Evaluating Manufacturing Flexibility Using Fuzzy Multiple Attribute Decision Making

模糊多屬性決策程序應用於製造彈性評估

10.29977/JCIIE.200411.0007

褚先忠(Shian-Jong Chuu)

製造彈性 ； MEOWA運算子 ； 兩階段評估 ； 語意量子 ； Manufacturing flexibility ； MEOWA operators ； Two-stage assessment ； Linguistic quantifier

工業工程學刊

21卷6期（2004 / 11 / 01）

576 - 586

英文

針對製造系統的彈性評估，本論交提出一種模糊多屬性決策程序，來支援作業管理者進行製造彈性管理。首先，將製造彈性評估問題建構爲一個模糊環境下多屬性決策模式，並提出一種運用MEOWA運算子的語意融合演算法於評估製造彈性。在評估製造彈性時，不僅可以發現改善製造彈性的需要，更可以確定製造彈性的改善方向，直到評估者滿意爲止。最後，例釋與模擬本方法，顯示本評估結果是合理的。

This paper presents a fuzzy multi-attribute decision-making algorithm for evaluating flexibility in a manufacturing system development. This evaluation problem is formulated as a multi-attribute decision-making model in a fuzzy environment and solved by a fusion method based on the MEOWA operators. While evaluating the degree of manufacturing flexibility(MF), one may find the need for improving MF, and determine the dimensions of MF as the best directions to the improvement of MF until she/he can accept it. We also show that higher the combination of importance grade and performance rating the higher the degree of MF.

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