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Industrial Engineering & Operation Management: Application of Decision Making Techniques

Author Name : Arvind Jayant

Features

  • Publisher : Studium Press (India) Pvt. Ltd
  • Edition : 1st
  • ISBN 13 : 978-93-85046-45-2
  • Page no : 334
  • Publication Year : 2019
$1295

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  • Description
  • Table Of Content
  • Reviews
"This reference book is written as a self-teaching tool to assist every technical teacher, engineering student, MBA students, mathematician, or non-mathematician for educating themselves or others, and to support their understanding of the elementary concepts of assessing the performance of a set of homogenous firms. The book can be used as a reference for undergraduate or graduate level courses in industrial engineering, operation management, economics, management, business, statistics, or There is no pre-course required to start reading the book, except a basic and elementary knowledge of mathematics and computer. Research works often require one or more analytical tools for problem solving, optimisation, prediction, system modelling, data analysis or interpretation etc. In a typical academic research work or any professional research assignment, at some point the researcher looks for a suitable analytical strategic decision modelling tool to progress the work before arriving at some inferences. However, a wrong selection of the tool for a specific problem can be counterproductive and mislead the hard research efforts. The fact is that for each research problem or situation, one must be judiciously select an analytical tool that is best suitable for it. Some illustrative examples using popular MCDM techniques (AHP, ANP, DEA, VIKOR, Fuzzy-AHP, GRA, TOPSIS,ELECTRE III and PROMETHEE) and discrete event simulation applications in manufacturing environment are included in the book to help the readers in tool selection by bridging the gap between theory and application. The book attempts to contain most of the contemporary analytical multi criteria decision making tools but giving exhaustive description for each tool is neither feasible nor the objective. The unique book can serve as a reference source for various academic courses, dissertations, research projects and assignments. The hypothetical & real-life case study based illustrative examples cited in the book are solved either through software or otherwise.
Table of Content "About the Author -Acknowledgements -Preface =List of Abbreviations -List of Figures -List of Tables
1. Vendor Evaluation in SCM Through AHP and VIKOR Technique 1.1 Introduction 1.2 Supply Chain Management Process Flow 1.3 Supply Chain Flow 1.4 Vendor Selection in Supply Chain Management 3
1.5 Analytical Hierarchical Process 1.6 Structuring Vendor Selection Problem: Developing a Hierarchical Model 1.7 Vendor Selection Criteria 1.8 Benefits of the Analytical Hierarchy Process 1.9 Limitation of AHP 1.10 Vendor Evaluation & Ranking Through VIKOR Method 1.11 Results and Discussion 1.12 Managerial Implications 1.13 Conclusions 2. Fuzzy-AHP Based Approach for Supplier Evaluation and Selection 2.1 Introduction 2.2 Analytical Hierarchy Process 2.3 Fuzzy Analytical Hierarchy Process (FAHP) 2.4 Fuzzy Set Theory 2.5 Triangular Fuzzy Numbers Industrial Engineering and Operation Management 2.6 Linguistic Variable 2.7 Algorithm of FAHP Method 2.8 Application of Methodology Adopted 2.9 Working Steps of Calculations and Applications for FAHP in Supplier Evaluation and Selection 2.10 Hierarchy Model for Supplier Selection 2.11 Discussion and Managerial Implications 3. Analytic Network Process (ANP) Approach for Green Supplier Selection in Supply Chain Management 3.1 Introduction 3.2 Objectives and Issues 3.3 Analytic Network Process 3.4 Steps to Analytic Network Process 3.5 Benefits of the Analytic Network Process 3.6 Limitations of Analytic Network Process 106 3.7 Method Application 3.8 Model for Green Supplier Selection 3.9 Description of the Model 109 3.10 Working Steps of Calculations and Applications for ANP in Green Supplier 3.11 Discussion and Managerial Implications 3.12 Conclusions 4. Modeling the Barriers of Green Supply Chain Practices: An Interpretive Structural Modeling(ISM) Approach4.1 Introduction 4.2 Objective and Issues 4.3 Problem Description 4.4 Interpretive Structural Modeling (ISM) Technique 4.5 Steps for ISM Technique 4.6 Application of ISM 4.7 Results and Discussion 4.8 Conclusions 4.9 Summary 5. Application of Data Envelopment Analysis (DEA) for Performance Evaluation of Suppliers and