大规模定制物流服务订单分配的混合整数线性规划模型

C. N. Rosyidi, Nina Salsabila Sulistiani, P. W. Laksono
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引用次数: 0

摘要

在日益激烈的商业竞争中,企业必须通过更多地关注供应链管理来提高竞争力。供应链中的一个关键问题是订单分配问题。越来越多的企业开始采用大规模定制物流服务(MCLS)模式,以尽可能低的成本确定供应商订单和定制物流服务的最佳分配。为此,需要第三方提供物流服务,即LSI (logistics Service Integrator)。然而,由于LSI不能满足所有客户的需求,LSI选择将物流任务外包给功能性物流服务提供商(FLSP)。本研究旨在帮助制造企业决策者在大规模定制物流服务(MCLS)中做出订单分配的最优决策,使供应链总成本最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Mixed Integer Linear Programming Model of Order Allocation Involving Mass Customization Logistic Service (MCLS)
In an increasing business competition, a company has to improve its competitiveness by focus more on supply chain management. One of the crucial problems in supply chain deals with the allocation of orders. More and more companies are starting to adoptMass Customization Logistics Service (MCLS) mode to determine the optimal allocations of order both from suppliers and to customized logistics services at the possible lowest cost. For this purpose, a third party is needed, namely Logistic Service Integrator (LSI) in providing logistics services. However, since LSI cannot meet all customer needs, LSI chooses to outsource logistics tasks to a Functional Logistics Service Provider (FLSP). This research was developed to help decision-makers ofmanufacturing companies in making optimal decision concerning order allocations that minimize the total supply chain costs involving Mass Customization Logistics Service (MCLS).
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