Abstract
Cellular layout includes inter-cell and intra-cell layouts. This paper presented a multi-objective-integrated optimization model that minimizes the total material handling distance and the area of the cellular layout. To avoid the decrease of the solution set of cellular layout problem by solving the inter-cell and intra-cell layouts separately, the proposed model solves the two steps simultaneously. To handle the complexity confronted with the large-scale model, a structured real-code cooperative particle swarm optimization (CPSO) was proposed, the particles were divided into genic particles and non-genic particles, operations of genetic algorithm (GA) were applied on the two kinds of particles, and the performance of the particle swarm optimization was improved largely. Simulation experiment verified the validity of the model and algorithm.
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Zheng, Y., Ding, K., Cen, K. (2015). An Approach to Integrated Cellular Layout Design Based on Logistics Cost Optimization. In: Proceedings of China Modern Logistics Engineering. Lecture Notes in Electrical Engineering, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44674-4_6
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DOI: https://doi.org/10.1007/978-3-662-44674-4_6
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