基于信息熵的废旧产品再制造方案复杂性测度及应用

An information entropy based complexity measurement method for used product remanufacturing scheme and its application

为了实现废旧产品再制造方案的优选,分析了废旧产品再制造方案复杂性的影响因素,提出了基于信息熵的废旧产品再制造方案复杂性测度模型。结合失效模型与影响分析理论(Failure Model and Effect Analysis,FMEA)、社会网络分析法及信息熵理论,定量地分析废旧零/部件关键性及其损伤程度、零/部件处理方式不确定性,以及再制造系统状态不确定性对产品再制造方案复杂性的影响程度,通过比较不同再制造方案复杂性熵,得出最优再制造方案。以废旧发动机为例,验证了上述模型的可行性和有效性。

To realize the optimum selection of used product remanufacturing scheme,the complexity of used product remanufacturing scheme is analyzed,and an entropy-based complexity measurement model for used product remanufacturing scheme is presented. In this method,the Failure Model and Effect Analysis（FMEA） methods,social network approach and information entropy theory are integrated to analyze the influence degree of the three factors,uncertainty of the criticality and damage level of used component,the post recovery schemes and the state of remanufacturing system,on the complexity of used product remanufacturing scheme in a quantitative way,the optimal remanufacturing scheme is gained by comparing the complexity entropy of different schemes. A used engine is taken as an example to demonstrate the feasibility and validity of the above assessment model.