EconPapers    
Economics at your fingertips  
 

Effect of shape of the demand function and permissible delay in payments on economic order quantity of high technology products

Alok Kumar and Udayan Chanda

International Journal of Services and Operations Management, 2017, vol. 28, issue 2, 243-263

Abstract: Often, sales curve of a technology product exhibit a small peak and then decline, before continuing with the traditional bell shaped curve. Under this situation sales curve of the technology products show bimodal pattern. Traditional EOQ models have ignored the bimodal pattern of demand phenomenon during development of the policy frameworks. The approach in this paper is to study the effect of bimodal demand function, on economic order quantity model. Based on hazard rate demand, an integrated EOQ model is discussed in the paper for permissible delay in payments, under the assumption that supplier may offer credit periods to the retailer. The proposed framework is demonstrated with a numerical example and a comprehensive sensitivity analysis is also performed to validate effectiveness of the model.

Keywords: economic order quantity; EOQ; hazard rate; bimodal demand function; permissible delay in payments. (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=86313 (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:ijsoma:v:28:y:2017:i:2:p:243-263

Access Statistics for this article

More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijsoma:v:28:y:2017:i:2:p:243-263