EconPapers    
Economics at your fingertips  
 

Economic order quantity models for deteriorating items and partial backlogging when demand is quadratic in time

Jinn-Tsair Teng, Hui-Ling Yang and Maw-Sheng Chern

European Journal of Industrial Engineering, 2011, vol. 5, issue 2, 198-214

Abstract: In this paper, we extend the inventory lot-size model introduced in Ghosh and Chaudhuri (2006) to allow for partial backlogging. In addition, we also relax their assumptions of equal replenishment cycles and constant shortage lengths. For any given number of replenishment cycles, we show that the optimal replenishment schedule exists uniquely. We then prove that the total relevant cost is a convex function of the number of replenishments. Consequently, we propose an algorithm to find the optimal replenishment number and schedule. Finally, we run several numerical examples, and obtain some managerial implications by using sensitivity analyses. [Received 18 November 2009; Revised 18 February 2010; Revised 27 April 2010; Accepted 28 April 2010]

Keywords: inventory modelling; deterioration; partial backlogging; quadratic demand; economic order quantity; EOQ; lot size modelling; deteriorating items. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=39872 (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:ids:eujine:v:5:y:2011:i:2:p:198-214

Access Statistics for this article

More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:eujine:v:5:y:2011:i:2:p:198-214