Volume 53, Number 3, July-September 2019
|731 - 747
|14 June 2019
Optimal dynamic pricing, preservation technology investment and periodic ordering policies for agricultural products
College of Management and Economics, Tianjin University, 300072 Tianjin, China
2 Business School, Hunan University, 410082 Changsha, China
* Corresponding author: firstname.lastname@example.org
Accepted: 30 May 2018
This paper focuses on the inventory management of agricultural products, a specific type of perishable items carrying the deterioration property. In practice, the deterioration rate of agricultural products is varying with time and can be slowed down via investing in the preservation technology. This objective of this paper is to maximize the firm’s total profit per unit time by simultaneously determining dynamic pricing, replenishment cycle length, replenishment quantity and preservation technology investment. We first derive pricing policy by solving a dynamic optimization problem and then propose a solution procedure to obtain the optimal strategies that maximize profit. Furthermore, numerical examples and sensitivity analysis are conducted to gain more managerial insights. We find that the firm should take a penetration pricing policy. In addition, if the shelf life of products is very long, the firm should not take preservation technology investment. When the unit holding cost is relatively small or the unit purchasing cost is relatively large, the firm should increase preservation technology investment.
Mathematics Subject Classification: 90B05 / 49J15
Key words: Agricultural products / time-varying deterioration rate / dynamic pricing / preservation technology investment / periodic ordering
© EDP Sciences, ROADEF, SMAI 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.