A framework for selection of logistics outsourcing partner in uncertain environment using TOPSIS
by Rajesh Gupta; Anish Sachdeva; Arvind Bhardwaj
International Journal of Industrial and Systems Engineering (IJISE), Vol. 12, No. 2, 2012

Abstract: With globalisation and liberalisation, the markets are turning competitive. The key area for industry now is to make the product available to the end customer in time, without damage and loss due to over or under stocking. Hence, logistics is seen as an important area where industries can cut costs and improve their customer service quality. The latest trend is to outsource logistics activities to allow the outsourcing company to concentrate on the core competence, improve the service and reduce the capital cost. In this paper, a framework is proposed to select the most suitable outside Logistics Company (3PL) using fuzzy Delphi method to shortlist the most important criteria and fuzzy technique for order performance by similarity to idea solution (TOPSIS) to choose the best 3PL by finding the closeness to the positive ideal solution. The weights to the opinion of decision-makers (DMs) are assigned according to their qualification, experience and designation. The integrated approach of fuzzy Delphi and fuzzy TOPSIS enhances the accuracy of the result and proves to be helpful for the DMs. A case study is conducted in an automobile company in North India to select the best suitable 3PL service providers to demonstrate the proposed methodology.

Online publication date: Sat, 20-Dec-2014

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 Industrial and Systems Engineering (IJISE):
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