTION OF BEST ALTERNATIVE IN MANUFACTURING AND SERVICE SECTOR USING MULTI...cscpconf
Modern manufacturing organizations tend to face versatile challenges due to globalization, modern lifestyle trends and rapid market requirements from both locally and globally placed competitors. The organizations faces high stress from dual perspective namely enhancement in science and technology and development of modern strategies. In such an instance, organizations were in a need of using an effective decision making tool that chooses out optimal alternative that reduces time, complexity and highly simplified. This paper explores a usage of new multi criteria decision making tool known as MOORA for selecting the best alternatives by examining various case study. The study was covered up in two fold manner by comparing MOORA with other MCDM and MADM approaches to identify its advantage for selecting optimal alternative, followed by highlighting the scope and gap of using MOORA approach. Examination on various case study reveals an existence of huge scope in using MOORA for numerous manufacturing and service applications.
Selection of Best Alternative in Manufacturing and Service Sector Using Multi...csandit
Modern manufacturing organizations tend to face versatile challenges due to globalization,
modern lifestyle trends and rapid market requirements from both locally and globally placed
competitors. The organizations faces high stress from dual perspective namely enhancement in
science and technology and development of modern strategies. In such an instance,
organizations were in a need of using an effective decision making tool that chooses out optimal
alternative that reduces time, complexity and highly simplified. This paper explores a usage of
new multi criteria decision making tool known as MOORA for selecting the best alternatives by
examining various case study. The study was covered up in two fold manner by comparing
MOORA with other MCDM and MADM approaches to identify its advantage for selecting
optimal alternative, followed by highlighting the scope and gap of using MOORA approach.
Examination on various case study reveals an existence of huge scope in using MOORA for
numerous manufacturing and service applications.
CHAPTER Modeling and Analysis Heuristic Search Methods .docxtiffanyd4
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. .
CHAPTER Modeling and Analysis Heuristic Search Methods .docxmccormicknadine86
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. ...
Selection of Supplier by Using Saw and Vikor MethodsIJERA Editor
Now a days, Lean manufacturing becomes a key strategy for global competition. In this environment the most important process is the efficient selection of suppliers. In any organization various criteria such as quality, cost, location etc are used for the selection of supplier which plays a vital role in the industry. In the present work multi criteria decision making (MCDM) methods are used such as SAW method and VIKOR method. It is used to select the best supplier for implementing the spring manufacturing industry. Choice of the efficient supplier could be a complicated and is a complex problem and this draw back associate degreed a key success for an organization. In this paper linguistic fuzzy data is used to search out the ratings and weights and also the introduced methodologies employed to pick the efficient supplier
ISFM-300 Case Study, Stage 1 Business Environment Analysis.docxchristiandean12115
ISFM-300 Case Study, Stage 1: Business Environment Analysis
ISFM-300 Case Study, Stage 1: Business Environment Analysis
Before you begin this assignment, be sure you have: 1) Read the “UMUC Haircuts Case Study” and be sure to review the “Walmart Example.” 2) Completed all previously assigned readings, particularly those assigned in Week 1 of the class
Purpose of this Assignment
This assignment gives you the opportunity to apply the concepts of the Porter Five Forces model to a specific business, explain and support an identified strategic direction for UMUC Haircuts, and analyze the identified business process that could be improved with the use of technology. This assignment specifically addresses the following course outcomes to enable you to:
· analyze business strategy to recognize how technology solutions enable strategic outcomes
· analyze internal and external business processes to identify information systems requirements
· analyze business strategy to recognize how technology solutions enable strategic outcomes
Analyze internal and external business processes to identify information systems requirements
A - Overview of Business Environment Analysis for UMUC Haircuts UMUC Haircuts has been in business since 1995 and has seen an increase in competition from a variety of competitors, as described in the Case Study. With the news that a Hair Cuttery is likely to open only five miles away, Myra, the owner of UMUC Haircuts, is concerned and has begun analyzing her situation and what could be done to remain competitive in this changing environment. She has recognized that scheduling her employees and her customers is causing her problems, and she thinks she should focus on that first, as it is fundamental to her business. Myra also believes that there must be a technology solution that could help her run her salon, but she has no idea where to start.
You are a Systems Analyst, and Myra has asked you to help her with determining how she can improve her business. Myra has requested, specifically, that you verify and provide added support to her own analysis that has resulted in the identification of a Strategy for Competitive Advantage and a Business Process for Improvement. This will be the basis for defining business and systems requirements for an IT solution. This Strategy and IT
Solution
will help to bring UMUC Haircuts into the 21st century and taking advantage of current technology. You will analyze her business environment using Porter's Five Forces Analysis. Then, you will use the results of that analysis to explain how it supports Myra’s Strategy for Competitive Advantage, and the business process that she selected for improvement through the use of technology.
· It is important to note that a business owner has many areas where improvements can be made, such as: staff, building facility, supplier agreements, advertising, etc. There are also many possible solutions that could improve the business strategy and .
Instructions· This is a group assignment with only 4 .docxnormanibarber20063
Instructions:
· This is a group assignment with only 4 members. As discussed and explained in the class, this assignment is a Case study.
· The students should read and analyze the Case study and submit their report.
