A fuzzy analytical hierarchy process approach for prioritising the buyers in selling by-product of a sugar plant Online publication date: Thu, 31-Mar-2016
by A. Rajkumar; P. Malliga
International Journal of Logistics Systems and Management (IJLSM), Vol. 24, No. 1, 2016
Abstract: World sugar market is not healthier because of higher production cost and lower selling price of sugar. Efforts have been taken to elucidate this while remedies include improving the revenues of sugar plant from selling of sugarcane by-products like molasses. Buyer selection and prioritisation is very complex since it involves quantitative and qualitative multi-criterion. In most of the real time problems, some of the decisions can be exactly assessed while others cannot. Essentially, the uncertainty in the preference judgements gives rise to uncertainty in ranking of alternatives in selecting the appropriate buyer. In this paper, a fuzzy analytical hierarchy process-based (FAHP) buyer selection model has been formulated and implemented in a sugar plant in Tamilnadu, India. The fuzziness of the decision maker for dealing with complex decisions involving multiple criteria in systems of many levels is considered here. The main and sub-criteria influencing the buyer selection are identified for structuring the FAHP model and finally the buyers were prioritised. The results exhibit the prioritised buyer and other alternatives.
Online publication date: Thu, 31-Mar-2016
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 Logistics Systems and Management (IJLSM):
Login with your Inderscience username and 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 firstname.lastname@example.org