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Multi-Criteria Decision Modelling Applicational Techniques and Case Studies Science, Technology, and Management Series

Langue : Anglais

Coordonnateurs : Sindhwani Rahul, Singh Punj Lata, Kumar Bhawna, Mittal Varinder Kumar, Davim J. Paulo

Couverture de l’ouvrage Multi-Criteria Decision Modelling

This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets.

Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use of sensitivity analysis and modelling and includes case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the utilization of MCDM to a variety of situations. The book deliberates ways for companies to use these methods to their advantage in order to achieve sustainability. Furthermore, it also presents an overview of the major streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization.

FEATURES

  • Offers a stepwise comprehensive methodology for the application of MCDM to a variety of situations
  • Presents an overview of the major streams of thought present in the MCDM technique
  • Provides a holistic view of the latest research and development trends in the emerging markets in terms of modelling and optimization using MCDM for different industrial sectors
  • Illuminates a practical foundation in order to provide a guide to address the problems of emerging markets
  • Enlightens the ways for companies to use these methods to their advantage to be able to achieve sustainability

This book is a guide for those performing decision analysis for academic purposes as well as for researchers aspiring to expand their knowledge on MCDM problem solving.

1. Structural Modelling for the Factors of Facility Management in the Healthcare Industry Using the TISM Approach 2. Assessment of Optimum Automotive Brake Friction Formula by Entropy‐VIKOR Technique 3. Ranking of Phase Change Materials for Medium Temperature Thermal Energy Accumulation System Using Shannon Entropy, TOPSIS, and VIKOR Methods 4. Identification and Analysis of Enablers of Socially Sustainable SMEs Using the MCDM Approach 5. Application of the MCDM Technique for an Astute Decision-Making Process in the Renewable Energy Sector 6. Assessing Challenges in the Implementation of Sustainable Human Resource Management Using the Fuzzy DEMATEL Approach 7. A Novel Entropy Measure for Linguistic Intuitionistic Fuzzy Sets and Their Application in Decision-Making 8. An Insight into Decision-Making Using the Fuzzy Analytic Hierarchy Process (FAHP) 9. Application of the Fuzzy Analytic Hierarchy Process for Solar Panel Vendor Selection 10. Using Multi‐Criteria Decision‐Analysis to Build a Long-Term Business Strategy 11. Systematic Review and Deliberation of Various Multi‐Criteria Decision-Making Techniques

Professional and Undergraduate Advanced

Rahul Sindhwani received his Ph.D. degree in Industrial Engineering & Management in 2017, M.Tech. degree in Mechanical Engineering with distinction and Gold Medal in 2010, B.Tech. degree in Mechanical Engineering in 2008, from Kurukshetra University, India. Currently, he is an Assistant Professor in the Mechanical Engineering Department, Amity University, Uttar Pradesh, India. He is an active lifetime member of the Indian Society of Technical Education and a fellow member of Institution of Engineering and Technology. He is having teaching, research, and administrative experience of more than10 years. He has contributed more than 25 research papers/ book chapters in the area of industrial engineering and management in various national/ international journals of repute. His area of expertise is industrial engineering and management, supply chain management, lean, green and agile manufacturing system along with analysis of problems using various optimization techniques.

Punj Lata Singh is an Assistant Professor in the Department of Civil Engineering (CE), Amity School of Engineering and Technology (ASET), Amity University Uttar Pradesh (AUUP), Noida, India. She earned her M.Tech. in Fluid Engineering from MNNIT, Allahabad, India in 2010 and B.Tech. in Mechanical Engineering from UPTU, Lucknow, India in 2006. She has teaching, research and administrative experience of more than10 years. She is an active life-time member of Indian Society of Technical Education. As an academician, she introduced her career and then entwined with pursuing as a researcher and instructor in the fields of engineering and technology. She has been actively associated with organizing and attending several National and International Conferences and published many research papers in the area of thermal engineering, industrial engineering and management in various international journals of repute with her area of interest is Fluids Engineering, Industrial Eng