Fuzzy reasoning Petri nets for demanufacturing process decision

M. Gao, M. Zhou
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引用次数: 12

Abstract

Since products during the use stage may experience very different conditions, their external and internal status can vary significantly. These products, when coming to a demanufacturing facility, are often associated with incomplete/imprecise, sometime wrong, information so that the demanufacturing processes have to be decided dynamically based on the products' specific status. This paper presents a fuzzy reasoning Petri net model to represent such a product with uncertainty and its related demanufacturing decision rules. Based on this model, a formal reasoning algorithm using the operators in max-algebra is proposed to perform fuzzy reasoning. Using the proposed model, the multi-criterion demanufacturing rules can be considered in the parallel way to make the decision automatically, which makes the real time disassembly process decision possible. At last, an example is used to specify the application of the proposed method.
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基于模糊推理Petri网的拆解工艺决策
由于产品在使用阶段可能会经历非常不同的情况,因此其外部和内部状态可能会有很大差异。当这些产品进入拆解工厂时,通常与不完整/不精确,有时是错误的信息相关联,因此拆解过程必须根据产品的特定状态动态决定。本文提出了一种模糊推理Petri网模型来表示具有不确定性的产品及其相关的解制造决策规则。在此模型的基础上,提出了一种利用最大代数算子进行模糊推理的形式化推理算法。利用该模型,可以并行考虑多准则的拆卸规则,实现自动决策,从而实现实时的拆卸过程决策。最后,通过一个算例说明了该方法的应用。
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