A Partial Backlogging Inventory Model with Time-Varying Demand During Shortage Period

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Author(s)

Chen Mang 1,* Fu Zhuo 1

1. School of Traffic and Transportation Engineering,Central South University,Changsha, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2010.01.04

Received: 3 Feb. 2010 / Revised: 10 Jun. 2010 / Accepted: 23 Aug. 2010 / Published: 8 Nov. 2010

Index Terms

EOQ model, partial backlogging, shortage

Abstract

Harris’s classic square root economic order quantity (EOQ) model forms the basis for many other models that relax one or more of its assumptions. A key assumption of the basic EOQ model is that stockouts are not permitted. Due to the excess demands, stock-out situations may arise occasionally. Sometimes, shortages are permitted and they are backordered and satisfied in the very next replenishment. Therefore the objective of this paper is to develop a partial backlogging inventory model, and proposes a new algorithm to minimize the total cost, at the same time also propose the prediction method and algorithm of ordering period. Finally, a practical example of the numerical analysis is given.

Cite This Paper

Chen Mang, Fu Zhuo,"A Partial Backlogging Inventory Model with Time-Varying Demand During Shortage Period", International Journal of Intelligent Systems and Applications(IJISA), vol.2, no.1, pp.23-29, 2010. DOI: 10.5815/ijisa.2010.01.04

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