| 作成者 |
|
|
|
| 本文言語 |
|
| 出版者 |
|
|
|
| 発行日 |
|
| 収録物名 |
|
| 巻 |
|
| 号 |
|
| 開始ページ |
|
| 終了ページ |
|
| 出版タイプ |
|
| アクセス権 |
|
| Crossref DOI |
|
| 権利関係 |
|
| 概要 |
Environmental protection has globally driven the encouragement of design and development of low carbon supply chain management systems at global level. It is known that “Low carbon” approaches and pri...nciples play an effective role for industries to minimize the carbon emission from environment. In the real business environment, it becomes very difficult to select more relevant factors among various qualitative and quantitative variables involved in low carbon business operations. A novel hybrid MCDM model, which involved Decision making trial & evaluation laboratory (DEMATEL), Analytical network process (ANP) and techniques for order\ performance by similarly to ideal solution (TOPSIS) followed by fuzzy methodologies has been developed for evaluation & selection low carbon suppliers. In this paper, a novel hybrid framework has been proposed, which can provide sound support for implementations of LCSCM practices by effective evaluation of concerned criterions. However, some previous fuzzy methods are not capable to consider decision making randomness due to lack of concerned information. The result shows that the novel hybrid MCDM approach to evaluate low carbon supplier to the improvement of LCSCM alternatives is the one which have greater final performance index having value of 0.2350 with corresponding index of supplier (T3), which is the best criteria in this method. Therefore, present work proposed a hybrid multi-criteria decision-making method using fuzzy DEMATEL-ANP-TOPSIS, which measured the cause and effect relationship shows the best result.続きを見る
|
Mendeley出力
