Optimizing Performance Measurement Through Fuzzy Methods and Quality Techniques Rostamkhani, Ramin. creator author. aut http://id.loc.gov/vocabulary/relators/aut Ramayah, Thurasamy. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XV, 112 p. 60 illus. online resource. 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. 1. The Review of Main Concepts in the Book -- 2. The Framework of the Theoretical Research -- 3. Numerical Application in the Sample Organization -- 4. The Advantages and Achievements of the Book’s Model -- 5. The Perspective of Future Horizon for the Advanced Studies. by Ramin Rostamkhani, Thurasamy Ramayah. Business logistics Production management Statistics  Operations research Management science Supply Chain Management Operations Management Statistics in Business, Management, Economics, Finance, Insurance Operations Research, Management Science HD38.5 9789819747047 https://doi.org/10.1007/978-981-97-4704-7 https://doi.org/10.1007/978-981-97-4704-7 240822 20251030112912.0 978-981-97-4704-7