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首页> 外文期刊>International Journal of Logistics: Research and Applications >A multi-objective model for lot-sizing with supplier selection for an assembly system
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A multi-objective model for lot-sizing with supplier selection for an assembly system

机译:用于装配系统的供应商选择的多目标模型

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Lot-sizing with supplier selection (LS-SS) is a fast-growing offspring of two major problem parents in logistics and supply chain management ('lot-sizing' and 'supplier selection'). The model proposed in this paper is an attempt to extend it to an assembly system, by formulating a multi-objective model for an integrative problem of LS-SS for assembly items. The total costs of the system, consisting of purchasing, ordering, transportation, assembly, and holding, is considered the first objective function, while the total reliability of the finished products is considered the second objective function. The decision-maker aims to minimise the total costs while maximising the total reliability. Several constraints of the system (e.g. storage capacity, supplier production capacity) are taken into account. Given the complexity of the model, a heuristic evolutionary algorithm is proposed to solve the model. The results indicate which assembly items to order in which quantities, from which suppliers and in which time periods.
机译:带有供应商选择的批量确定(LS-SS)是物流和供应链管理中两个主要问题父母(“批量确定”和“供应商选择”)的快速增长的后代。本文提出的模型是通过针对装配项目的LS-SS集成问题制定多目标模型,试图将其扩展到装配系统。系统的总成本,包括采购,订购,运输,组装和保存,被认为是第一目标函数,而成品的总可靠性被认为是第二目标函数。决策者旨在最大程度地降低总成本,同时最大程度地提高总可靠性。考虑了系统的几个限制条件(例如存储能力,供应商生产能力)。考虑到模型的复杂性,提出了一种启发式进化算法来求解模型。结果表明要订购哪些装配项目,订购多少数量,从哪个供应商以及在哪个时间段。

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