Service Level Optimization Using ABC Distribution, Forecasts and the Packaging and Stowage Model through Lean Warehousing at a SME Marketing Company

Arnold Villacrez-Zelada, Jorge Liñer-Hernandez, Gino Viacava-Campos
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Abstract

The commercial performance of a company is measured according to the service level of meeting its customer demand. In the case of Small and Medium-sized Enterprises (SMEs) focusing on distribution and marketing, this is directly associated with proper inventory and warehouse management, since their main processes and activities are developed in this area. This case study focuses on the application of the Lean Warehousing methodology through Demand Forecasting, Inventory Policies, and the improvement of the Picking and Packaging processes to increase service levels, based on the Perfect Order indicators at a SME retailer. The assessment analysis denoted that the current service level of the company was at 87.31%. This happens because some orders of the XYZ brand are not fulfilled correctly, which has generated costs for penalties and rejections at 11.04% of the annual turnover of the main products from this brand in 2019. It is expected that, with this methodology, the company's service level will reach at least 95%, which is the minimum to be in suitable conditions to satisfy customer requirements.
基于ABC配送、预测和包装积载模型的服务水平优化——以某中小型营销公司为例
公司的商业绩效是根据满足客户需求的服务水平来衡量的。就集中于分销和销售的中小型企业而言,这与适当的库存和仓库管理直接相关,因为它们的主要过程和活动是在这一领域发展起来的。本案例研究的重点是精益仓储方法的应用,通过需求预测,库存政策,改进拣选和包装过程,以提高服务水平,基于完美订单指标在中小企业零售商。评估分析表明,公司目前的服务水平为87.31%。这是因为XYZ品牌的一些订单没有正确完成,这产生了罚款和拒收的成本,占2019年该品牌主要产品年营业额的11.04%。期望通过这种方法,公司的服务水平至少达到95%,这是在合适的条件下满足顾客要求的最低要求。
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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