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Eco-friendly multi-skilled worker assignment and assembly line balancing problem

Abstract : Workforce assignment and energy consumption impact greatly on the manufacturing performance. In this work, we study a multi-skilled worker assignment and assembly line balancing problem with the consideration of energy consumption. The problem consists of scheduling products and assigning workers to workstations appropriately under a given cycle time. Two objectives are minimized simultaneously, i.e., (1) the total costs including the processing cost and the fixed cost induced by employing workers, and (2) the energy consumption. A bi-objective mixed-integer linear programming model is formulated and an ϵ-constraint method is adopted to obtain the Pareto front for small-scale problems. For solving large-size problems, a processing time and energy consumption sorted-first rule (PT-EC SFR), a multi-objective genetic algorithm (NSGA-II) and a multi-objective simulated annealing method (MOSA) are developed. Numerical experiments are conducted and computational results show that the designed PT-EC SFR outperforms the other two algorithms in terms of computational time and quality of solutions.
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https://hal.archives-ouvertes.fr/hal-03015812
Contributor : Frédéric Davesne <>
Submitted on : Friday, November 20, 2020 - 9:40:21 AM
Last modification on : Saturday, November 21, 2020 - 3:32:27 AM

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Rongfan Liu, Ming Liu, Feng Chu, Feifeng Zheng, Chengbin Chu. Eco-friendly multi-skilled worker assignment and assembly line balancing problem. Computers and Industrial Engineering, Elsevier, In press, pp.106944. ⟨10.1016/j.cie.2020.106944⟩. ⟨hal-03015812⟩

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