Volume 53, Number 2, April-June 2019
|Page(s)||609 - 626|
|Published online||05 June 2019|
Optimal product quality and pricing strategy for a two-period closed-loop supply chain with retailer variable markup
Department of Mathematics, Jadavpur University, Kolkata 700 032, India
2 Department of Mathematics, Gurudas College, Kolkata 700 054, India
* Corresponding author: email@example.com
Accepted: 7 September 2017
In this paper, we consider a two-period closed-loop supply chain which is comprised of a single manufacturer and a single retailer for trading a single product. At the retailer, the demand in the first period depends on the selling price, product quality and refund price, whereas in the second period, it depends on the selling price and the product quality. The retailer sets the selling prices with variable markups on the wholesale prices of the manufacturer and offers a return policy (immediate return and used product return) limited to the first period only. The immediate return is dependent on the refund price and the product quality, and the amount of returned used items is a fraction of the first period’s demand. The retailer sends the returned items to the manufacturer who reproduces/repairs those items and sells in the second period. We assume that the manufacturer acts as the Stackelberg leader and the retailer as the follower. We study the impacts of return policy, product quality and pricing strategy on the optimal decisions under two decision strategies (I and II). In the decision strategy I, both the players optimize their total profits over the entire selling season, whereas in the decision strategy II, they optimize each period’s profit sequentially. With the help of a numerical example we explore that the decision strategy I gives better result than the decision strategy II in terms of all decision variables except the product quality. We also investigate the effects of key model-parameters on the optimal decisions.
Mathematics Subject Classification: 90B05 / 90B06
Key words: Closed-loop supply chain / retailer variable markup / two-period model / remanufacturing / return policy / product quality / pricing strategy
© 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.