Optimal (,, ) batch-ordering policy under stationary demand
A.G. Lagodimos,
I.T. Christou and
K. Skouri
International Journal of Systems Science, 2012, vol. 43, issue 9, 1774-1784
Abstract:
We consider the control of a single-echelon inventory system under the standard batch-ordering policy. Demand follows a stationary stochastic process and, when unsatisfied, is backordered. Under a standard cost structure, we seek to minimise total average cost per unit time. In contrast to previous research, all three policy variables (i.e. reorder level r, batch size Q and review interval T) are simultaneously optimised. While average total cost is not convex, analytic properties for two new cost bounds and a Newsboy characterisation of the optimal solution lead to an exact search algorithm with guaranteed convergence to the global optimum. Computational results demonstrate that the inclusion of the review interval as a decision variable in the optimisation problem can offer substantial cost savings.
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2011.555010 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:43:y:2012:i:9:p:1774-1784
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20
DOI: 10.1080/00207721.2011.555010
Access Statistics for this article
International Journal of Systems Science is currently edited by Visakan Kadirkamanathan
More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().