Supplier selection using artificial neural network and genetic algorithm
by Nitesh Asthana; Manish Gupta
International Journal of Indian Culture and Business Management (IJICBM), Vol. 11, No. 4, 2015

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.

Online publication date: Tue, 13-Oct-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Indian Culture and Business Management (IJICBM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com