Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach

Rajesh Kr. Singh (), Angappa Gunasekaran and Pravin Kumar
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Rajesh Kr. Singh: Management Development Institute
Angappa Gunasekaran: School of Business and Public Administration, California State University
Pravin Kumar: Delhi Technological University

Annals of Operations Research, 2018, vol. 267, issue 1, No 26, 553 pages

Abstract: Abstract Managing value chain of perishable food items or pharmaceutical drugs is known as cold chain management. In India, approximately 30% fruits and vegetables get wasted due to lack of effective cold chain management. Logistic providers play a crucial role in making cold chains more effective. Based on literature review, ten criteria are selected for the third party logistics (3PL) selection process. Some of these criteria are transportation and warehousing cost, logistic infrastructure and warehousing facilities, customer service and reliability, network management, etc. This study illustrates a hybrid approach for selection of 3 PL for cold chain management under fuzzy environment. A hybrid model of Fuzzy AHP and Fuzzy TOPSIS is proposed in this paper for the selection of an appropriate 3PL in order to outsource logistics activities of perishable products. Fuzzy AHP is used to rank different criteria for 3PL selection, then Fuzzy TOPSIS is used to select the best 3 PL based on performance. The results imply that logistic providers should focus on practices such as automation of processes and innovation in cold chain processes to become more competitive.

Keywords: 3PL; Cold chains; Supply chain management; Sustainable performance; MCDM (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (29)

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DOI: 10.1007/s10479-017-2591-3

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