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Cost minimizing scheduling of work and rework processes on a single facility under deterioration of reworkables

机译:在可返修品质量下降的情况下,将单个工厂的工作和返工流程的计划成本降至最低

摘要

The problem of scheduling the production of new and recovering defective items of the same product manufactured on the same facility is studied. The items are produced in batches. The processing of a batch includes two stages. In the first stage, all items of a batch are manufactured and good-quality items go to the inventory to satisfy given demands. In the second stage, defective items of the same batch are reworked. After rework each item has the required good-quality. During waiting for rework defective items are assumed to deteriorate. This results in an increase in time and cost for performing rework processes. It is assumed that the percentage of defective items is the same in each batch, and that they are uniformly distributed in each batch. A setup time as well as a setup cost is required to start batch processing and to switch from production to rework. The objective is to find batch sizes such that all demands are satisfied and total setup, rework and inventory holding cost is minimized. Polynomial time algorithms are presented to solve two realistic special cases of this problem. A generalization to a multiple product case is discussed.
机译:研究了安排在同一工厂生产的同一产品的新产品和回收有缺陷物品的生产问题。这些项目是批量生产的。批处理包括两个阶段。在第一个阶段,将制造一批中的所有物品,然后将高质量的物品存入库存,以满足给定的需求。在第二阶段,返工相同批次的有缺陷的物品。返工后,每个项目都具有所需的高质量。在等待返工期间,不良品被认为会变质。这导致执行返工过程的时间和成本增加。假设每个批次中有缺陷的项目的百分比是相同的,并且它们在每个批次中是均匀分布的。开始批处理以及从生产切换到返工需要准备时间和建立成本。目的是找到满足所有需求的批次大小,并使总设置,返工和库存持有成本最小化。提出了多项式时间算法来解决该问题的两个现实特殊情况。讨论了多产品案例的一般化。

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