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CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING

机译:集中式与分散式生产计划

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摘要

In the course of globalization, many enterprises change their strategies and are coupled in partnerships with suppliers, subcontractors and customers. This coupling forms supply chains comprising several geographically distributed production facilities. Production planning in a supply chain is a complicated and difficult task, as it has to be optimal both for the local manufacturing units and for the whole supply chain network. In this paper two analytical models are used to solve the production planning problem in supply chain involving several enterprises. Generally in practice, for competitive and/or practical reasons, frequently each enterprise prefers to optimize its production plan with little care about the other members of the supply chain. This case is presented through a simple model of decentralized optimization. The aim of this study is to analyze and compare the two types of optimization: centralized and decentralized. The initial question is: what are the profit and the optimal policy of global (centralized) optimization in contrast to local (decentralized)? We characterize this gain by comparing the optimal profits obtained in both cases.
机译:在全球化过程中,许多企业改变了战略,并与供应商,分包商和客户建立了伙伴关系。这种耦合形成了包括几个地理分布的生产设施的供应链。供应链中的生产计划是一项复杂而艰巨的任务,因为它对于本地制造单位和整个供应链网络都必须是最佳的。本文采用两种分析模型来解决涉及多家企业的供应链中的生产计划问题。通常,在实践中,出于竞争和/或实践原因,每个企业经常倾向于在几乎不关心供应链其他成员的情况下优化其生产计划。通过分散优化的简单模型来介绍这种情况。本研究的目的是分析和比较两种优化:集中式和分散式。最初的问题是:与局部(分散)相比,全局(集中)优化的利润和最优策略是什么?我们通过比较两种情况下获得的最佳利润来表征这种收益。

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