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Supply Planning and Inventory Control of Perishable Products Under Lead-Time Uncertainty and Service Level Constraints

机译:在延期时间不确定性和服务水平约束下提供易腐产品的供应计划和库存控制

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There is an increasing interest in academic research studying supply planning and inventory control of perishable products, i.e., of products that have a finite shelf life and/or face physical quality decay. The majority of papers in this field consider various stochastic lifetime and demand processes; however, they usually consider a constant order lead-time. So far, very little research integrates lead-time uncertainty into supply planning and inventory control models for perishable products. In this paper, we develop and examine a dynamic inventory control policy for a perishable product with a finite shelf life considering an uncertain replenishment lead-time and a service level constraint that is targeted every period. This dynamic inventory control policy determines the optimal replenishment quantity based on the actual composition of the inventory level into different age categories (remaining shelf lives), the demand forecast during the uncertain lead-time, and the inventory issuing policy, i.e., the order in which the different age-categories are issued from inventory. We consider a B2B environment in which inventory can be issued in a first-in-first-out (FIFO) order and further consider a non-stationary demand process over time. Besides providing structural properties for the optimal replenishment quantity under lead-time uncertainty based on analytical results, we further show the impact of not considering lead-time uncertainty in the decision-making process on achieved service levels and waste rates using a simulation-based optimization technique.
机译:对学术研究的兴趣日益较大,研究提供易腐产品的供应计划和库存控制,即具有有限保质期和/或面部物质衰减的产品。该领域的大多数论文考虑了各种随机寿命和需求流程;但是,他们通常会考虑一个恒定的订单时间。到目前为止,很少的研究将带来的延期不确定性整合到用于易腐产品的供应计划和库存控制模型中。在本文中,我们开发并检查了一种有限的保质期的动态库存控制政策,其考虑了每个时期的不确定补货时间和服务水平约束。该动态库存控制策略根据库存水平的实际组成,在不同年龄类别(剩下的货架生命),不确定的带款期间的需求预测以及库存发行政策,即订单中的需求预测哪些年龄类别从库存发出。我们考虑一个B2B环境,其中可以在第一票(FIFO)顺序中发出库存,并随着时间的推移进一步考虑非静止需求过程。除了在基于分析结果的带回时间不确定性下提供结构性的结构性特性,我们进一步展示了不考虑使用基于模拟的优化的决策过程和废物率的决策过程中的延期不确定性的影响技术。

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