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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part B. Journal of engineering manufacture >A revised cost-benefit algorithm for solving the expediting completion time of end product problem with defective materials in the product structure diagram
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A revised cost-benefit algorithm for solving the expediting completion time of end product problem with defective materials in the product structure diagram

机译:修改后的成本效益算法,用于解决产品结构图中含缺陷材料的最终产品问题的快速完成时间

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This paper proposes a revised cost-benefit algorithm for solving the expediting completion time of end product (ECTEP) problem with defective components/materials in the product structure diagram. The existing cost-benefit ECTEP algorithm assumes that all materials produced or purchased are of perfect quality. However, the procurement of defective materials in a real-life situation is inevitable. This study extends the algorithm to take imperfect-quality component parts into consideration. Adjusted unit procurement cost and adjusted required quantity are incorporated to address the issue of defective materials procured. Both random and stationary imperfect quality rates are examined. The critical path method and time-costing method are utilized in the proposed solution procedures for finding the optimal material procurement alternatives that minimize the end product unit manufacturing cost (including compensatory cost for defective materials) as well as expediting its total completion time. A numerical example is provided to demonstrate its practical usage.
机译:本文提出了一种修正的成本效益算法,用于解决产品结构图中具有缺陷部件/材料的最终产品(ECTEP)快速完成时间。现有的成本效益ECTEP算法假定生产或购买的所有材料都具有完美的质量。但是,在现实生活中采购有缺陷的材料是不可避免的。这项研究扩展了算法,以考虑不完美质量的组成部分。调整后的单位采购成本和调整后的所需数量已合并在一起,以解决所采购的有缺陷材料的问题。检验随机和静态不完美的质量率。在建议的解决方案过程中使用了关键路径方法和时间成本计算方法,以找到最佳的材料采购替代方案,以最小化最终产品单元的制造成本(包括缺陷材料的补偿性成本),并加快其总制造时间。提供了一个数值示例来说明其实际用法。

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