An analytical framework for the design of service delivery systems: a co-production approach
by Truong Hong Trinh; Voratas Kachitvichyanukul
International Journal of Operational Research (IJOR), Vol. 17, No. 1, 2013

Abstract: The purpose of this paper is to develop an analytical framework for the design of service delivery systems. The framework employs co-production approach and develops a bi-level multi-objective model for developing service delivery strategy. For the upper level, co-production approach is employed to develop channel strategy that requires an objective trade-off between total cost and total utility. For the lower level, the data envelopment analysis (DEA) method is used for planning allocation policy with capacity constraints, in which output-oriented CCR models are employed to measure customer efficiency and productivity index. In order to deal with the objective trade-off problems, multi-objective partial swarm optimisation (MOPSO) algorithm is used to identify non-dominated feasible solutions (Pareto front) for the hypothetical service system. The experimental study is carried out to assess strategic approaches and allocation behaviours in service delivery systems. The results provide strategic options for the design of service delivery systems.

Online publication date: Tue, 29-Jul-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 Operational Research (IJOR):
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