Using Disassembly Sequence Structure Graphs on Multiple Selective Disassembly Sequence Planning

“Selective disassembly” disassembles certain product components for reuse, recycle, and remanufacturing to achieve the goal of green design. It has developed from single-target to multiple-target, but the details such as fasteners constraint, and disassembly directions are still not considered throughly. This thesis proposes a new method for multiple-target selective disassembly sequence planning using a Disassembly Sequence Structure Graph (DSSG). Fasteners constraint, minimal removals, and minimal reorientations are considered in this thesis. According to parameters settings of the thesis “Rule-Based Recursive Selective Disassembly Sequence Planning for Green Design”, we are able to obtain necessary information for constructing a DSSG. By the characteristics of DSSG that different DSSGs are able to be combined into one DSSG with multiple target components, the proposed method can obtain a multiple target disassembly sequence fast and efficiently. Furthermore, a genetic algorithm is used to optimize the results and transfer the graphical information into realistic disassembly sequences. In the end, two case studies show the capabilities of the proposed method and final results are presented.