No-Idle Flowshop Scheduling for Energy-Efficient Production: An Improved Optimization Framework

Chen-Yang Cheng, Shih-Wei Lin, Pourya Pourhejazy, Kuo-Ching Ying and Yu-Zhe Lin
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Chen-Yang Cheng: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan
Shih-Wei Lin: Department of Information Management, Chang Gung University, Taoyuan 333, Taiwan
Pourya Pourhejazy: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan
Kuo-Ching Ying: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan
Yu-Zhe Lin: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan

Mathematics, 2021, vol. 9, issue 12, 1-18

Abstract: Production environment in modern industries, like integrated circuits manufacturing, fiberglass processing, steelmaking, and ceramic frit, is characterized by zero idle-time between inbound and outbound jobs on every machine; this technical requirement improves energy efficiency, hence, has implications for cleaner production in other production situations. An exhaustive review of literature is first conducted to shed light on the development of no-idle flowshops. Considering the intractable nature of the problem, this research also develops an extended solution method for optimizing the Bi-objective No-Idle Permutation Flowshop Scheduling Problem (BNIPFSP). Extensive numerical tests and statistical analysis are conducted to evaluate the developed method, comparing it with the best-performing algorithm developed to solve the BNIPFSP. Overall, the proposed extension outperforms in terms of solution quality at the expense of a longer computational time. This research is concluded by providing suggestions for the future development of this understudied scheduling extension.

Keywords: production management; energy-efficiency; scheduling; no-idle flowshop; metaheuristics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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