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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >A robust optimisation model for generalised cell formation problem considering machine layout and supplier selection
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A robust optimisation model for generalised cell formation problem considering machine layout and supplier selection

机译：考虑机器布局和供应商选择的广义单元形成问题的鲁棒优化模型

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摘要

Cell formation problem (CFP), as one of the most important decision-making problems in designing a cellular manufacturing system (CMS), includes grouping the machines in cells and the parts as part families. In CFP, machines and their capacity are of the most important issues being considered carefully. Another significant aspect of the problem is material handling costs, namely intercellular and intracellular movement costs with respect to machines layout. On the other hand, supplier selection process has acquired importance recently; this is mainly because the raw material cost has a major share in total cost of final products and most of the factories have to spend substantial amount of their resources on purchasing and transportation. In this article, a new mixed integer linear programming model is proposed for integrating procurement and production planning in supply chain and design of cell formation simultaneously as well as the imprecise nature of some critical parameters such as customer demands and machine capacities. Then, a robust optimisation model is developed to solve the proposed model and finding best solution. The robustness and effectiveness of the proposed model are illustrated in an industrial case inspired form a typical equipment manufacturer.
机译：作为设计蜂窝制造系统（CMS）时最重要的决策问题之一，单元形成问题（CFP）包括将单元中的机器和零件分为零件族。在CFP中，机器及其容量是需要仔细考虑的最重要问题。该问题的另一个重要方面是材料处理成本，即相对于机器布局的细胞间和细胞内移动成本。另一方面，供应商选择过程最近变得越来越重要。这主要是因为原材料成本在最终产品的总成本中占主要份额，并且大多数工厂不得不将大量资源用于采购和运输。在本文中，提出了一种新的混合整数线性规划模型，该模型用于将供应链中的采购和生产计划集成在一起，同时进行单元形成设计以及某些关键参数（如客户需求和机器容量）的不精确性。然后，开发了鲁棒的优化模型来解决所提出的模型并找到最佳解决方案。在典型设备制造商的启发下，在工业案例中说明了所提出模型的鲁棒性和有效性。

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