Multi-criteria decision and multivariate statistical approaches improve olive supply chains: a review
by Rupesh Kumar
International Journal of Value Chain Management (IJVCM), Vol. 8, No. 3, 2017

Abstract: The olive oil supply chain stages have been studied extensively in both EU and non-EU countries. Various decision-making approaches have been proposed to tackle the problem. This study reviews different individual and integrated approaches like multi-criteria decision analysis (MCDA), multivariate and others to measure olive oil sector in different countries. The study provides insights for evaluating certain supply chain criteria using various methods. The finding will help in knowing the suitable approaches which have frequently been applied to solving the particular criteria. A few suggestions are recommended for researchers and decision makers who may apply MCDA methods more effectively.

Online publication date: Fri, 29-Sep-2017

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 Value Chain Management (IJVCM):
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