EconPapers    
Economics at your fingertips  
 

Purchasing inventory models for exponential demand with deteriorating items and discounted cost-in third order equation

C.K. Sivashankari

International Journal of Procurement Management, 2019, vol. 12, issue 3, 321-335

Abstract: The purpose of this article is to present a solution procedure for the inventory problem of deteriorating items and exponential demand and taking account of time value of money. Also, most of the works on inventory models do not take the optimal solution in higher order equation. In this paper, inventory models for deteriorative items with time dependent exponential demand under inflation and the optimum solution is derived in higher order equations. Two models are developed and the optimum time and total cost are derived: 1) when the demand is exponential with deteriorative items; 2) demand is exponential with deteriorative items and discounted cost. Mathematical models are developed for each model and the optimum time and optimal lot size which minimises the total cost is derived. The objective of this paper is to find the optimal cycle time and optimal quantity which minimise the total cost. Numerical examples are given to illustrate the theoretical results and made the sensitivity analysis of parameters on the optimal solutions. The validation of result for this model was coded in Microsoft Visual Basic 6.0.

Keywords: third order equation; inventory; deteriorating; exponential demand; discounted cost. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=99551 (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:ijpman:v:12:y:2019:i:3:p:321-335

Access Statistics for this article

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

 
Page updated 2025-03-19
Handle: RePEc:ids:ijpman:v:12:y:2019:i:3:p:321-335