Title: Supplier selection using artificial neural network and genetic algorithm

Authors: Nitesh Asthana; Manish Gupta

Addresses: Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad 211004, India ' Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad 211004, India

Abstract: This paper presents the integration of GA with ANN to develop a decision making model for the selection of the best supplier. This work integrates multi-attribute decision making models that give grades to suppliers on a set of criteria with the mathematical programming techniques that model the constraints and an objective function to select the best supplier. There exists a number of criteria for supplier selection and in this work based on the preliminary field visits some of the criteria are chosen for supplier selections that are more dominant in the Indian scenario. These selected criteria are: quality, delay time, unit cost, quantity and service. Supplier score was calculated based on the data collected from the reputed automobile industry. This supplier score was further used for ranking the suppliers among the number of options available.

Keywords: supplier selection; genetic algorithms; artificial neural networks; ANNs; decision making; optimisation; multicriteria decision making; MCDM; automotive suppliers; quality; delay time; unit cost; quantity; services; automobile industry.

DOI: 10.1504/IJICBM.2015.072428

International Journal of Indian Culture and Business Management, 2015 Vol.11 No.4, pp.457 - 472

Received: 07 Jun 2014
Accepted: 18 Nov 2014
Published online: 13 Oct 2015 *

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