Open AccessFuzzy-Clustering Based Cost Modeling of Disassembly Planning for EOL Products
Author(s) -
Zhou Zi-qiang,
Dai Griffiths,
Wu Zhaoren,
Xiangyan Zhang
Publication year - 2015
Publication title -
the open mechanical engineering journal
Language(s) - English
Resource type - Journals
ISSN - 1874-155X
DOI - 10.2174/1874155x01509010546
Subject(s) - cluster analysis , normalization (sociology) , data mining , fuzzy logic , computer science , fuzzy clustering , ranking (information retrieval) , standardization , process (computing) , engineering , reliability engineering , artificial intelligence , sociology , anthropology , operating system
Cost model is a key issue in the disassembly process planning, because the optimized disassembly sequence isdetermined by ranking several possible disassembly operations. In this study, a fuzzy cost model for disassemblyprocesses was developed based on the fuzzy clustering method. The objective was to solve the problems in the practicalapplications of currently used quantitative models of disassembly cost model, which is based on the change times of thetools operation or the disassembly time. The sample data were obtained through the disassembly tests of the typical EOL(end-of-life) products. Following this , the transitive closure operations were performed after standardization andnormalization. Dynamic clustering was carried out on the basis of above results, and appropriate clustering results wereselected to construct the membership function of fuzzy costs. This study also proposed a method of proportionalinterpolation to expand the directly built membership function to the uncovered discourse domain, resulting in morepractical fuzzy cost models. Finally, the disassembly process of a general reducer was adopted as an example to verify thefeasibility of the above method.