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Optimization of Armored Equipment Maintenance Material Regulating based on Gray Entropy

机译:基于灰色熵的装甲设备维修材料优化

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Most of the armored equipment maintenance material regulating is passive application from the junior resource, and the superior resource is lack of the initiative conduction. Through the import of Gray entropy, establish the dynamic requirement model, not only measure the material demands effectively, but also bring forward the response origin point. At last validate its rationality with the example, providing a new thinking for optimizing the material scheduling process.
机译:大多数装甲设备维护材料调节是初级资源的被动应用,卓越的资源缺乏主动传导。通过进口灰色熵,建立动态要求模型,不仅有效地测量材料需求,而且提出了响应源点。最后验证其合理性与示例,提供了用于优化材料调度过程的新思维。

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