IMPLEMENTING PERIODIC REVIEW – VARIABLE ORDER QUANTITY SYSTEM IN INVENTORY MANAGEMENT: A CASE STUDY HEAVY EQUIPMENT COMPANIES, KUTAI BARAT

Anggi Febrianto, T. D. Sofianti, G. Baskoro
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Abstract

One of the processes to minimize downtime unit is the availability of good spare parts. In this study, we will discuss how the process of developing reorder quantity procedures in order to get the availability of spare parts is quite good. in this study, the desired goal is the result of the researcher at 90%. The DMAIC method is used in this study to improve the existing processes in the reordering point. Periodic review with demand fluctuations, vendors holding stock, and inspection programs is an implementation carried out in the inventory process in order to get the availability of slow-moving spare parts, fast-moving spare parts, and spare parts that are monitored for damage. The results obtained are reordering quantity using Inspection which contributes 13% and casting using holding stock vendors based on customer brainstorming contributed 38% while the forgetfulness made by the distributor with periodic review modeling system contributed 43% so the accuracy of the prediction in January was 94% this support is greater than 2021, which is 88%, so there is an increase of 6% and a reduction in the delay time for repairs from 2021, the average order delay is 5.5 days to an order delay of 3.9 days.
库台巴拉特重型设备公司在库存管理中实施定期审查-可变订单数量制度的案例研究
最大限度地减少停机时间的方法之一是提供良好的备件。在本研究中,我们将讨论如何制定再订购数量程序,以获得备件的可用性是相当好的。在这项研究中,期望的目标是研究人员在90%的结果。本研究采用DMAIC方法对重排序点的现有流程进行改进。定期审查需求波动,供应商持有库存和检查程序是在库存过程中进行的一项实施,以获得慢速备件,快速备件和监测损坏的备件的可用性。所获得的结果是,使用Inspection重新订购数量贡献了13%,使用holding stock供应商基于客户头脑风暴贡献了38%,而分销商使用定期审查建模系统造成的遗忘贡献了43%,因此1月份预测的准确性为94%,这一支持大于2021年的88%,因此从2021年起,维修延迟时间增加了6%,减少了。平均订单延迟为5.5天至3.9天。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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