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首页> 外文期刊>European Journal of Operational Research >Optimal core acquisition and remanufacturing policies under uncertain core quality fractions
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Optimal core acquisition and remanufacturing policies under uncertain core quality fractions

机译:在不确定的核心质量分数的情况下,最佳的核心采购和再制造策略

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Cores acquired by a remanufacturer are typically highly variable in quality. Even if the expected fractions of the various quality levels are known, then the exact fractions when acquiring cores are still uncertain. Our model incorporates this uncertainty in determining optimal acquisition decisions by considering multiple quality classes and a multinomial quality distribution for an acquired lot. We derive optimal acquisition and remanufacturing policies for both deterministic and uncertain demand. For deterministic demand, we derive a simple closed-form expression for the total expected cost. In a numerical experiment, we highlight the effect of uncertainty in quality fractions on the optimal number of acquired cores and show that the cost error of ignoring uncertainty can be significant. For uncertain demand, we derive optimal newsboy-type solutions for the optimal remanufacture-up-to levels and an approximate expression for the total expected cost given the number of acquired cores. In a further numerical experiment, we explore the effects of demand uncertainty on the optimal acquisition and remanufacturing decisions, and on the total expected cost.
机译:再制造商购置的磁芯通常质量差异很大。即使知道各种质量级别的预期分数,但是获取核心时的确切分数仍然不确定。我们的模型通过考虑多个质量等级和所购批次的多项质量分布,将不确定性纳入确定最佳采购决策的过程中。我们针对确定性需求和不确定性需求得出最佳的采购和再制造策略。对于确定性需求,我们推导出总预期成本的简单封闭式表达式。在数值实验中,我们强调了质量分数中的不确定性对获得的最佳芯数的影响,并表明忽略不确定性的成本误差可能很大。对于不确定的需求,我们推导了最佳报废型解决方案,以实现最佳的再制造水平,并给出了总预期成本的近似表达式,并给出了获得的核心数量。在进一步的数值实验中,我们探索了需求不确定性对最佳采购和再制造决策以及总预期成本的影响。

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