Decision-Making Models and Applications in Manufacturing Environments
eBook - ePub

Decision-Making Models and Applications in Manufacturing Environments

  1. 496 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Decision-Making Models and Applications in Manufacturing Environments

About this book

Multi-criteria decision-making (MCDM) has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices.This new volume applies the MCDM theory to solving problems and challenges in manufacturing environments. It discusses using MCDM computational methods to evaluate and select the most optimal solution or method for real-world, real-time manufacutring engineering issues. It details the decision-making process in relation materials selection; identification, assessment, and evaluation of risk; sustainability assessment; selection of green suppliers; and more.

The chapter authors demonstrate the application of myriad MCDM techniques in decision-making, including MADM (multiple attribute decision-making), DEA (data envelopment analysis), fuzzy TOPSIS (technique for order preference by similarities to ideal solution), fuzzy-VIKOR (multicriteria optimization and compromise solution); MOORA (multi-objective optimization on the basis of ratio analysis), EWM (entropy weight method), (AHP) analytic hierarchy process, TODIM (TOmada de Decisao Interativa Multicriterio), and others. The volume illustrates these MCDM models in several industries and industrial processes, including for experimental analysis and optimization of drilling of glass fiber reinforced plastic, in the textile industries, for selection of refrigerants for domestic applications, and others.

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Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. About the Book Series: Aap Research Notes On Optimization and Decision-Making Theories
  7. About the Editors
  8. Contents
  9. Contributors
  10. Abbreviations
  11. Acknowledgments
  12. Preface
  13. Chapter 1 MCDM, DEA, and Their Relationship in Materials Selection
  14. Chapter 2 Identification, Assessment, and Evaluation of Risk in Various Manufacturing Industries
  15. Chapter 3 Experimental Analysis and Optimization of Drilling of Glass Fiber Reinforced Plastics Composites Using Madm Methodology: Utility Concept
  16. Chapter 4 Identification of Problems and Their Prioritization in the Textile Industries Using Madm Techniques: Fuzzy-Topsis and Fuzzy-Vikor Methods
  17. Chapter 5 Selection of Refrigerants for Domestic Applications Using Madm Techniques
  18. Chapter 6 Comparative Study of Mcdm Techniques: Topsis, Vikor, and Moora Methods Integrated With Ewm Method for Vendor Selection for Manufacturing Industry
  19. Chapter 7 Selection of Cutting Fluids for Machining Titanium Alloys Using MCDM Methods
  20. Chapter 8 Decision-Making Framework for Sustainability Assessment of Manufacturing
  21. Chapter 9 Aras-Based Selection of Optimal Specimen among PRPs and Its Validation Using MVGFD
  22. Chapter 10 Optimization of PMEDM Process Parameters for MRR, TWR, RA, and HV Using Taguchi Method and Grey Relational Analysis for Die Steel Materials
  23. Chapter 11 Selection of Optimal Rapid Prototyping Process Using Multi-Variant Mcdm-Based Approaches
  24. Chapter 12 an Investigation into the Effect Of Criteria Interaction on the Tomada De Decisao Interativa Multicriterio (Todim) Method
  25. Chapter 13 Selection of Air-Conditioning System via Value Engineering Management Tool
  26. Chapter 14 on the Comparison of Mcdm Techniques for the Selection Of Polymer-Based Additive Manufacturing Processes
  27. Chapter 15 Strength Analysis of Vibratory Friction Stir Welded Aa 2024 and Aa 7075 Dissimilar Metals
  28. Chapter 16 Performance Evaluation of Conveyors through Fuzzy Ahp-Based Fuzzy Grey Theory Analysis Under Mcdm Environment
  29. Chapter 17 An Innovative Computational Approach for Processing and Characterization of Polymer Welding
  30. Chapter 18 Performance Analysis of Material Handling Device Using Integrated Copras-G and Fuzzy Ahp
  31. Chapter 19 Role of Iot, Big Data, and Ai in Manufacturing and Industrial Sectors during Covid-19 Pandemic: An Ism Approach
  32. Chapter 20 An Ism Approach among the Key Factors of Scm for Industry 4.0 Towards Sustainability in Indian Manufacturing Sectors
  33. Chapter 21 Selection of Green Supplier Using Integrated Multi-Criteria Optimization Method: With Special Reference to Plastic Extrusion and Vacuum Forming Companies in India
  34. Index

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Yes, you can access Decision-Making Models and Applications in Manufacturing Environments by Pushpdant Jain, Kumar Abhishek, Prasenjit Chatterjee, Pushpdant Jain,Kumar Abhishek,Prasenjit Chatterjee in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Industrial Engineering. We have over one million books available in our catalogue for you to explore.