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Integrated planning in a multi-site procurement, production and distribution system under rolling schedule

机译:按滚动计划在多站点采购,生产和分销系统中进行综合计划

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This paper develops a mixed integer programming model for integrated planning of multi-site procurement, production and distribution system at aggregate and detailed levels under a rolling schedule in the context of a multinational consumer goods company. The model considers a trade-off among plan change cost or nervousness cost, safety stock (service level) violation penalty to a given customer service level, inventory carrying cost, external storage cost and transportation cost, limitations of storage space, raw material availability and production capacity. The model was applied to 100 randomly generated industry size problem instances involving 18,450 variables including 832 integer variables and 5,347 constraints. With an imposed limit of 300 seconds of CPU time on an integer programming solver, solution of the model yielded average gap of 0.43% for these problems.
机译:本文建立了一个混合整数规划模型,用于在跨国消费品公司的背景下按滚动计划在总体和详细级别上进行多站点采购,生产和分销系统的集成规划。该模型考虑了计划变更成本或紧张程度成本,对给定客户服务水平的安全库存(服务水平)违规罚款,库存账面成本,外部存储成本和运输成本,存储空间的局限性,原材料可用性和成本之间的权衡。生产能力。该模型被应用于100个随机生成的行业规模问题实例,其中涉及18450个变量,其中包括832个整数变量和5347个约束。在整数编程求解器上施加300秒的CPU时间限制后,该模型的解决方案针对这些问题的平均差距为0.43%。

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