Research Paper | Industrial Engineering | India | Volume 10 Issue 7, July 2021
Selection of Best Cold Chain Supplier Using Fuzzy-AHP and TOPSIS Method for Temperature Controlled Logistics (TCL) during COVID-19 Pandemic Era
Dr. Karuna Kumar .G | Dr. Seelam Krugon | M. V. J. T. Arun | Dr. B. Karuna Kumar
Abstract: Temperature control logistics (TCL) involves temperature control operations from raw material procurement to end users. Adequate cattle chain infrastructure is essential to maintain the vaccine intact since preparation by the administration. at the end of the chain The primary care provider must have the proper knowledge of cold chain operation. The "cold chain" is maintained and maintained as a network of refrigerators, cold rooms, freezers and refrigerated boxes. To ensure that vaccines are kept at the appropriate temperature during the purchase of vaccines and suppliers, transportation, storage and distribution from the factory to the management, the quality of the vaccines Evaluation and selection of cold medicine suppliers from various angles to insure and reduce the risks of transportation and storage is critical, weak, multidimensional problem solving (MCDM) for optimal order selection). TOPSIS is a logistics provider for the storage and transport of COVID-19 vaccines in India. MCDM-based hybrid approach. TOPSIS can implement choice in global deployments.
Keywords: cold chain supplier, fuzzy AHP, TOPSIS, Temperature Controlled Logistics
Edition: Volume 10 Issue 7, July 2021,
Pages: 27 - 34
How to Cite this Article?
Dr. Karuna Kumar .G, Dr. Seelam Krugon, M. V. J. T. Arun, Dr. B. Karuna Kumar, "Selection of Best Cold Chain Supplier Using Fuzzy-AHP and TOPSIS Method for Temperature Controlled Logistics (TCL) during COVID-19 Pandemic Era", International Journal of Science and Research (IJSR), Volume 10 Issue 7, July 2021, pp. 27-34, https://www.ijsr.net/get_abstract.php?paper_id=SR21627195849
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