In view of the influence of uncertainty and fuzziness of product quality in actual disassembly process

especially the common fault of product

on the selection of disassembly sequence

an objective selective disassembly sequence planning approach with fault features of product was proposed. A disassembly hybrid-graph model was constructed to express the constraints of a product and the product fault matrix was constructed by extracting product fault features. The relational degree matrix between the component fault features and the element of disassembly model was derived by the method of expert advices. The influence of the component fault features on the element of disassembly model was determined by the fuzzy trigonometric function to update the disassembly hybrid-graph model

and the disassembly model elements and disassembly information were modified based on the influence and thresholds to generate the fault disassembly hybrid-graph model. Finally

an optimal or suboptimal disassembly sequence scheme is generated by combining a disassembly sequence optimization algorithm. A case study of turbine reducer demonstrated that the proposed method was more practical in the actual disassembly process and could solve the fuzzy effect of product faults on the disassembly process

the feasibility of disassembly sequence scheme as well as the disassembly efficiency were greatly improved

and the blindness of disassembly was reduced effectively

which proved that the proposed method is more effective for solving disassembly sequence planning problem.