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Applicability of Demand-Driven MRP in a complex manufacturing environment

机译:需求驱动MRP在复杂的制造环境中的适用性

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Push and pull methods have been adopted for specific volume production and uncertainty scenarios in order to plan and control production. The further development of hybrid or integrated methods allows benefit to be drawn from opposing approaches. The literature concerning Demand-Driven Material Requirements Planning (DDMRP) proves its superiority under conditions of internal and external uncertainty for high-volume production compared to the most implemented push method (manufacturing requirements planning MRPII). Companies that have adopted this method, manufacture on average 10-15 parts per product, with 2 or 3 levels of bills of materials. In this paper, we evaluate the applicability of DDMRP in a complex manufacturing environment (e.g. products of four levels of bill of materials) in terms of customer satisfaction and stock levels. Buffered and non-buffered items clustered in seven types of decoupling structures contributed to this complexity. We developed a DDMRP model for planning and execution purposes, which was simulated in ARENA's discrete events software. We analysed the model's on-hand stock and delayed orders. DDMRP works effectively under the manufacturing conditions considered. It is found to prevent inventory stockouts and overstocks, reduce lead time by 41% and reduce stock levels by 18%. The success of this method; however, depends on the strategic positioning of the buffers.
机译:已经采用了用于规划和控制生产的特定批量生产和不确定性方案的推挽方法。杂种或综合方法的进一步发展允许从对立方法中汲取福利。关于需求驱动的材料需求计划(DDMRP)的文献证明其在高批量生产条件下的优越性与最具最具实施的推送方法(制造要求MRPII)相比,高批量生产。采用此方法的公司平均每种产品制造10-15份,具有2或3级材料。在本文中,我们在客户满意度和股票水平方面评估了DDMRP在复杂的制造环境中的适用性(例如,材料四级材料的产品)。缓冲和非缓冲项目聚集在七种类型的去耦结构中,促成了这种复杂性。我们开发了一个用于规划和执行目的的DDMRP模型,它在竞技场的离散事件软件中模拟。我们分析了模型的股票库存和延迟订单。 DDMRP在考虑的制造条件下有效地工作。有人发现,防止库存放置和积压,减少了延长时间41%,减少股票水平18%。这种方法的成功;但是,取决于缓冲区的战略定位。

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