A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Supplier Selection: An Intelligent Approach
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.
Supplier Selection: An Intelligent Approach
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.
Supplier Selection: An Intelligent Approach
Poddar, A. (author) / Ray, A. (author)
Journal of The Institution of Engineers (India): Series C ; 95 ; 169-177
2014-04-01
9 pages
Article (Journal)
Electronic Resource
English
Supplier Selection: An Intelligent Approach
| Online Contents | 2014
Supplier Selection : An MCDA-Based Approach
| UB Braunschweig | 2017
A Novel General Approach for Solving a Supplier Selection Problem
| British Library Online Contents | 2016
Sustainability-Driven Supplier Selection: Insights from Supplier Life Value and Z-Numbers
| DOAJ | 2024