Applying Interactive Genetic Algorithms to Disassembly Sequence Planning

In addition to garbage sorting and resource recycling, green design should be a fundamental method for solving environmental problems, and design for disassembly is an important foundation of green design. This study focuses on providing quantitative assessment methods for designers' reference. This study proposes interactive genetic algorithms to solve the problem of disassembly sequence planning. First, the disassembly factor is measured by the fuzzy scoring procedure method, and then the genetic algorithm is used to select the optimal sequence. With the penalty value provided from the process, a reference is provided for the revised design. Finally, examples are discussed to demonstrate that the proposed approach is a feasible method.