Abstract
As we have seen, managing perishables when demand is uncertain is a challenging problem. When demand is known, one can always find an ordering rule that guarantees no outdating. Hence, at first glance, it would appear that the deterministic demand case is trivial. However, this is not the true when demand is nonstationary.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chu LY, Hsu VN, Shen M (2005) An economic lot-sizing problem with perishable inventory and economies of scale costs: approximation solutions and worst case analysis. Naval Research Logistics 52:536–548
Friedman Y, Hoch Y (1978) A dynamic lot size model with inventory deterioration. INFOR 16:183–188
Hsu VN (2000) Dynamic economic lot size model with perishable inventory. Management Science 46:1159–1169
Hsu VN (2003) An economic lot size model for perishable products with age dependent inventory and backorder costs. IEE Transactions 35:775–780
Hsu VN, Lowe TJ (2001) Dynamic economic lot size models with period-pair dependent backorder and inventory costs. Operations Research 49:316–321
Nahmias, S. (2009) Production and Operations Analysis, Sixth Edition. McGraw Hill/Irwin, Burr Ridge, Illinois, 787 pages.
Smith LA (1975) Simultaneous inventory and pricing decisions for perishable commodities with price fluctuation constraints. INFOR 13:82–87
Wagner HM, Whitin TM (1958) Dynamic version of the economic lot size model. Management Science 5:89–96
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Nahmias, S. (2011). Deterministic Models. In: Perishable Inventory Systems. International Series in Operations Research & Management Science, vol 160. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7999-5_7
Download citation
DOI: https://doi.org/10.1007/978-1-4419-7999-5_7
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-7998-8
Online ISBN: 978-1-4419-7999-5
eBook Packages: Business and EconomicsBusiness and Management (R0)