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Entropy-weighted ANP fuzzy comprehensive evaluation of interim product production schemes in one-of-a-kind production

机译：一种生产中的临时产品生产计划的熵权ANP模糊综合评价

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摘要

Most one-of-a-kind production (OKP) products are complex-shaped structural components, where there are only few identical OKP interim products in the same batch. OKP flexible interim product production has the nature of multi-criteria production; the multi-criteria production characteristics correspond to different manufacturing technologies and methods. How to reasonably and effectively determine group/batch production schemes of OKP interim products has become a key strategic consideration in OKP enterprises' multi-criteria production decisions. The primary problem of the current multi-criteria evaluation method is how to judge the matrix scale and determine the weight set, which primarily depends on the rich experience of relevant specialists. These subjective decisions make the evaluation results prone to disagreements. To comprehensively and scientifically evaluate the production processes influenced by the complicated factors in OKP, we establish an influence factor system and present a method that combines subjective and objective weights based on entropy and an analytic network process (ANP). The method avoids a multifarious optimizing process. In addition, this is a novel attempt to use fuzzy comprehensive evaluation based on ANP in production scheme optimization, which to an extent, enriches process optimization methods in manufacturing. Through case studies, we demonstrate our methods feasibility and rationality. The improved evaluation result provides support for multi-criteria production decisions of interim products in OKP.
机译：多数一种生产（OKP）的产品都是形状复杂的结构部件，同一批中只有很少的相同的OKP临时产品。 OKP灵活的临时产品生产具有多准则生产的性质；多标准生产特征对应于不同的制造技术和方法。如何合理有效地确定OKP临时产品的分组/批生产方案，已成为OKP企业多标准生产决策的关键战略考虑。当前的多标准评估方法的主要问题是如何判断矩阵规模并确定权重集，这主要取决于相关专家的丰富经验。这些主观决定使评估结果容易产生分歧。为了全面，科学地评估OKP中受复杂因素影响的生产过程，我们建立了一个影响因素系统，并提出了一种基于熵和分析网络过程（ANP）的将主客观权重相结合的方法。该方法避免了繁杂的优化过程。另外，这是在生产方案优化中使用基于ANP的模糊综合评价的一种新颖尝试，在一定程度上丰富了制造中的工艺优化方法。通过案例研究，我们证明了我们的方法的可行性和合理性。改进的评估结果为OKP中临时产品的多标准生产决策提供了支持。

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