An EOQ model with deteriorating items under inflation when supplier credits linked to order quantity [An article from: International Journal of Production Economics]
Book Details
Author(s)C.-T. Chang
PublisherElsevier
ISBN / ASINB000RR0PAG
ISBN-13978B000RR0PA2
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from International Journal of Production Economics, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This study proposes an inventory model under a situation in which the supplier provides the purchaser a permissible delay of payments if the purchaser orders a large quantity. Shortages are not allowed and the effect of the inflation rate, deterioration rate and delay in payment are discussed as well. As a result, in this paper, we establish an EOQ model for deteriorating items under inflation when the supplier offers a permissible delay to the purchaser if the order quantity is greater than or equal to a predetermined quantity. We then characterize the optimal solution and provide an easy-to-use algorithm to find the optimal order quantity and replenishment time. Finally, some numerical examples are given to illustrate the theoretical results and made the sensitivity analysis of parameters on the optimal solutions.
Description:
This study proposes an inventory model under a situation in which the supplier provides the purchaser a permissible delay of payments if the purchaser orders a large quantity. Shortages are not allowed and the effect of the inflation rate, deterioration rate and delay in payment are discussed as well. As a result, in this paper, we establish an EOQ model for deteriorating items under inflation when the supplier offers a permissible delay to the purchaser if the order quantity is greater than or equal to a predetermined quantity. We then characterize the optimal solution and provide an easy-to-use algorithm to find the optimal order quantity and replenishment time. Finally, some numerical examples are given to illustrate the theoretical results and made the sensitivity analysis of parameters on the optimal solutions.
