 Supplier selection using artificial neural network and genetic algorithmNitesh Asthana and Manish Gupta International Journal of Indian Culture and Business Management, 2015, vol. 11, issue 4, 457-472 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. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijicbm:v:11:y:2015:i:4:p:457-472 Access Statistics for this article More articles in International Journal of Indian Culture and Business Management from Inderscience Enterprises Ltd |
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