Supplier Selection: An Intelligent Approach

Original Contribution
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Abstract

The aim of this research is to develop a generic model of intelligence and cognitive science-based method that can play an active role in selecting the best supplier in the supply chain management system. In this paper, an intelligent system was conceived for prediction of the best supplier from the set of suppliers in the supply chain management system. Initially, the proposed system incorporates the tangible and intangible data as inputs to the system in the fuzzy environment and acts as the source case. The target case consists of several criteria that influence the supplier selection process. The system calculates the similarities between the source and target cases and decides the best supplier by using fuzzy rule-based system. Finally, the weights of each supplier optimize the order quantities in the unstructured environment. The proposed expert system is superior to the traditional supplier selection and allocation of the ordered quantities and assists inexperienced users in predicting the best supplier within the shortest possible time.

Keywords

Supply chain management Fuzzy logic Process capability Linear programming 
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Copyright information

© The Institution of Engineers (India) 2014

Authors and Affiliations

  1. 1.Wells Fargo Center, Bagmane World Tech. Center (SEZ)BangaloreIndia
  2. 2.Dept. of Mechanical EngineeringNational Institute of TechnologySilcharIndia

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