Product-based service level fulfillment in a limited reporting period in case of stochastic demand and rolling schedules

在随机需求和滚动计划的情况下，在有限的报告期内实现基于产品的服务水平

• 批准号: 397637775
• 负责人: Professor Dr. Hartmut Stadtler
• 金额: --
• 依托单位: Chair of Logistics and Supply Chain Management
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/397637775?language=en
• 关键词: Product; based; service; level; fulfillment

Meeting delivery dates is a major success factor in today´s competition. A contract be-tween a supplier and a buyer, a so called service-level agreement, usually contains provisions for keeping and controlling agreed service levels over a limited reporting pe-riod (e.g. a quarter). Violating these service levels often results in loss of good will, pen-alty costs, loss of future sales volume, or even the termination of the supply relationship. A well-known performance indicator for measuring and controlling on time delivery is the fill rate. In view of these new challenges the question is:Do today´s planning systems adequately support decision makers in meeting given tar-get fill rates while keeping costs low? According to simulation experiments by Thomas (2005) we know that in case of stochastic demand the fill rate realized over a limited reporting period may fall below given target fill rates substantially if the usual static safety stocks are employed. Hence, we propose dynamic safety stocks that are adapted according to the amount of stockouts observed so far in the course of rolling schedules within the reporting period. The objective is to minimize expected costs. Dynamic safety stocks will be calculated in an individual software module which can be incorporated into today´s Advanced Planning Systems (APS). These safety stocks will then serve as directives for medium and short term production planning.The project proposed here will show how to calculate suitable, product-based, dynamic safety stocks in case of unlimited capacities. Furthermore, we demonstrate how to in-clude these safety stocks in rolling schedules of capacitated medium and short term production planning of APS. This project will both extend existing inventory theory as well as help to improve the practice of production planning in case of stochastic demand. In this way it will contribute to the competitiveness of companies and supply chains.

在当今的竞争中，按时交货是一个重要的成功因素。供应商和买方之间的合同，即所谓的服务水平协议，通常包含在有限的报告期内（例如一个季度）保持和控制商定的服务水平的规定。违反这些服务水平往往会导致商誉损失、罚款成本、未来销量损失，甚至终止供应关系。测量和控制按时交付的一个众所周知的性能指标是填充率。鉴于这些新的挑战，问题是：今天的规划系统是否充分支持决策者在保持低成本的同时达到既定的目标填充率？根据Thomas（2005）的模拟实验，我们知道，如果采用通常的静态安全库存，在随机需求的情况下，在有限的报告期内实现的填充率可能会大大低于给定的目标填充率。因此，我们建议根据报告期内滚动调度过程中迄今为止观察到的缺货量进行调整的动态安全库存。目标是最小化预期成本。动态安全库存将在一个单独的软件模块中计算，该模块可以纳入当今的高级规划系统（APS）。这些安全库存将作为中期和短期生产计划的指示。这里提出的项目将展示如何在无限容量的情况下计算合适的、基于产品的动态安全库存。在此基础上，讨论了如何将这些安全库存纳入APS有能力的中、短期生产计划的滚动调度中。本课题既扩展了现有的库存理论，又有助于改进随机需求情况下的生产计划实践。这样，它将有助于提高企业和供应链的竞争力。