A genetic algorithm-based robust approach for type-II U-shaped assembly line balancing problem
by Guangyue Jia; Honghui Zhan; Yunfang Peng
International Journal of Innovative Computing and Applications (IJICA), Vol. 13, No. 5/6, 2022

Abstract: U-shaped assembly lines are widely used to implement just-in-time manufacturing. U-shaped assembly line balancing problem is important to improve productivity. Most of the studies ignore uncertainty such as operation times. This study applies robust optimisation method to deal with type-II U-shaped assembly line balancing problem (UALBP-2) under uncertainty. A mathematical programming model is proposed with interval task operation times, and a genetic algorithm is developed to deal with it. A robust solution is defined as the most frequent solution falling within a pre-specified percentage of the optimal solution for different sets of scenarios. The experimental results are compared with the expected solution to verify the feasibility and effectiveness of the robust method.

Online publication date: Mon, 23-Jan-2023

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