A Fuzzy Multiple Attribute Decision-Making for Evaluating Flexibility in a Supply Chain

模糊多屬性決策方法應用於供應鏈彈性評估之研究

褚先忠(Shian-Jong Chuu)

《桃園創新學報》 32期 (2012/12) Pp. 275-296

https://doi.org/10.6989/JTI.201212.0275

摘要

對於確保供應鏈的競爭力，供應鏈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。針對供應鏈彈性評估，傳統衡量方法都是採取理論性或客觀性評估，大多沒有考慮彈性維度與尺度之重要性與績效性的主觀性評估。本文提出一種多屬性決策模式，其中運用MELOWGA運算子的語意融合方法，適合於不確定決策環境下供應鏈彈性評估。在評估供應鏈彈性時，不僅可以發現供應鏈彈性的改善時機，更可以確定供應鏈彈性的最佳改善方向。最後，例釋與模擬本方法，顯示出本法之語意評估是合理的。

關鍵字

供應鏈彈性 ； 多屬性分析 ； MELOWGA運算子 ； 兩階段評估

並列摘要

Evaluation of the flexibility in a supply chain (supply chain flexibility) is very important to determining the competitiveness of supply chain, and is being increasing in the literature on supply chain. Traditional approaches have attempted to quantify SCF theoretically or objectively. The subjective assessment of both importance grade and performance rating for supply chain flexibility dimensions and related metrics has seldom been addressed. The objective of this study is to develop a multiple attribute decision-making model with two-stage assessment to the evaluation of the supply chain flexibility in a supply chain management development. The evaluation problem is solved by a fuzzy fusion method based on maximum entropy linguistic ordered weighted geometric averaging (MELOWGA) operators. We also provided a fuzzy fusion method of linguistic information. While evaluating the degree of supply chain flexibility, one may find the need for improving supply chain flexibility, and determine the dimensions of supply chain flexibility as the best directions for improvement. Example using a case study is used to illustrate the availability of the proposed method. Finally, we also show that the linguistic assessment of supply chain flexibility is reasonable.

並列關鍵字

Supply chain flexibility ； Multiple attribute analysis ； MELOWGA operators ； Two-stage assessment