دوشنبه 17 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty |
| عنوان فارسی مقاله | انتخاب تامین کننده پایدار توسط یک مدل تصمیم جدید مبتنی بر مجموعه های فازی با ارزش بازه و سیستم های نقطه مرجع آماری احتمالی تحت عدم اطمینان |
| مشخصات مقاله انگلیسی | |
| نشریه: Taylor & Francis |
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| سال انتشار |
2019 |
| عنوان مجله |
International Journal of Systems Science: Operations &Logistics |
| تعداد صفحات مقاله انگلیسی | 18 |
| رفرنس | دارد |
| تعداد رفرنس | 49 |
| چکیده مقاله | |
| چکیده |
Evaluating and selecting appropriate sustainable supplier is regarded as a significant decision thatplays a main role to successfully manage the sustainable supply chain. This study introduces a novelinterval-valued fuzzy group decision model for evaluating sustainability performance of suppliersin the sustainable supply chain management (S-SCM). For this purpose, values of two high possibil-isic mean and low possibilistic standard deviations are presented to provide new separation mea-sures matrixes. Then, new interval-valued fuzzy indexes are proposed based on concepts of fuzzypossibilistic statistical reference point system. In addition, evaluation criteria from sustainable devel-opment dimensions are considered along with the conventional criteria for comprehensive assess-ment approach. Steps of the proposed interval-valued fuzzy group decision model are implementedto a case study in the supply chain for the sustainable supplier selection problem. The computa-tional results of the presented model are compared with two recent fuzzy decision methods fromthe related literature. The model can assist supply chain experts or decision-makers to systematicallydetermine preference order of sustainable supplier candidates under uncertain conditions. |
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| دانلود | |
