|
|
International Journal of Supply and Operations Management، جلد ۲، شماره ۱، صفحات ۵۴۸-۵۶۸
|
|
|
| عنوان فارسی |
|
|
| چکیده فارسی مقاله |
|
|
| کلیدواژههای فارسی مقاله |
|
|
| عنوان انگلیسی |
A Fuzzy AHP-TOPSIS Framework for the Risk Assessment of Green Supply Chain Implementation in the Textile Industry |
|
| چکیده انگلیسی مقاله |
In the emerging supply chain environment, green supply chain risk management plays a significant role than ever. Risk is an inherent uncertainty and has tendency to disrupt the typical green supply chain management (GSCM) operations and eventually reduce the success rate of industries. In order to mitigate the consequences, a fuzzy multi-criteria group decision making modeling (FMCGDM) which could evaluate the potential risks in the context of (GSCM) is needed from the industrial point of view. Therefore, this research proposes a combined fuzzy analytical hierarchy process (AHP) to calculate the weight of each risk criterion and sub-criterion and technique for order performance by similarity to ideal solution (TOPSIS) methodology to rank and assess the risks associated with implementation of (GSCM) practices under the fuzzy environment. The proposed fuzzy risk-oriented evaluation model is applied to a practical case of textile manufacturing industry. Finally, the proposed model helps the researchers and practitioners to understand the importance of conducting appropriate risk assessment when implementing green supply chain initiatives. |
|
| کلیدواژههای انگلیسی مقاله |
|
|
| نویسندگان مقاله |
| muhammad nazam
university of agriculture, faisalabad, pakistan
| jiuping xu
sichuan university, chengdu, china
| zhimiao tao
sichuan university, chengdu, china
| jamil ahmad
sichuan university, chengdu, china
| muhammad hashim
national textile university, faisalabad, pakistan
|
|
| نشانی اینترنتی |
http://system.khu.ac.ir/ijsom/browse.php?a_code=A-10-100-40&slc_lang=en&sid=en |
| فایل مقاله |
دریافت فایل مقاله |
| کد مقاله (doi) |
|
| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
Artificial intelligence & expert system |
| نوع مقاله منتشر شده |
Research paper |
|
|
|
برگشت به:
صفحه اول پایگاه |
نسخه مرتبط |
نشریه مرتبط |
فهرست نشریات
|
