An optimal ordering policy for deteriorating items with partial backlogging and time varying selling price and purchasing cost under inflation
Hui-Ling Yang
International Journal of Operational Research, 2018, vol. 31, issue 3, 403-419
Abstract:
In the last several years, most countries have suffered from large-scale inflation and sharp decline in the purchasing power of money. Due to high inflation rate, the time value of money goes down and the future worth of saving decreases. As a result, large capital to purchase item is needed, the selling price and purchasing cost is also affected. Consequently, it will highly affect the return on investment. Therefore, to consider both the inflationary effect and fluctuated selling price and purchasing cost simultaneously is important. Thus, I develop the inventory lot-size model as introduced in Yang (2012) and further take the effect of inflation into account. The proposed model also allows for: 1) time-varying demand; 2) time-varying partial backlogging rate; 3) time-varying selling price and purchasing cost which changed from one replenishment cycle to another. Based on profit maximisation, the optimal replenishment schedule which maximises the total profit exists uniquely. Sensitivity analysis for managerial policymaking is also performed. From the sensitivity analysis, we know that the total profit is relatively influenced by considering the effect of inflation as the selling price and purchasing cost is fluctuated at the replenishment time.
Keywords: inventory; deterioration; partial backlogging; time varying; inflation. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=89739 (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:ijores:v:31:y:2018:i:3:p:403-419
Access Statistics for this article
More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().