Abstract: Before the remanufacturing of a type of products, the buy back products should be disassembled. During the life cycle, the structure of a buy back product and the quality of the components are changed. Thus, the disassembly sequence is uncertain, which complicates the disassembly process. To solve this problem, a fuzzy Petrinet is built to model such a disassembly process such that the effect of uncertainty on the disassembly quality can be described. With this model, the cost resulting from different disassembly sequences can be estimated by using fuzzy reasoning. Then, an algorithm is presented to find the optimal disassembly sequence by minimizing the disassembly cost. An illustrative example is given to verify the effectiveness of the proposed method.

Key words: disassembly planning, fuzzy reasoning, remanufacturing