An integrated Delphi-AHP-DEA-LPP multi criteria decision making approach for supplier selection and order quantity allocation system Online publication date: Sat, 12-Jul-2014
by Rakesh D. Raut
International Journal of Logistics Systems and Management (IJLSM), Vol. 18, No. 3, 2014
Abstract: This paper, an integrated Delphi-AHP-DEA-LPP (DADLP)-based methodology has been divided into four stages. The first stage is Delphi method, where identification, synthesis and prioritisation of key performance factors and sub-factors are done and a novel consistent measurement scale is developed. Analytic hierarchy process (AHP) and data envelopment analysis (DEA)-linear programming (LP)-based multi-criteria decision-making methodology is then developed to take into account both qualitative and quantitative factors in supplier selection. While the AHP process matches product characteristics with supplier characteristics (using supplier ratings derived from pair wise comparisons) to qualitatively determine supply chain strategy, DEA mathematically determines the efficient supplier from the chosen suppliers. Since DEA and LP uses AHP ratings as input, the variations of pair wise comparisons in AHP will influences the final order quantity. Since DEA and LP use AHP ratings as input, the variations of pair-wise comparisons in AHP will influence the final order quantity.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 subs@inderscience.com