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Multi-objective scheduling for complex assembly shops considering multiple human factors
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DOI：10.1016/j.cie.2025.111773.png)
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Abstract
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• An assembly shop scheduling problem is proposed that combines hybrid flow shop scheduling problem and the worker allocation problem. • A comprehensive set of human factors, including workers’ skill proficiency, fatigue levels, interpersonal dynamics, and work experience, is incorporated into the assembly scheduling framework. • An integer programming model is established with the optimization objectives of makespan, transport time, total waiting time and imbalance degree of team workload. • An improved NSGA-II that improved the evolution process and initial population by a destruction-reconstruction strategy is proposed.
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