Supply Chain Performance Measurement in Textile Enterprises

Provides detailed insight into supply chain management and performance measurement in the textile industry. Offers a comprehensive set of performance sub-criteria for the evaluation of supply chain performance measurement and elaborating on the practices of supply chain performance in identified textile industries.

Pranav C. Charkha, PhD, is working as Head and Dean Academics at Pimpri Chichwwad Education Trust’s Nutan Maharashtra Institute of Engineering and Technology, Maharashtra, India. He is also associated with the Indian Society of Technical Education, Institutions of Engineers, and Indian Institution of Industrial Engineering. His teaching interest areas are industrial engineering, computer-integrated manufacturing, manufacturing system integration, and management, supply chain management (elective course). His research areas are supply chain management, additive manufacturing, and world-class manufacturing for industry 4.0. He has published more than 30 research papers in international journals (Springer and Inderscience) and has presented papers at many international conferences. He has been awarded with three copyrights and has published two patents along with four submitted patents. He is a coordinator for the Center of Excellence (Maharashtra Region) of Visionary Learning Community of India (VLCI) for creating Visionary Leaders for Manufacturing (VLFM) (an initiative of CII and the Japanese International Cooperation Agency). He is also a facilitator for creating synergy between academic and industry, working on a project with the German Agency for International Cooperation (GIZ). He is actively also involved in various industry-linked initiatives for students.

Santosh B. Jaju, PhD, is presently working as Professor in the Department of Mechanical Engineering of G. H. Raisoni College of Engineering Maharashtra, India. He has more than 22 years of teaching experience. He has to his credit more than 100 research papers published in national and international journals and conferences as well as one book and six book chapters. He has attended more than 50 symposiums, short-term courses, training sessions, workshops, etc. He serves as an editorial board and reviewer for several international journal, and conferences. He is certified Lead Auditor of ISO 9001: 2008 Quality Management System by IRCA UK. He has guided more than 20 postgraduate dissertations, with for PhDs awarded, and with one student having submitted his thesis. He has filed six patents, and completed research projects for All India Council for Technical Education. He received a best teacher award given by the G. H. Raisoni College of Engineering for the year 2003-2004. He has also received a best case study award (nontraditional area) in the form of a silver medal from the National Council of the Indian Institution of Industrial Engineering. His research area includes quality cost, TQM, SCM, service quality, lean manufacturing, productivity improvement techniques and industrial engineering areas.

Prasenjit Chatterjee, PhD, is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 4100 citations and 120 research papers in various international journals and peer-reviewed conferences. He has authored and edited more than 25 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management, and sustainability modeling. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of Journal of Decision Analytics and Intelligent Computing. He has also been the Guest Editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is also the Lead Series Editor of Smart and Intelligent Computing in Engineering (Chapman and Hall/CRC Press); Founder and Lead Series Editor of Concise Introductions to AI and Data Science (Scrivener-Wiley); AAP Research Notes on Optimization and Decision Making Theories and Frontiers of Mechanical and Industrial Engineering (Apple Academic Press, co-published with CRC Press, Taylor and Francis Group); and River Publishers Series in Industrial Manufacturing and Systems Engineering. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).