Sharing planned factory shutdown information in supply chain systems: an agent-based modelling approach Online publication date: Wed, 22-Jul-2015
by Ghada A. Deghedi; Yasser M. Ibrahim
International Journal of Management and Decision Making (IJMDM), Vol. 14, No. 2, 2015
Abstract: Reverse information sharing (RIS) has recently received attention as an essential complementary coordination mechanism to the typical downstream IS in supply chain (SC) systems. This paper comprehensively discusses the behaviour of a SC system under the condition of planned factory shutdown. The significance of sharing shutdown information for the whole SC and each of its actors is investigated under different inventory/backorder cost ratios (I/B-CRs) and various production capacities. A modified beer game that allows factory shutdown is represented as a four-stage serial SC. A deterministic market demand, with demand IS in place, is assumed. An agent-based model is developed for simulating different scenarios. The results demonstrate that RIS prevents the accumulation of backorder and reduces the overall SC cost by almost 50%. The results, nevertheless, show that the significance of RIS is relative to the I/B-CR and production capacity.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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:
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
Our Blog 
Follow us on Twitter 
Visit us on Facebook