Manufacturer 5.1 Problem Statement 5.2 Introduction 5.3 Data Envelopment Analysis (DEA) 5.4 Mathematical Model of DEA 5.5 DEA-Frontier Software 5.6 Efficiency Analysis of Company ABC Ltd Supply Chain Management Problem5.7 Results and Discussion 5.8 Comparison of the Supplier Efficiency and Manufacturer Efficiency5.9 Managerial Implications 5.10 Conclusions 6. Application of AHP-GRA Based Hybrid Approach for 184Green Global Manufacturing Strategy Selection6.1 Introduction 6.2 Problem Description 1856.3 Application of Analytical Hierarchy Process (AHP) 6.4 Application of Grey Relational Analysis (GRA) 6.5 Application of VIKOR 6.6 Application of TOPSIS 6.7 Discussion 6.8 Summary 7. Evaluation of Remanufacturing Strategies for (EOL)/Used Cell Phones: ANP and Balanced Scorecard Approach7.1 Introduction 7.2 Mobile Phone Remanufacturing Process Chain 7.3 The Decision Environment 7.4 Analysis and Results 7.5 Discussion and Managerial Implications 7.6 Summary 8. Decision Support System Based on MCDM Techniques for Flexible Manufacturing System (FMS) Evaluation 8.1 Introduction 8.2 Research Methodology 8.3 Problem Description 8.4 Discussion and Proposed Solution 8.5 Summary and Conclusions 9. Design of Forward and Reverse Supply Chain Networks: A Simulation Based Approach9.1 Introduction 9.2 Current Forward and Reverse Supply Chain of Company Industrial Engineering and Operation Management 9.3 Problems with Current Recycling Model 2649.4 Pyrometallurgical Refining 9.5 Performance Parameters of the Company 9.6 Design of the Conceptual Model 9.7 Simulation 9.8 Simulation Modeling of the Reverse Logistics Network 9.9 Model Translation 9.10 Verification and Validation 9.11 Limitations of Work 9.12 Results and Discussion 9.13 Comparison of Parameters 9.14 Summary and Conclusions 10. Simulation Modeling of AGVs Based Production System in Job-Shop Manufacturing Environment 10.1 Introduction 10.2 Problem Explanation 10.3 Design of Layout of Job-Shop Manufacturing Environment 10.4 Simulation Modeling of AGVs in Manufacturing Environment 10.5 Simulation Model Translation 10.6 Results and Discussion 10.7 Conclusions and Future Scope Bibliography ; Subject Index
Series No
Title Industrial Engineering & Operation Management: Application of Decision Making Techniques
Author's Name Arvind Jayant
Publisher Studium Press (India) Pvt. Ltd
Page No. 334
Year Of Publication 2019
ISBN 10 No
ISBN 13 978-93-85046-45-2
Book size width -
book size(hei) -
Edition 1st
Book Size(len) -
Binding type Hard bound
About The Book This reference book is written as a self-teaching tool to assist every technical teacher, engineering student, MBA students, mathematician, or non-mathematician for educating themselves or others, and to support their understanding of the elementary concepts of assessing the performance of a set of homogenous firms. The book can be used as a reference for undergraduate or graduate level courses in industrial engineering, operation management, economics, management, business, statistics, or There is no pre-course required to start reading the book, except a basic and elementary knowledge of mathematics and computer. Research works often require one or more analytical tools for problem solving, optimisation, prediction, system modelling, data analysis or interpretation etc. In a typical academic research work or any professional research assignment, at some point the researcher looks for a suitable analytical strategic decision modelling tool to progress the work before arriving at some inferences. However, a wrong selection of the tool for a specific problem can be counterproductive and mislead the hard research efforts. The fact is that for each research problem or situation, one must be judiciously select an analytical tool that is best suitable for it. Some illustrative examples using popular MCDM techniques (AHP, ANP, DEA, VIKOR, Fuzzy-AHP, GRA, TOPSIS,ELECTRE III and PROMETHEE) and discrete event simulation applications in manufacturing environment are included in the book to help the readers in tool selection by bridging the gap between theory and application. The book attempts to contain most of the contemporary analytical multi criteria decision making tools but giving exhaustive description for each tool is neither feasible nor the objective. The unique book can serve as a reference source for various academic courses, dissertations, research projects and assignments. The hypothetical & real-life case study based illustrative examples cited in the book are solved either through software or otherwise.

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