A simulation methodology for evaluating emergency sourcing strategies of a discrete part manufacturer
by Christos Keramydas; Dimitris Tsiolias; Dimitrios Vlachos; Eleftherios Iakovou
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 7, No. 2, 2015

Abstract: Globalisation and technological evolution associated with critical socioeconomics changes altered the traditional supply chain (SC) nature, and the corresponding risk forms. Therefore, modern SCs are vulnerable to risks, and their effects (delays and disruptions of product, money, and information flows). Whilst the nature of the overall supply disruption problem is quantitative, the vast majority of the relevant literature efforts employs a qualitative approach. In this paper we focus on the evaluation of emergency sourcing (ES) risk mitigation strategies for a discrete part manufacturer, employing a quantitative approach. Specifically, a discrete event simulation methodology is developed using the Arena™ simulation software for the measurement of risk impacts on the organisation's performance, and the evaluation of alternative emergency/dual sourcing policies in terms of the premium cost paid to the alternative emergency supplier. The optimal emergency capacity that should be contracted from the alternative supplier is computed along with the associated cost savings.

Online publication date: Sun, 12-Apr-2015

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