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Economic production quantity in batch manufacturing with imperfect quality, imperfect inspection, and destructive and non-destructive acceptance sampling in a two-tier market

机译:批量生产中的经济生产数量,质量不完善,检查不完善以及两级市场中的破坏性和非破坏性验收抽样

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This article develops an economic production quantity (EPQ) model for the case where the production process and inspection are both not perfect Unlike the models in the literature, the proposed model aims to find the optimal lot size for a manufacturer who produces items in batches; and the batches are subjected to destructive or non-destructive acceptance sampling process before batches can be sent out to the market The manufacturer can use destructive testing or non-destructive testing that can best assess the primary quality characteristic. Two errors can happen in this stage: Type 1 and Type 2 errors. If a lot is rejected, it goes through a more expensive non-destructive screening stage to segregate items into non-defective, reworkable, and salvage. Items that reach the primary market and found to be defective are returned, with a return cost to the manufacturer; in this case, returned items are either reworked or sold as salvage. The expected net profit function consists of the following components: primary and secondary market sales, sales of salvage items, setup and variable production cost return cost rework cost screening cost destructive cost work-in-process, sales items inventory, rework item inventory, and salvage inventory. For both destructive and non-destructive testing situations, the optimal lot size has been found and the optimality criterion has been tested. The article concludes with a numerical example and sensitivity analysis.
机译:本文针对生产过程和检验都不理想的情况,开发了一种经济生产数量(EPQ)模型。与文献中的模型不同,该模型旨在为批量生产物品的制造商找到最佳的批量大小。并且在将批产品投放市场之前,对批产品进行破坏性或非破坏性验收抽样过程。制造商可以使用破坏性测试或非破坏性测试来最好地评估主要质量特征。在此阶段可能发生两个错误:Type 1和Type 2错误。如果拒收大量货物,则将经历更昂贵的非破坏性筛选阶段,以将物品分类为非破坏性,可修复性和可回收性。到达主要市场并发现有缺陷的物品将退回,并向制造商退回费用;在这种情况下,退回的物料将被重新加工或作为打捞出售。预期净利润功能包括以下组成部分:第一和第二市场销售,打捞项目的销售,设置和可变生产成本,退货成本,返工成本筛选,破坏性成本在制品,销售项目库存,返工项目库存以及打捞库存。对于破坏性和非破坏性测试情况,都已找到最佳手数并测试了最佳性标准。本文以数值示例和敏感性分析为结尾。

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