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Environmental factors are increasingly being considered in supply chain risk management (SCRM), which itself represents a growing trend. Accordingly, dynamic supplier selection and order allocation have become very important. Both qualitative and quantitative factors should be considered in the selection of eligible suppliers. In this study, a novel two-stage comprehensive mathematical model is developed for selecting a set of suppliers and assigning an order quantity to each supplier. The first stage involves a primary selection of alternative suppliers according to the risk value, which is determined using qualitative and quantitative methods based on the best–worst method, and the second stage involves establishing a multiobjective mathematical model for dealing with dynamic supplier selection and order allocation. The proposed approach, which helps enterprises manage uncertainty in SCRM, is applied in this study to the new energy vehicles industry.
Feng Li; Chia-Huei Wu; Li Zhou; Guangshu Xu; Yongsheng Liu; Sang-Bing Tsai. A model integrating environmental concerns and supply risks for dynamic sustainable supplier selection and order allocation. Soft Computing 2020, 25, 535 -549.
AMA StyleFeng Li, Chia-Huei Wu, Li Zhou, Guangshu Xu, Yongsheng Liu, Sang-Bing Tsai. A model integrating environmental concerns and supply risks for dynamic sustainable supplier selection and order allocation. Soft Computing. 2020; 25 (1):535-549.
Chicago/Turabian StyleFeng Li; Chia-Huei Wu; Li Zhou; Guangshu Xu; Yongsheng Liu; Sang-Bing Tsai. 2020. "A model integrating environmental concerns and supply risks for dynamic sustainable supplier selection and order allocation." Soft Computing 25, no. 1: 535-549.
With the concept of sustainability gaining popularity, low-carbon tourism has been widely considered. In this paper, a multicriteria group decision making (MCGDM) process based on an uncertain environment is proposed to study the evaluation problem of low-carbon scenic spots (LSSs). In order to minimize the influence of subjective and objective factors, the traditional Vlse Kriterjumska Optimizacija I Kompromisno Resenje (VIKOR) method is expanded, using the improved best and worst method (IBWM) and Bayes approximation method, based on Dempster-Shafer Theory (B-DST). First, in order to make the evaluation process more professional, a number of evaluation criteria are established as effective systems, followed by the use of triangular intuitionistic fuzzy numbers (TIFNs) to evaluate alternatives of LSSs. Next, according to the evaluation results, the weights of the criteria are determined by the IBWM method, and the weights of the expert panels (Eps) are determined by B-DST. Finally, a weighted averaging algorithm of TIFN is used to integrate the above results to expand the traditional VIKOR and obtain the optimal LSS. The applicability of this method is proven by example calculation. The main conclusions are as follows: tourist facilities and the eco-environment are the two most important factors influencing the choice of LSSs. Meanwhile, the roles of management and participant attitudes in LSS evaluations cannot be ignored.
Aijun Liu; Taoning Liu; Xiaohui Ji; Hui Lu; Feng Li. The Evaluation Method of Low-Carbon Scenic Spots by Combining IBWM with B-DST and VIKOR in Fuzzy Environment. International Journal of Environmental Research and Public Health 2019, 17, 89 .
AMA StyleAijun Liu, Taoning Liu, Xiaohui Ji, Hui Lu, Feng Li. The Evaluation Method of Low-Carbon Scenic Spots by Combining IBWM with B-DST and VIKOR in Fuzzy Environment. International Journal of Environmental Research and Public Health. 2019; 17 (1):89.
Chicago/Turabian StyleAijun Liu; Taoning Liu; Xiaohui Ji; Hui Lu; Feng Li. 2019. "The Evaluation Method of Low-Carbon Scenic Spots by Combining IBWM with B-DST and VIKOR in Fuzzy Environment." International Journal of Environmental Research and Public Health 17, no. 1: 89.
Coordination is essential for improving supply chain performance, and one of the most critical factors in achieving the coordination of a supply chain is the integrated research of production and distribution. In this paper, a novel two-stage hybrid solution methodology is proposed. In the first stage, products are processed on the serial machines of multiple manufacturers located in two industrial parks. A fuzzy multi-objective scheduling optimization is performed using a modified non-dominated sorting genetic algorithm II (NSGA-II). The result obtained in the first stage is used in the second stage to optimize the distribution scheduling problem using a modified genetic annealing algorithm (GAA). Finally, simulation results verify both the feasibility and efficiency of the proposed solution methodology.
Feng Li; Li Zhou; Guangshu Xu; Hui Lu; Kai Wang; Sang-Bing Tsai. An empirical study on solving an integrated production and distribution problem with a hybrid strategy. PLOS ONE 2018, 13, e0206806 .
AMA StyleFeng Li, Li Zhou, Guangshu Xu, Hui Lu, Kai Wang, Sang-Bing Tsai. An empirical study on solving an integrated production and distribution problem with a hybrid strategy. PLOS ONE. 2018; 13 (11):e0206806.
Chicago/Turabian StyleFeng Li; Li Zhou; Guangshu Xu; Hui Lu; Kai Wang; Sang-Bing Tsai. 2018. "An empirical study on solving an integrated production and distribution problem with a hybrid strategy." PLOS ONE 13, no. 11: e0206806.
Sharing express boxes is an effective disposal method for obsolete express packages. Its appearance also represents an unstoppable trend in the development of green logistics. This paper takes the sharing express box as research object and conducts two-stage research. In the first stage, the collaborative consumption theory and calculus are used to analyze the economic benefits that sharing express boxes bring to operators, that is, to demonstrate the feasibility of this business model from an economic perspective. In the second stage, the design of the overlay network is studied from the management science perspective. Firstly, an optimal coverage model is established considering the characteristics of the sharing express box, and cleaning costs, relocation costs, etc. are all integrated into the model. Secondly, the genetic algorithm is used to solve the model. A numerical example is described to illustrate the feasibility of the proposed method. In addition, sensitivity analysis investigates the effect of hub coverage change on the results. Finally, the theoretical guidance gained from this paper can be beneficial to the sustainable development of sharing express boxes.
Aijun Liu; Xiaohui Ji; Sang-Bing Tsai; Hui Lu; Gang Du; Feng Li; Guodong Li; Jiangtao Wang. An Empirical Study on the Innovation Sharing Express Box: Collaborative Consumption and the Overlay Network Design. Sustainability 2018, 10, 2201 .
AMA StyleAijun Liu, Xiaohui Ji, Sang-Bing Tsai, Hui Lu, Gang Du, Feng Li, Guodong Li, Jiangtao Wang. An Empirical Study on the Innovation Sharing Express Box: Collaborative Consumption and the Overlay Network Design. Sustainability. 2018; 10 (7):2201.
Chicago/Turabian StyleAijun Liu; Xiaohui Ji; Sang-Bing Tsai; Hui Lu; Gang Du; Feng Li; Guodong Li; Jiangtao Wang. 2018. "An Empirical Study on the Innovation Sharing Express Box: Collaborative Consumption and the Overlay Network Design." Sustainability 10, no. 7: 2201.