Multi-objective dynamic layout problems for unequal-area workshop facilities based on NSGA-II

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Abstract

Workshop facility layout is directly related to the reasonable flow of the logistics and information of the entire production system, which has a great impact on production capacity and safety. For multi-type and batch production systems, it is a critical and complex issue for research and investigation. The production mode of mass customization asks for the dynamic, multi-objective and multi-constraints specifications of the workshop facilities layout problem. In this study, a multiobjective dynamic optimization model is established based on three optimization objectives including the total cost (the materials handling cost and the rearrangement cost), non-logistics strength relationship and the required total area. In order to find Pareto solutions, an adaptive non-dominated sorting multi-objective genetic algorithm is designed for the specific model. Finally, a numerical example is applied to demonstrate that the proposed method is quite effective. © Springer-Verlag Berlin Heidelberg 2014.

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Song, X., Wang, Y., & Feng, C. (2014). Multi-objective dynamic layout problems for unequal-area workshop facilities based on NSGA-II. In Lecture Notes in Electrical Engineering (Vol. 242 LNEE, pp. 1511–1520). https://doi.org/10.1007/978-3-642-40081-0_129

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