· The report should contain the following:
The Assignment should cover the following points:
1. Brief Overview (Describe the Company and issues discussed)
2. Situation Analysis (SWOT)
3. Key Issues (Symptoms/Problems)
4. Alternatives (A set of strategic alternatives that have a potential to solve the problem)
5. Evaluation of Alternatives (How well does the alternative address the issue stated? / List the pros and cons of each alternative)
6. Recommendation
7. Implementation Plan (Steps to follow constrained by budget and timeline/Short term and long term plan/Always look for appendices)
8. Risk and Mitigation (List all the challenges that would prevent the company from successfully implementing the proposed solution/List risk mitigation strategies for every challenge)
Rubric for Report: 20 marks
Category
Failed
0-1
Partially
2
Mostly
3
Absolutely
4
Key Issue(s)
Did not identify Key Issues
Partially identified Key Issues
Mostly identified Key Issues
Absolutely identified Key Issues
Relevant Factors
Did not analyze Relevant Factors
Partially analyzed Relevant Factors
Mostly analyzed Relevant Factors
Absolutely analyzed Relevant Factors
Alternatives (Identify)
Did not develop realistic Alternatives
Partially developed realistic Alternatives
Mostly developed realistic Alternatives
Absolutely developed realistic Alternatives
Alternatives (Evaluate)
Did not evaluate Alternatives
Partially evaluated Alternatives
Mostly evaluated Alternatives
Absolutely evaluated Alternatives
Recommendation
Did not select a Recommendation to address key issues
Partially selected a Recommendation to address key issues
Mostly selected a Recommendation to address key issues
Absolutely selected a Recommendation to address key issues
Date of Submission: WEEK 6
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Modern manufacturing organizations tend to face versatile challenges due to globalization, modern lifestyle trends and rapid market requirements from both locally and globally placed competitors. The organizations faces high stress from dual perspective namely enhancement in science and technology and development of modern strategies. In such an instance, organizations were in a need of using an effective decision making tool that chooses out optimal alternative that reduces time, complexity and highly simplified. This paper explores a usage of new multi criteria decision making tool known as MOORA for selecting the best alternatives by examining various case study. The study was covered up in two fold manner by comparing MOORA with other MCDM and MADM approaches to identify its advantage for selecting optimal alternative, followed by extending MOORA with interval grey numbers, crisp and interval grey number and whitening coefficient and future scope of the present work concentrate on highlighting the scope and gap between MOORA, Multiplicative form of MOORA(MULTIMOORA) and Multi objective optimization on the basis of simple ratio analysis (MOOSRA) for numerous manufacturing and service applications.
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Modern manufacturing organizations tend to face versatile challenges due to globalization, modern
lifestyle trends and rapid market requirements from both locally and globally placed competitors. The
organizations faces high stress from dual perspective namely enhancement in science and technology and
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optimization on the basis of simple ratio analysis (MOOSRA) for numerous manufacturing and service
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Proposal power point draft.pptx
1. Selecting a suitable maintenance strategy under uncertain conditions using
DEMATEL-ANP, IT2F and TOSIS (Case- Amhara Metal Industry and Machine
Technology Development Enterprise)
Adviser:- Betseha T ( Phd)
2. Introduction
Maintenance means restoring the equipment to perform its function
Corrective and preventive maintenance are two broad categories
It consumes around 75% of the production cost
MCDM techniques have the ability to handle maintenance decision
issue
Single technique of MCDM has its drawback
3. Cont.…
MCDM technique needs input data
Its main purpose is to propose an integrated fuzzy MCDM technique
It integrates DEMATEL-ANP, IT2F and TOPSIS
5. General objective
Determining optimal maintenance strategy
Specific objective
Identify Criteria, sub-criteria and alternative maintenance strategy
Developing ANP model
Determining weights of criteria
Prioritizing the alternative maintenance strategy
6. Significance of the study
Solve maintenance strategy problems
Contributes a great domain of knowledge
7. Scope of the study
Determining maintenance strategy for the case company
uses criteria approved by management
The result is implemented only for case company
8. Literature review
Multi-criteria decision-making technique
AHP has its limitation on
uncertainty in decision-making
unable to change qualitative terms into quantitative
Modified AHP(ANP) has its limitation on
Uncertainty in decision making
Unable to convert the qualitative expression into quantitative
9. Cont.….
Fuzzy-AHP has its limitation on
uncertainty in decision making
Don’t allow to filter the decision criteria
Fuzzy-AHP and TOPSIS have its limitation on
Doesn’t allow to eliminate less important decision criteria
Uncertainty in decision making
10. Cont.…
hybrid goal programming, the BWM-TOPSIS have a limitation on
uncertainty in decision making
the objective function is not achieved simultaneously
IT2F, AHP and TOPSIS have limitations on
the author doesn’t allow to consider sub-criteria
Limited number of criteria
doesn’t allow to eliminate less important criteria
11. Methodology( method and material)
Literature review
Reviewing papers published on MCDM techniques
Examining individual and integrated MCDM algorithms
Identifying criteria, sub-criteria and alternative maintenance strategy
13. Cont.…
Data analysis
Three major activities are performed here
Determining influential criteria and eliminating less important criteria
Determining the weight of criteria and sub-criteria
Prioritizing the alternative maintenance strategy