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A Comparison of DRP and TOC Customer Service Performance Within A Multi-Product, Multi-Echelon Physical Distribution Environment

机译:多产品,多级物流环境中DRP和TOC客户服务绩效的比较

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This paper propositioned and tested whether a Theory of Constraints heuristic could improve customer service performance beyond traditional methods in a multi-product, multi-echelon physical distribution environment exhibiting seasonality and partial lost sales. Field research was conducted to capture the structure of a multi-echelon physical distribution system, facilitating development of a baseline computer simulation of a fully distributed inventory system with orders planned by DRP. That model became the basis for development of comparative models, one employing partial centralization of inventory with orders planned by DRP, two models employing TOC-based heuristics for buffering and replenishment. Simulation results find the TOC system more effective than either the distributed or the partially centralized multi-echelon system when orders are based on DRP.
机译:本文提出并测试了一种约束启发式理论是否可以在表现出季节性和部分销售损失的多产品,多梯级物流环境中提高客户服务性能,使其超越传统方法。进行了现场研究,以捕获多级物流系统的结构,从而促进了对具有DRP计划的订单的完全分布式库存系统的基准计算机仿真的开发。该模型成为开发比较模型的基础,一个模型使用DRP计划的订单部分集中库存,两个模型使用基于TOC的启发式方法进行缓冲和补货。仿真结果发现,当基于DRP的订单时,TOC系统比分布式或部分集中式多级系统更有效。

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