Abstract
Cost model is a key issue in the disassembly process planning, because the optimized disassembly sequence is determined by ranking several possible disassembly operations. In this study, a fuzzy cost model for disassembly processes was developed based on the fuzzy clustering method. The objective was to solve the problems in the practical applications of currently used quantitative models of disassembly cost model, which is based on the change times of the tools 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 and normalization. Dynamic clustering was carried out on the basis of above results, and appropriate clustering results were selected to construct the membership function of fuzzy costs. This study also proposed a method of proportional interpolation to expand the directly built membership function to the uncovered discourse domain, resulting in more practical fuzzy cost models. Finally, the disassembly process of a general reducer was adopted as an example to verify the feasibility of the above method.
Highlights
The disassembly and recycling of EOL products have attracted increased attention
This study proposed a method of proportional interpolation to expand the directly built membership function to the uncovered discourse domain, resulting in more practical fuzzy cost models
The above mentioned cost model depends on the disassembly time or tools direction change method which is feasible for simple products, but would be more difficult to be used for EOL products with complex structure and large number of parts, because simple hand tools, and various electric and hydraulic tools need to be used in the disassembly of EOL products
Summary
The disassembly and recycling of EOL products have attracted increased attention. Reasonable disassembly and recycling of EOL products can reduce environmental pollution, and significantly reduce the consumption of natural resources. Presented a fuzzy petri net based approach to construct the model EOL product and obtain the optimal disassembly sequence [5]. The above mentioned cost model depends on the disassembly time or tools direction change method which is feasible for simple products, but would be more difficult to be used for EOL products with complex structure and large number of parts, because simple hand tools, and various electric and hydraulic tools need to be used in the disassembly of EOL products. It was needed to build fuzzy cost models to adapt to the features of EOL products, which use fuzzy sets to denote the difficulty in disassembly with different joints. A modeling method of disassembly cost based on fuzzy clustering was proposed. A small number of samples were collected based on the disassembly of typical EOL products, which were analyzed using fuzzy clustering method. Fuzzy sets of the disassembly cost were constructed according to the clustering results
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