Abstract
With the increasing pressure from global competition, manufacturers have realized that sustainable production is significant in supply chain management. Sustainable supplier selection and order allocation (SSS&OA) play a distinct and critical role for organizations to achieve sustainable development and build competitive advantage. In this paper, we aim to develop a novel SSS&OA model for selecting the most suitable sustainable suppliers and determining the optimal order sizes among them. First, double hierarchy hesitant linguistic term sets (DHHLTSs) are adopted to deal with uncertainty in evaluating the sustainable performance of alternative suppliers. Then, an extended decision field theory is proposed to choose efficient sustainable suppliers dynamically. Considering quantity discount, a multi-objective linear programming (MOLP) model is established to allocate reasonable order quantities among the selected suppliers. Finally, the applicability and effectiveness of the developed model are illustrated through its application in the electronic industry and through a comparative analysis with other methods.
Highlights
With the increasing awareness of environmental protection, more and more enterprises have integrated green thinking into their daily production and operation management [1,2]
Gören [41] developed an Sustainable supplier selection and order allocation (SSS&OA) model, in which fuzzy decision-making trial and evaluation laboratory (DEMATEL) was adopted for determining criteria weights, Taguchi loss function was used for ranking each supplier and bi-objective model was constructed for allocating order quantities with lost sales
In [10], a hybrid approach based on fuzzy TOPSIS, trapezoidal type-2 fuzzy analytic hierarchy process (AHP) and goal programming was developed for supplier selection and order allocation under quantity discount and fast service options
Summary
With the increasing awareness of environmental protection, more and more enterprises have integrated green thinking into their daily production and operation management [1,2]. For a sustainable supplier selection problem, the green performance of alternative suppliers is often evaluated based on multiple criteria. Symmetry 2020, 12, 302 supplier selection, many uncertainty theories have been utilized in the literature, such as fuzzy sets [14], hesitant fuzzy sets [6], intuitionistic fuzzy sets [15], cloud mode [16], and interval type-2 fuzzy sets [17] These methods are insufficient to describe complex evaluation information in detail. Decision makers can utilize DHHLTSs to express their opinions comprehensively Given these advantages, many researchers have adopted the DHHLTSs to handle complex uncertain linguistic information in various decision-making problems [19,20,21,22,23].
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