Research on modularization fuzzy petri net of disassembly system

Aiming at the two key problems during the process of the disassembly analysis, which are the combination explosion in generating the disassembly model and the lack of the uncertainty factors in determining the optimal disassembly sequence, this paper proposes a level modular method and puts forward the Petri net model correspondently, which reduce the complication of the disassembly model effectively. Meanwhile, the influences of uncertainty factors on evaluation algorithm of disassembly indexes, under different work conditions, are discussed and formulated. These parameters are saved in a fuzzy unit with the carrier of workers information, which form a special "place". Thus, a common Petri net is extended as a fuzzy Petri net disassembly model. Combining the corresponding evaluation algorithm, an optimal disassembly sequence according with the actual working situation can be achieved. Finally, a case is proposed to illustrate the above method.