SELECTION OF SEVENTH PARTY LOGISTICS USING FTOPSIS METHOD
Keywords:
Criteria, FTOPSIS Method, , Seventh-Party Logistics, Logistics CompaniesAbstract
Selection and assessment of a seventh-party logistics (7PL) that combines a company's global operations is the focus of this article. The selection process is determined by the criteria and the fuzzy triangular numbers assigned to each one. When dealing with complicated issues involving multi-criteria decision making, the FTOPSIS is employed. A modern approach combines a fuzzy decision making trial, evaluation and fuzzy techniques to order preferences by similarity to ideal solution (FTOPSIS) methods. Choosing a transportation provider is one of the most important choices for a successful business. Final selection is carried out following the criteria's identification using FTOPSIS. Researchers can use this publication as a resource to better understand and apply FTOPSIS to MCDM difficulties.
References
Jacek Zak (2014), “The Selection of the Logistics Centre Location based on MCMD Method”, Journal of Transportation Research, Vol.3, No.2, pp 555-564.
Kahraman .C, G. Büyüközkan, N.Y. Ateş, A two phase multi-attribute decision-making approach for new product introduction, Information Sciences, 177 (2007) 1567-1582.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Heidelberg: Springer.
Jee, D.H., & Kang, J.K. (2000). A method for optimal material selection aided with decision making theory. Materials and Design, 21(3), 199-206.
Yong, C.C., & Chen, B.S. (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management, 17(7), 926-941.
Liping Yu (2018),“A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic”, Journals Mathematical Problems in Engineering, Vol. 2018, pp 1-7.
L. P. Yu, Y. T. Pan, and Y. S. Wu, “Revised TOPSIS and its application research in science and technology evaluation”, Intelligence Magazine, vol. 31, no. 6, pp. 103–107, 2012.
C. B. Li, J. Y. Zhang, Y. D. Gu, and Z. Q. Qi, “A fuzzy stochastic multi-criteria decision making method and application based on prospect theory and improved TOPSIS,” Operations Research and Management, vol. 24, no. 2, pp. 92–100, 2015.
Ghodsypour, S. H., O’Brien C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics. 73(1), pp. 15-27.
Farzami S. M., Vafaei F. (2013). Evaluation and Selection of Optimal Contractor to execute project Using FTOPSIS Method (Case Study: Kermanshah Gas Company).International Research Journal of Applied and Basic Sciences. 6(4), pp. 450-459.
Singh R., Rajput H. (2012). Supplier Selection by Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) Method for Automotive Industry. International Journal of Advanced Technology & Engineering Research. 2(2),pp. 157-160.
Zadeh, L. A. (1975). The Concept of a Linguistic Variable and its Application to Approximate Reasoning-I. Information Sciences. 8(4), pp. 199-249.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control. 8(3), pp. 338-353
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