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Two-Stage Inter-Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms

机译:基于蚁群算法的蜂窝制造两阶段小区间布局设计

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Facility layout planning plays an important role in the manufacturing process and seriously impacts a company's profitability. A well-planned layout can significantly reduce the total material handling cost. The purpose of this paper is to develop a two-stage inter-cell layout optimization approach by using one of the popular meta-heuristics — the Ant Colony Optimization algorithm. At the first stage, the cells are formed based on the part-machine clustering results obtained through the ant system algorithm. In other words, we get the initial inter-cell layout after this stage. The work at the second stage uses a hybrid ant system algorithm to improve the solution obtained at previous stage. Different performance measures are also employed in this paper to evaluate the results.
机译:工厂布局规划在制造过程中起着重要作用,并严重影响公司的盈利能力。精心计划的布局可以大大降低总的物料搬运成本。本文的目的是通过使用一种流行的元启发式算法-蚁群优化算法,开发一种两阶段的小区间布局优化方法。在第一阶段,基于通过蚂蚁系统算法获得的零件机聚类结果形成单元。换句话说,在此阶段之后,我们得到了初始的小区间布局。第二阶段的工作使用混合蚂蚁系统算法来改进前一阶段获得的解决方案。本文还采用了不同的性能指标来评估结果。

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