A Three-Machine Flowshop Scheduling Problem with Linear Fatigue Effect
Weiping Xu,
Zehou Sun,
Xiaotian Ai (),
Baoyun Zhao,
Jingyi Lu,
Hanyu Zhou,
Xinqi Mao,
Xiaoling Wen,
Chin-Chia Wu and
Shufeng Liu ()
Additional contact information
Weiping Xu: School of Management, Wuhan University of Technology, Wuhan 430074, China
Zehou Sun: School of Management, Wuhan University of Technology, Wuhan 430074, China
Xiaotian Ai: Shenyang Aircraft Design and Research Institute, Shenyang 110854, China
Baoyun Zhao: Software College, Northeastern University, Shenyang 110819, China
Jingyi Lu: Software College, Northeastern University, Shenyang 110819, China
Hanyu Zhou: Software College, Northeastern University, Shenyang 110819, China
Xinqi Mao: Software College, Northeastern University, Shenyang 110819, China
Xiaoling Wen: Shenyang Aircraft Design and Research Institute, Shenyang 110854, China
Chin-Chia Wu: Department of Statistics, Feng Chia University, Taichung 40724, Taiwan
Shufeng Liu: Guobiao (Beijing) Testing & Certification Co., Ltd., Beijing 101407, China
Mathematics, 2025, vol. 13, issue 22, 1-26
Abstract:
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.
Keywords: flow shop scheduling; fatigue effect; tabu search; makespan; fatigue phase; rest phase (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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