Industrial Engineering and Operation Management: Application of Decision Making Techniques

Contents: 1. Vendor evaluation in SCM through AHP and VIKOR technique. 2. Fuzzy-AHP based approach for supplier evaluation and Selection.  3. Analytic Network Process (ANP) Approach for Green Supplier Selection in Supply Chain Management. 4. Modeling the Barriers of Green Supply Chain Practices: An Interpretive Structural Modeling(ISM) Approach. 5. Application of Data Envelopment Analysis (DEA) for Performance Evaluation of Suppliers and Manufacturer. 6. Application of AHP-GRA Based Hybrid Approach for Green Global Manufacturing Strategy. 7. Evaluation of Remanufacturing Strategies for (EOL)/Used Cell Phones: ANP and Balanced Scorecard Approach. 8. Decision Support System Based on MCDM Techniques for Flexible Manufacturing System (FMS) Evaluation. 9. Design of Forward and Reverse Supply Chain Networks: A Simulation Based Approach. 10. Simulation Modeling of AGVs Based Production System in Job-Shop Manufacturing Environment. Bibliography. Subject Index.

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 and real-life case study based illustrative examples cited in the book are solved either through software or otherwise.