http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Applying Interactive Genetic Algorithms to Disassembly Sequence Planning
Shih-Chen Lee,Hwai-En Tseng,Chien-Cheng Chang,Yu-Ming Huang 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.4
In addition to garbage sorting and resource recycling, green design should be a fundamental method for solving environmentalproblems, and design for disassembly is an important foundation of green design. This study focuses on providingquantitative assessment methods for designers’ reference. This study proposes interactive genetic algorithms to solve theproblem 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, areference is provided for the revised design. Finally, examples are discussed to demonstrate that the proposed approach isa feasible method.