Studying the effect of carbon tax policy on a dual-channel supply chain for deteriorating products

Mohammad Shafiee and Mahboobeh Honarvar

Journal of the Operational Research Society, 2024, vol. 75, issue 4, 766-783

Abstract: The present study tries to investigate a joint inventory-pricing control problem in a dual-channel supply chain network for deteriorating products under carbon tax regulations. To this end, a mathematical model is developed with an objective function that can maximize the total profit. Then, the model is solved using the hybrid algorithm combined with the simulated annealing (SA) algorithm and the Gradient descent search. The theoretical results show that the developed model is concave. Findings suggest that an increase in the deterioration rate reduces the total profit. Moreover, whenever the carbon tax rises, the manufacturer tends to decrease the number of deliveries to the retail store but increases the amount of the delivered products in order to avoid unnecessary costs. Based on our results, price elasticity is the most influential parameter to determine the total profit of the dual-channel supply chain for deteriorating products under carbon tax policies.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2023.2209110 (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:taf:tjorxx:v:75:y:2024:i:4:p:766-783

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20

DOI: 10.1080/01605682.2023.2209110

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald

More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().