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Evaluating the effectiveness of using lot-sizing rules to cope with MRP system nervousness

机译：评估使用批量规则应对MRP系统紧张的有效性

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摘要

Different lot-sizing algorithms lead to various lot sizes of planned orders in the materials requirements planning (MRP) schedule. With the 'built-in' protective stock of a majority of lot-sizing rules, small deviations in production schedules can be resolved by the extra inventories carried without modifying the due dates of open orders on the shop floor. Therefore, system nervousness in MRP systems can be reduced. The objective of this paper is to examine the effectiveness of using lotsizing rules to cope with MRP system nervousness under such operating environments as lead time uncertainty and demand variation by a simulation study. The results indicate that the conventional wisdom of using lot-for-lot at the end item level to reduce system nervousness works only in certain operating environments. It is found that such lot-sizing rules as part-period balancing and Silver-Meal algorithms perform well, in terms of total cost, and dampen system nervousness in most of the operating environments studied.
机译：在物料需求计划（MRP）计划中，不同的批量确定算法会导致计划订单的批量大小不同。利用大多数批量规则的“内置”保护库存，可以通过携带额外的库存来解决生产计划中的细微偏差，而无需修改车间未结订单的到期日期。因此，可以减少MRP系统中的系统紧张感。本文的目的是通过仿真研究来检验在诸如提前期不确定性和需求变化等操作环境下，使用批量规则应对MRP系统紧张的有效性。结果表明，仅在某些操作环境下，使用最终产品级别的批量交易来减少系统紧张感的常规做法就可以了。结果发现，在总成本方面，诸如部分周期平衡和Silver-Meal算法之类的批量调整规则在总成本方面表现良好，并且可以在大多数研究的操作环境中减轻系统紧张感。

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