A multi-criteria decision making model for readiness assessment of vendor managed inventory in healthcare
by Detcharat Sumrit
International Journal of Management and Decision Making (IJMDM), Vol. 18, No. 4, 2019

Abstract: The use of vendor managed inventory (VMI) approach has been increasingly implemented in recent years, especially in the healthcare industry. It causes by cost-ineffectiveness and uncertain information both qualitative and quantitative data. To deal with these obstacles, a hybrid multi-criteria decision making (MCDM) method for VMI assessment is proposed in this article. This integrated MCDM comprises DEMATEL-based analytic network process (DANP) method in order to investigate the relationship among readiness criteria, and to construct the complex evaluation system. Finally, the modified VIKOR is used to evaluate the criteria that influence the adoption of VMI. Based on empirical case study for hospitals in Thailand, the result shows that provincial hospital has the highest potential readiness in VMI adoption, followed by university hospital and private hospital. Besides, the priority criteria improvements of each hospital are quite different, which the findings should assist hospital managers to pay an attention to the readiness assessment before VMI adoption.

Online publication date: Mon, 30-Sep-2019

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 Management and Decision Making (IJMDM):
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