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With the current growth purchase trends of new energy vehicles (NEVs), selecting appropriate supplier(s) based on sustainable criteria has become a significant choice in this fiercely competitive market. In this paper, a fuzzy three-stage integrated multi-criteria decision-making (MCDM) approach is proposed to select the most qualified supplier. First, triple bottom line (TBL) is applied to establish the sustainable supplier criteria with respect to economic, environmental, and social aspects. Second, the performance of sustainable suppliers is evaluated using the proposed approach, which consists of three operational stages. The first stage aggregates decision makers' opinions. The second stage transforms the ratings from the customer's perspective to the designer's perspective. In this stage, the quality function deployment (QFD) integrated with interval-valued intuitionistic trapezoidal fuzzy numbers (IVITFNs) is used to address the ambiguity in human thought, and transform the customer needs (CNs) into engineering characteristics (ECs). The third stage prioritizes the alternatives according to ECs. The VITse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method integrated with IVITFNs is utilized to rank and select supplier(s). Finally, a case study of NEV battery suppliers' selection demonstrates the applicability and robustness of this proposed approach.
Aijun Liu; Yaxuan Xiao; Hui Lu; Sang-Bing Tsai; Wei Song. A fuzzy three-stage multi-attribute decision-making approach based on customer needs for sustainable supplier selection. Journal of Cleaner Production 2019, 239, 118043 .
AMA StyleAijun Liu, Yaxuan Xiao, Hui Lu, Sang-Bing Tsai, Wei Song. A fuzzy three-stage multi-attribute decision-making approach based on customer needs for sustainable supplier selection. Journal of Cleaner Production. 2019; 239 ():118043.
Chicago/Turabian StyleAijun Liu; Yaxuan Xiao; Hui Lu; Sang-Bing Tsai; Wei Song. 2019. "A fuzzy three-stage multi-attribute decision-making approach based on customer needs for sustainable supplier selection." Journal of Cleaner Production 239, no. : 118043.
The selection of fresh product suppliers is a multi-criteria decision making (MCDM) problem with great significant and application value. This requires trade-offs between multiple criteria to prove its ambiguity and uncertainty. Therefore, a novel two-stage fuzzy integrated MCDM method to select suitable suppliers is employed. In the first stage, two collective relationship matrixes are constructed by quality function development (QFD), and relationships among customer requirements (CRs), company strategies (CSs) as well as selection criteria are considered separately in the two matrixes. Subjective criteria weights are obtained by fuzzy best-worst method (BWM) appropriately. In the second stage, the objective criteria weights are obtained using Shannon’s entropy method, and the fuzzy multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) is applied to rank suppliers. Finally, an application case is applied to prove the feasibility of the proposed method. These conclusions can help companies improve their CSs and increase their market competitiveness.
Aijun Liu; Yaxuan Xiao; Xiaohui Ji; Kai Wang; Sang-Bing Tsai; Hui Lu; Jinshi Cheng; Xinjun Lai; Jiangtao Wang. A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product. Sustainability 2018, 10, 2371 .
AMA StyleAijun Liu, Yaxuan Xiao, Xiaohui Ji, Kai Wang, Sang-Bing Tsai, Hui Lu, Jinshi Cheng, Xinjun Lai, Jiangtao Wang. A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product. Sustainability. 2018; 10 (7):2371.
Chicago/Turabian StyleAijun Liu; Yaxuan Xiao; Xiaohui Ji; Kai Wang; Sang-Bing Tsai; Hui Lu; Jinshi Cheng; Xinjun Lai; Jiangtao Wang. 2018. "A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product." Sustainability 10, no. 7: 2371.
Green production has become an important issue in PCD (Product Collaboration Design) for almost every enterprise, and will determine the sustainability of enterprises in the long term. The choice of design partner is a necessary condition in order to achieve green production. For the uncertain, fuzzy, and dynamic information such as unknown indices and weights, fuzzy semantics, and dynamic time factors in GPCD (Green Product Collaboration Design), a two-stage dynamic hybrid MADM (Multi-Attribute Decision Making) approach based on fuzzy DEMATEL (Decision-Making and Trial Evaluation Laboratory), fuzzy KMA (Karnik–Mendel Algorithm), and fuzzy VIKOR (VlseKriterjumska Optimizacija I Kompromisno Resenje) was proposed. In the first stage, fuzzy DEMATEL was used to determine the evaluation indices. Then, in the second stage, to accurately depict the dynamic information generated by the different phases of a product design, the dynamic evaluation method based on fuzzy theories was employed, and the weights of the indices were calculated by fuzzy KMA, then sorted by fuzzy VIKOR. Finally, a case study and a comparative analysis wre provided to illustrate the effectiveness of the proposed approach.
Aijun Liu; Haiyang Liu; Yaxuan Xiao; Sang-Bing Tsai; Hui Lu. An Empirical Study on Design Partner Selection in Green Product Collaboration Design. Sustainability 2018, 10, 133 .
AMA StyleAijun Liu, Haiyang Liu, Yaxuan Xiao, Sang-Bing Tsai, Hui Lu. An Empirical Study on Design Partner Selection in Green Product Collaboration Design. Sustainability. 2018; 10 (2):133.
Chicago/Turabian StyleAijun Liu; Haiyang Liu; Yaxuan Xiao; Sang-Bing Tsai; Hui Lu. 2018. "An Empirical Study on Design Partner Selection in Green Product Collaboration Design." Sustainability 10, no. 2: 133.