- 會議論文
以交談式基因演算法進行拆裝規劃之研究
Disassembly sequence planning using interactive genetic algorithms
摘要
除了垃圾分類與資源回收外，綠色設計應是解決環保問題的根本方法，而產品的易拆裝性（Disassembly, DFD）則是綠色設計的重要基礎，本研究將焦點放置於如何提供量化的評估方式供設計者參考，本文擬使用交談式基因演算法來嘗試來解決拆裝順序規劃（Disassembly sequence planning）的問題，首先以模糊化的評分方式來衡量拆裝因素，接著以基因演算法來處理順序最佳化的，藉由懲罰值提供設計者作為修正設計的參考，最後，透過範例的探討，可以推論提供的方法應該是可行的途徑。
並列摘要
In addition to garbage sorting and resource recycling, green design should be the fundamental method for solving environmental problems, and design for disassembly (DFD) is an important foundation for green design. This study focuses on how to provide 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, through the discussion of some examples, it can be inferred that the proposed approach is a feasible method.
延伸閱讀
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