Continuous accounting of inventory costs with Brownian-motion and Poisson demand processes
Tal Avinadav ()
Annals of Operations Research, 2015, vol. 229, issue 1, 85-102
Abstract:
We investigate a periodic review inventory system with demand that is either a Brownian motion or a Poisson process and with costs that accrue in continuous time over the period (and not at the end of the period). We find explicit expressions for the expected inventory costs and for the optimality equation. On the basis of these expressions, a simple search can be designed to obtain the optimal order-up-to level. In addition, we develop a new distribution function with a closed-form quantile function to approximate this level. The approximation can be adjusted to consider lead time. Numerical examples show that the suggested approximation produces substantially lower deviations from the optimal solution compared with approximations recommended in the literature. Copyright Springer Science+Business Media New York 2015
Keywords: Inventory; Stochastic-periodic review; Accounting scheme; Mixture; Sensitivity analysis (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10479-014-1757-5 (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:spr:annopr:v:229:y:2015:i:1:p:85-102:10.1007/s10479-014-1757-5
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-014-1757-5
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().