Abstract
AbstractLogistics processes have been analyzed as one of the most critical expense items for companies. Companies that failed to manage their logistics processes well could not reach the desired growth rates, and some even disappeared. Logistics management without process optimizations can be time and money consuming for the companies. Logistics processes significantly influence organizations' efficiency. Logistic professionals should keep the process flow quality at a certain level, and some decision problems should be analyzed and answered well. Location selection of a warehouse is one of the most crucial decision problems of supply chain and logistics management. Alternatives are evaluated in quantitative and qualitative criteria to decide the best location alternative using scientific MCDM techniques. Different scientific methods have been developed and used to solve this problem. As for this study, the aim is to investigate the warehouse location selection of third-party cold chain logistics suppliers. The importance of keeping perishable products under the right conditions increased, since it is realized that cold chain warehousing and transportation prevent the product spoiled. Organizations can save their funds and time by having effective cold chain management. This study's main scope is to give a new scientific perspective for warehouse selection in cold chain logistics. MCDM technique of Interval-Valued Neutrosophic Fuzzy (IVNF) EDAS method has been used to evaluate essential criteria and choose the best option. Critical cities of Gulf Region countries have been considered alternatives in a numerical illustration.
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,General Computer Science
Reference67 articles.
1. Mentzer, J.T., DeWitt, W., Keebler, J.S., Min, S., Nix, N.W., Smith, C.D., Zacharia, Z.G.: Defining supply chain management. J. Bus. Logist. 22(2), 1–25 (2001)
2. Derman, A.: History of Warehousing, printed book. (2010)
3. Raut, R.D., Narkhede, B.E., Gardas, B.B., Raut, V.: Multi-criteria decision making approach: a sustainable warehouse location selection problem. Int. J. Manag. Concepts Philos. 10(3), 260–281 (2017)
4. Ashrafzadeh, M., Rafiei, F.M., Isfahani, N.M., Zare, Z.: Application of fuzzy TOPSIS method for the selection of warehouse location: a case study. Interdiscip. J. Contemp. Res. Bus. 3(9), 655–671 (2012)
5. Wang, L. and Zhang, Z.Y.: October. A research on related questions of Chinese food cold chain development. In 2008 International Conference on Management of e-Commerce and e-Government (pp. 18–21). IEEE (2008)
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献