A multiple-factor decision analysis framework for manufacturing outsourcing
by F. Fred Choobineh; Esmail Mohebbi; Bashar Al-Salim
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 5, No. 3, 2013

Abstract: The competitiveness of the global market and availability of multiple outsourcing options have greatly increased the complexity of making 'good' outsourcing decisions. Improving the decision-making process when faced with a complex decision situation requires a systematic decision-making framework. We propose such a framework for making strategic manufacturing outsourcing decisions that benefits from prominent decision analysis tools. We envision a multiple factor outsourcing decision model and specifically advocate the use of: 1) value-focused thinking to identify the outsourcing objectives; 2) a combination of an influence diagram and a decision tree to model the decision situation; 3) the cumulative prospect theory as an alternative to traditional utility theory for modelling the risk behaviour of the decision maker; 4) the prospect stochastic dominance to establish pair-wise dominance between outsourcing choices. We have developed a procedure for dividing the outsourcing choices into dominated and non-dominated sets, and rank ordering the elements of non-dominated set to identify the best strategy.

Online publication date: Fri, 28-Feb-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 Data Analysis Techniques and Strategies (IJDATS):
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