| 研究生: |
彭淑卿 Peng, Shu-Ching |
|---|---|
| 論文名稱: |
以遺傳演算法求解新產品開發活動群組問題 |
| 指導教授: |
葉榮懋
Yeh, Jong-Mau |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業管理科學系 Department of Industrial Management Science |
| 論文出版年: | 2002 |
| 畢業學年度: | 90 |
| 語文別: | 中文 |
| 論文頁數: | 70 |
| 中文關鍵詞: | 遺傳演算法 、新產品開發 、分群問題 |
| 外文關鍵詞: | genetic algorithm, new product development, clustering problem |
| 相關次數: | 點閱:93 下載:3 |
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自二十世紀始,企業唯有不斷地創新迎合市場需求,方能求生存,否則將在時代洪流中淘汰,亦即全世界所有企業必須參與新產品的戰爭,而在此戰爭中的勝敗,與公司之成功與生存息息相關,影響重大。
對於新產品,今日企業面對的最重要挑戰不僅是上市時間要快,品質也要同時兼顧。因此,企業必須發展出適合且有效的程序,來管理整個創新的過程。
由於新產品開發活動的群組屬於分群問題(clustering problem),常運用以解決該問題的方法有群集分析、數學規劃、模擬退火法、遺傳演算法、演化規劃法……等。其中遺傳演算法具有平行搜尋、跳脫區域最佳解等優點,在解決分群的問題上有著不錯的表現,本研究將使用其為解題的工具。而遺傳演算法染色體表現方式對於問題有深遠的影響,故本研究先比較四種不同的編碼方式,得到其中以星號為區隔群組的架構最能有效解決測試問題。
故在新產品的活動群組的問題上,本研究以該染色體模式求解,期能協助管理者,提高管理的效率及掌握決策的傳遞正確性,達到新產品成功開發,以維持企業競爭力的目的。
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