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ABSTRACT
This study develops a fuzzy multi-objective linear programming (FMOLP) model with an interactive two-phase possibilistic linear programming (ITPPLP) approach for solving remanufacturing production system problems with multiple goals in a fuzzy environment. Because the related parameters are imprecise/fuzzy in nature, a triangular possibility distribution can be used. The proposed model aims to simultaneously minimize total production costs and total lead time, while integrating multiple suppliers, multiple components, multiple time periods, and multiple machines to realize a remanufacturing production system. An air-conditioning compressor case was used to test the proposed models. The analytical results presented in this work will allow decision-making managers to better understand the systematic analysis, potential for cost-effectiveness and lead time of recoverable remanufacturing planning.
Acknowledgments
The authors would like to thank the National Science Council of the Republic of China, Taiwan for financially/partially supporting this research under Contract No. MOST 107-2221-E-020-017.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Funding
Notes on contributors
Tai-Sheng Su
Tai-Sheng Su is an associate professor in the Department of Industrial Management at National Pingtung University of Science and Technology in Taiwan, ROC. He received a PhD in the Department of Industrial Engineering and Management from National Chiao Tung University in Taiwan. His research areas include production management, operations management, and logistics management. He has published articles in Computers & Industrial Engineering, International Journal of Production Research, and Journal of Manufacturing Systems.
Sian-Ru Ciou
Sian-Ru Ciou is a Master’s student in the Department of Industrial Management at National Pingtung University of Science and Technology in Taiwan. His research areas include supply chain management and production management.