On potential strategic framework for green supply chain management in the energy sector using q-rung picture fuzzy AHP & WASPAS decision-making model

被引:10
|
作者
Dhumras, Himanshu [1 ]
Bajaj, Rakesh Kumar [1 ]
机构
[1] Jaypee Univ Informat Technol, Dept Math, Solan 173234, HP, India
关键词
q-rung picture fuzzy set; Analytic hierarchy process; WASPAS; Green supply chain management; Energy sector; PRODUCT DEVELOPMENT; PERFORMANCE EVALUATION; CARBON-DIOXIDE; MCDM APPROACH; SELECTION; EFFICIENCY; EMISSIONS; DEMATEL; IMPACT; RISK;
D O I
10.1016/j.eswa.2023.121550
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The present communication deals with addressing the problem of handling the uncertainties in the process of green supply chain management system through an integrated approach that takes the information in the form of q-rung picture fuzzy sets and quantitatively blends it into the decision-making techniques of Analytic Hierarchy Process (AHP) and Weighted Aggregated Sum Product Assessment (WASPAS). The proposed model has been implemented in stage-wise form for outlining the potential strategic plans for green supply chain management in the energy sector. At every phase of the study, the detailed analysis has been presented in an interlinked manner for solving the underlying problem of decision-making. A brief sensitivity analysis and comparative study of the potential strategic plans with respect to the deterministic parameters have been performed for better understanding, consistency, and reliability. The findings of the propositions illustrate that while making prioritization for potential strategic plans, concentrating on utilizing customer relationship management to meet the needs of the customers is more prominent than examining the procedure for developing new services and products.
引用
收藏
页数:14
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