A Fuzzy Multiple Attributes Decision-Making for the Evaluation of Advanced Manufacturing Technology

模糊多屬性決策方法應用於先進製造技術評估之研究

褚先忠(Shian-Jong Chuu)

《南亞學報》 30期 (2010/12) Pp. 217-242

https://doi.org/10.6989/JN.201012.0217

摘要

對於改善製造系統的競爭力，先進製造技術評估具有重要的策略性功能，在相關文獻的討論日益增加。針對製造技術評估問題，傳統衡量方法無法有效率地處理評估資訊中的不精確性與主觀性。本文提出一種三階段的多屬性決策模式，其中提出一種MEOWA運算子的模糊資訊融合方法，藉以整合語意資訊與數值資訊，適合於不確定決策環境下的製造技術適合度評估問題；此外，本法亦提出一個互動式決策分析，有助於達成決策的一致性。在評估製造技術適合度時，不僅可以發現製造技術的改善時機，更可以確定製造技術的改善方向，直到評估者滿意為止。最後，藉由個案研究之彈性製造系統評估，展示本法之運算過程。

關鍵字

模糊集合 ； 多屬性分析 ； 先進製造技術 ； MEOWA運算子 ； 三階段評估

並列摘要

Evaluation of advanced manufacturing technology is very important to improving manufacturing system competitiveness, and is being increasing discussing in the literature on manufacturing system. Traditional methods of solving advanced manufacturing technology evaluation problems cannot effectively handle problems involving imprecise and subjective information. The objective of this paper is to develop a fuzzy multiple attributes decision- making model with three-stage assessment to evaluate the suitability of manufacturing technology. The evaluation problem is solved by a fusion method based on maximum entropy ordered weighted averaging operators. We also proposed a fusion method of fuzzy information, which was assessed using both linguistic and numerical scales. In addition, an interactive decision analysis is developed to make a consistent decision. When evaluating the suitability of manufacturing technology, it may be necessary to improve upon the technology, and naturally advanced manufacturing technology is seen as the best direction for improvement. The flexible manufacturing system adopted in a case study is used in this study to illustrate the computational process of the proposed method.

並列關鍵字

Fuzzy sets ； Multiple attributes analysis ； Advanced manufacturing technology ； Maximum entropy ordered weighted averaging operators ； Three-stage assessment