A Three-Machine Flowshop Scheduling Problem with Linear Fatigue Effect
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| Udgivet i: | Mathematics vol. 13, no. 22 (2025), p. 3670-3696 |
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| Andre forfattere: | , , , , , , , , |
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MDPI AG
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| Online adgang: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3275541940 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2227-7390 | ||
| 024 | 7 | |a 10.3390/math13223670 |2 doi | |
| 035 | |a 3275541940 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231533 |2 nlm | ||
| 100 | 1 | |a Xu, Weiping |u School of Management, Wuhan University of Technology, Wuhan 430074, China | |
| 245 | 1 | |a A Three-Machine Flowshop Scheduling Problem with Linear Fatigue Effect | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Highly customized requirements in smart manufacturing result in the unavoidable manual execution of complex operational procedures. Physical and mental fatigue from long work periods for assembly-line operators induces production issues, such as defective work-in-processes or equipment failure. An effective production schedule should account for worker fatigue. This study investigates a three-machine flowshop scheduling problem with the objective of makespan minimization, in which a linear fatigue effect function provides an approximate mathematical representation of fatigue and recovery processes in workers. A mixed integer programming (MIP) model is developed to optimize the integration of automated and human-operated production in manufacturing systems. Given its NP-hardness, an improved tabu search (ITS) algorithm is designed to obtain high-quality solutions, incorporating multiple initial solutions, a well-designed encoding-decoding strategy, and a tabu-based adaptive search mechanism to enhance efficiency. Numerical simulations indicate the veracity of the MIP model and the effectiveness of the ITS algorithm. | |
| 653 | |a Fatigue | ||
| 653 | |a Linear programming | ||
| 653 | |a Integer programming | ||
| 653 | |a Collaboration | ||
| 653 | |a Optimization | ||
| 653 | |a Production scheduling | ||
| 653 | |a Job shops | ||
| 653 | |a Automation | ||
| 653 | |a Manufacturing | ||
| 653 | |a Efficiency | ||
| 653 | |a Scheduling | ||
| 653 | |a Simulation | ||
| 653 | |a Operators (mathematics) | ||
| 653 | |a Tabu search | ||
| 653 | |a Effectiveness | ||
| 653 | |a Algorithms | ||
| 653 | |a Encoding-Decoding | ||
| 653 | |a Integrated approach | ||
| 653 | |a Mixed integer | ||
| 653 | |a Adaptive search techniques | ||
| 700 | 1 | |a Sun Zehou |u School of Management, Wuhan University of Technology, Wuhan 430074, China | |
| 700 | 1 | |a Ai Xiaotian |u Shenyang Aircraft Design and Research Institute, Shenyang 110854, China | |
| 700 | 1 | |a Zhao Baoyun |u Software College, Northeastern University, Shenyang 110819, China | |
| 700 | 1 | |a Lu, Jingyi |u Software College, Northeastern University, Shenyang 110819, China | |
| 700 | 1 | |a Zhou Hanyu |u Software College, Northeastern University, Shenyang 110819, China | |
| 700 | 1 | |a Mao Xinqi |u Software College, Northeastern University, Shenyang 110819, China | |
| 700 | 1 | |a Wen Xiaoling |u Shenyang Aircraft Design and Research Institute, Shenyang 110854, China | |
| 700 | 1 | |a Chin-Chia, Wu |u Department of Statistics, Feng Chia University, Taichung 40724, Taiwan; cchwu@fcu.edu.tw | |
| 700 | 1 | |a Liu, Shufeng |u Guobiao (Beijing) Testing & Certification Co., Ltd., Beijing 101407, China | |
| 773 | 0 | |t Mathematics |g vol. 13, no. 22 (2025), p. 3670-3696 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3275541940/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3275541940/fulltextwithgraphics/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3275541940/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |