A Fuzzy Multiple Attributes Decision-Making for Evaluating Flexibility in a Manufacturing System

模糊多屬性決策方法應用於製造彈性評估之研究

10.6989/JN.200612.0223

褚先忠(Shian-Jong Chuu)

製造彈性 ； 多屬性分析 ； MEOWA運算子 ； 兩階段評估 ； Manufacturing flexibility ； Multiple attributes analysis ； maximum entropy ordered weighted averaging operators ； Two-stage assessment

南亞學報

26期（2006 / 12 / 01）

223 - 240

英文

對於確保製造系統的競爭力，製造彈性評估具有重要的策略性功能，在相關文獻的討論日益增加。針對製造系統的彈性評估，傳統衡量方法都是採取客觀屬性，以確定數值來衡量兩個或三個彈性維度，並且在評估製造彈性時大多沒有考慮彈性維度的重要性與主觀性評估。本文提出一種多屬性決策模式，其中運用MEOWA運算子的語意融合方法，適合於不確定決策環境下製造彈性評估。在評估製造彈性時，不僅可以發現製造彈性的改善時機，更可以確定製造彈性的最佳改善方向，直到評估者滿意為止。最後，例釋與模擬本方法，顯示出本法之語意評估是合理的。

Evaluation of the flexibility in a manufacturing system (manufacturing flexibility) is very important to determining the competitiveness of manufacturing system, and is being increasing discussed in the literature on manufacturing system. Traditional approaches have tried objectively to evaluate manufacturing flexibility, and are theoretical and involve only two or three dimensions. The importance grade of flexibility dimensions, and the subjective evaluation of manufacturing flexibility have seldom been addressed. The objective of this paper is to develop a multiple attributes decision-making model with two-stage assessment to the evaluation of the manufacturing flexibility in a manufacturing system development. The evaluation problem is solved by a fuzzy fusion method based on the maximum entropy ordered weighted averaging operators. We also provided a fuzzy fusion method of linguistic information. While evaluating the degree of manufacturing flexibility, one may find the need for improving manufacturing flexibility, and determine the dimensions of manufacturing flexibility as the best directions to improvement until she/he can accept it. An example is used to demonstrate the proposed method. Finally, we also show that the linguistic assessment of manufacturing flexibility is reasonable.