EconPapers    
Economics at your fingertips  
 

An EOQ model for non-instantaneous deteriorating items with partial backlogging and permissible delay in payments under inflation

M. Palanivel and R. Uthayakumar

International Journal of Industrial and Systems Engineering, 2017, vol. 26, issue 1, 63-89

Abstract: In this paper, an economic order quantity (EOQ) model for non-instantaneous deteriorating items with permissible delay in payments under the effect of inflation and time value of money is presented. The demand is considered as a deterministic function which includes selling price and advertisement cost. Also in this model, shortages are allowed and partially backlogged. The backlogging rate is dependent on the waiting time for the next replenishment. The objective of this model is to minimise the total inventory cost of the retailer by finding the optimal length of time in which there is no inventory shortage and finding the optimal order quantity. Numerical examples are given to justify the model. Sensitivity analysis of the model with respect to several system parameters has been carried out and the implications are discussed in detail.

Keywords: non-instantaneous deterioration; partial backlogging; permissible delay; payment delays; inflation; economic order quantity; EOQ model; deteriorating items; selling prices; advertisement costs; inventory cost; inventory management. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=83181 (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:ijisen:v:26:y:2017:i:1:p:63-89

Access Statistics for this article

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

 
Page updated 2025-03-19
Handle: RePEc:ids:ijisen:v:26:y:2017:i:1:p:63-89