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A Framework for the Selection of Logistic Service Provider Using Fuzzy Delphi and Fuzzy Topsis

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Intelligent Automation and Systems Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 103))

Abstract

As the market becomes more global, logistics is now seen as an important area where industries can cut costs and improve their customer service quality. The latest trend is to outsource logistics activities to the outside company (known as third party logistics service providers or 3PL) and to allow the outsourcing company to concentrate on the core competence, improve the service and many more. It results in achieving high quality end results (products or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Delphi method to shortlist the most important criteria and most probable service providers and fuzzy TOPSIS (Technique for Order Performance by Similarity to Idea Solution) to choose the best logistics service provider (LSP) by finding the closeness to the Positive Ideal Solution (PIS). The proposed methodology is applied to a case study for an automobile company in north India who wants to outsource the logistic activities to third party LSP in the Indian context. The proposed model can provide the guidelines and directions for the decision makers (DMs) of various companies to effectively select their service providers in the present day competitive logistics markets

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Correspondence to Rajesh Gupta .

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Gupta, R., Sachdeva, A., Bhardwaj, A. (2011). A Framework for the Selection of Logistic Service Provider Using Fuzzy Delphi and Fuzzy Topsis. In: Ao, SI., Amouzegar, M., Rieger, B. (eds) Intelligent Automation and Systems Engineering. Lecture Notes in Electrical Engineering, vol 103. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0373-9_15

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  • DOI: https://doi.org/10.1007/978-1-4614-0373-9_15

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