A comparative study of optimal replenishment policy for a retailer in declining market
Subrata Saha
International Journal of Procurement Management, 2015, vol. 8, issue 5, 517-533
Abstract:
The aim of this article is to provide an analytical solution to a retailer whether to adopt positive stock on hand or stockless inventory policy. Mathematical models are developed for both the policies for a product with price and time sensitive demand to maximise the profit functions. Here, unlike the conventional inventory models with pricing strategy, which were restricted to pre-specified replenishment or pricing cycle times and hence fixed number of price changes over the finite time horizon, we allow the number of price changes to be a decision variable for both policies. Within a fixed planning horizon, existence and uniqueness of optimal solutions are verified. A solution procedure is presented to determine optimal inventory policy and corresponding optimal prices, optimal number of pricing cycles, optimal lot size and optimal profit simultaneously. Numerical examples are provided to illustrate the development of the models.
Keywords: inventory modelling; pricing; time-price sensitive demand; replenishment policy; retailers; declining markets; mathematical modelling; price changes; decision variables; inventory policy; optimal prices; pricing cycles; lot sizes; optimal profit. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=70897 (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:8:y:2015:i:5:p:517-533
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 ().