A hybrid approach based on BOCR and fuzzy MULTIMOORA for logistics service provider selection
by Anjali Awasthi; Tomas Baležentis
International Journal of Logistics Systems and Management (IJLSM), Vol. 27, No. 3, 2017

Abstract: Partner selection is critical to developing successful collaboration for gaining competitive advantage in the logistics industry. In this paper, we present a hybrid approach based on BOCR and MULTIMOORA for the logistics service provider selection. The proposed approach comprises three steps. In the first step, we identify the partner selection criteria using four categories namely benefits, costs, opportunities and risks (BOCR). The second step involves generating linguistic ratings for potential partners on the identified criteria by a committee of decision-making experts. In the third and the last step, final partner selection is done using fuzzy MULTIMOORA. Linguistic information (fuzzy numbers) is used to address the lack of quantitative data. A numerical application is provided. Monte Carlo simulationbased sensitivity analysis is conducted to determine the robustness of MULTIMOORA to variation in criterion and decision maker weights. The strength of our work is the ability to perform logistics partner selection under limited or lack of quantitative data. Besides, BOCR technique allows evaluation of logistics partners from multiple perspectives namely benefits, costs, opportunities and risks. The use of MULTIMOORA technique permits the generation of robust alternative rankings due to incorporation of three inbuilt evaluation functions.

Online publication date: Wed, 07-Jun-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 Logistics Systems and Management (IJLSM):
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