Optimal inventory policy under price and time-dependent demand and partial backlogging supported by preservation strategy
S. Loganayaki and
K. Kirupa
International Journal of Procurement Management, 2025, vol. 22, issue 4, 450-485
Abstract:
The present study outlines an inventory model for non-instantaneous deteriorating items with an investment in preservation technology. The deterioration rate is modelled using a two-parameter Weibull distribution, and customer demand is dependent on both time and selling price. Accordingly, the demand rate is a multiplication of a power time function and an exponential price function. The inventory system permits partial backlogging of demand. Additionally, the supplier extends a trade credit facility to the retailer for the smooth operation of the business. Three cases are analysed based on the credit facility. The primary objective of the study is to ascertain the maximum profit by identifying the optimal values for preservation technology investment, selling price, positive inventory time, and cycle time. An algorithm for profit maximisation is formulated and validated through numerical examples. Subsequently, a sensitivity analysis is conducted, and the study provides valuable managerial insights derived from the findings.
Keywords: inventory; non-instantaneous deterioration; Weibull distribution; nonlinear holding cost; power demand pattern; partial backlogging; trade credit; preservation technology investment. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=145093 (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:22:y:2025:i:4:p:450-485
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 ().