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Optimizing Performance Measurement Through Fuzzy Methods and Quality Techniques
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This book focuses on four key issues that are crucial to achieving productivity and sustainability in the circular supply chain management industry. These key topics are the elements of circular supply chain management, statistical techniques such as the design of experiments and statistical process control, well-known fuzzy techniques in the performance measurement analysis of circular supply chains, and the indicators of managing productivity and sustainability before and after implementing the model. Presenting a creative combination of fuzzy and statistical techniques on performance measurement in circular supply chain management, this book would be of interest to experts and technical managers who are responsible for implementing productivity and sustainability models within the organization as well as academics.
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Ramin Rostamkhani is a Ph.D candidate at the School of Management at Universiti Sains Malaysia (USM). He has more than 20 years of experience in quality engineering techniques. His main expertise is related to the application of quality engineering techniques and scientific approaches in supply chain management. He has recently researched circular supply chains regarding the application of fuzzy techniques as the main approach and statistical tools as the best facilitator.
Thurasamy Ramayah is a full Professor at the School of Management at Universiti Sains Malaysia (USM). He is a Professor in Technology Management whose focus of research is on technology adoption and usage in business and management using quantitative research methodology, especially the use of structural equation modeling. His mathematical approach to analyzing has had a strong impact on a better understanding of circular supply chain management dimensions.
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