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Implementation of Lean and Logistics Principles to Reduce Non-conformities of a Warehouse in the Metalworking Industry

机译:实施精益与物流原则,以减少金属加工行业仓库的不合格

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The main objective of the work is to analyze the problem of non-conforming products in the warehouse, which affects delivery on time and perfect orders, directly impacting the OTIF (On Time, In Full) logistics indicator of manufacturing companies in Peru. For this reason, the analysis was carried out in XY, which accounts for 64.03% of non-conforming parts, composed of reprocessed products (72.93%) and discarded (27.07%), which causes costs to increase to $ 347,234.67. This is due to the following causes: Dispatch of unsolicited products (35.88%), damaged products (35.68%), fictitious stock (17.94%) and delay in dispatch (10.94%). To reduce the impact of the problem, Lean Warehousing, slooting and wave picking techniques were used; and 5S developing the model with the PDCA methodology, using VSM for the analysis of the flow of activities and measurement of the identified indicators. After the implementation of the model, the process time was reduced by 19.12%. The distance traveled to prepare an order was reduced from 244.5 meters to 173.5 meters; and an OTIF value increased by 44.33%. The output of the model provides an example for potential application in warehouses of companies in the manufacturing industry.
机译:这项工作的主要目标是分析仓库中不合格产品的问题,这影响了按时交货和完善的订单,直接影响秘鲁制造公司的OTIF(全部,全部)物流指标。因此,分析在XY中进行,占64.03%的非符合零件,由后处理产品(72.93%)组成并丢弃(27.07%),这导致成本增加到347,234.67美元。这是由于以下原因:派遣未经请求的产品(35.88%),损坏的产品(35.68%),虚拟库存(17.94%)和拨款延迟(10.94%)。为了减少问题的影响,使用了精益仓储,抛弃和波采摘技术; 5S使用PDCA方法开发模型,使用VSM用于分析活动流程和确定指标的测量。在实施模型后,过程时间减少了19.12%。准备订单的距离从244.5米降至173.5米;并且OTIF值增加了44.33%。该模型的输出提供了一个例子,用于制造业公司仓库潜在应用。

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