The full text of this article
The impact of market state information on inventory performance
by Dmitriy S. Shaltayev, Charles R. Sox
International Journal of Inventory Research (IJIR), Vol. 1, No. 2, 2010
Abstract: This research studies the impact of market state information on the long run average cost of a single item inventory system facing dynamic, random demand. The probability distribution of the demand in any time period is determined by the current market state in that period which is modelled as a Markov chain. The inventory manager must infer the market state from the demand observations and a market state signal that is not necessarily accurate. The proposed model accommodates a range of different levels of accuracy for this market state information. The computational results indicate that the value of the market information increases at an increasing rate as the accuracy increases suggesting a strong, persistent value from increasing the information accuracy. The computational results also characterise the effects of lead time, the difference between the market state distributions, autocorrelation, and service level on the value of the market state information.
Online publication date: Fri, 05-Feb-2010
is only available to individual subscribers or to users at subscribing institutions.
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 Inventory Research (IJIR):
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 email@example.com