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Article

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

by 1,†, 2,3,4,†, 1,†, 1,*,† and 1,5
1
Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan
2
Department of Information Management, Chang Gung University, Taoyuan 333, Taiwan
3
Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
4
Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 243, Taiwan
5
Taiwan Semiconductor Manufacturing Company Limited, Hsinchu Science Park, Hsinchu 30078, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work; Shih-Wei Lin is the co-first author.
Academic Editors: Chin-Chia Wu and Win-Chin Lin
Mathematics 2021, 9(12), 1335; https://doi.org/10.3390/math9121335
Received: 4 May 2021 / Revised: 5 June 2021 / Accepted: 7 June 2021 / Published: 9 June 2021
(This article belongs to the Special Issue Theoretical and Computational Research in Various Scheduling Models)
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. View Full-Text
Keywords: production management; energy-efficiency; scheduling; no-idle flowshop; metaheuristics production management; energy-efficiency; scheduling; no-idle flowshop; metaheuristics
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MDPI and ACS Style

Cheng, C.-Y.; Lin, S.-W.; Pourhejazy, P.; Ying, K.-C.; Lin, Y.-Z. No-Idle Flowshop Scheduling for Energy-Efficient Production: An Improved Optimization Framework. Mathematics 2021, 9, 1335. https://doi.org/10.3390/math9121335

AMA Style

Cheng C-Y, Lin S-W, Pourhejazy P, Ying K-C, Lin Y-Z. No-Idle Flowshop Scheduling for Energy-Efficient Production: An Improved Optimization Framework. Mathematics. 2021; 9(12):1335. https://doi.org/10.3390/math9121335

Chicago/Turabian Style

Cheng, Chen-Yang; Lin, Shih-Wei; Pourhejazy, Pourya; Ying, Kuo-Ching; Lin, Yu-Zhe. 2021. "No-Idle Flowshop Scheduling for Energy-Efficient Production: An Improved Optimization Framework" Mathematics 9, no. 12: 1335. https://doi.org/10.3390/math9121335

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