Optimising the credit term decisions in a dual-channel supply chain
Wenguang Tang,
Haitao Li and
Kaihao Cai
International Journal of Production Research, 2021, vol. 59, issue 14, 4324-4341
Abstract:
We study the problem of credit term optimisation in a dual-channel supply chain setting, where a manufacturer serves as the leader in a Stackelberg game to determine the credit term and wholesale price for its retailer, in conjunction with the pricing decision for its direct sales channel. The retailer optimises its retail price given the credit term and wholesale price prescribed by the manufacturer. Decentralised optimal solutions are obtained to optimise the manufacturer's credit term decision while anticipating the retailer's autonomous price optimisation decision. Then a centralised decision paradigm is analysed to show the increase of total profitability through cooperation. In order to incentivise both parties to cooperate, we propose a new credit term-based contract for coordinating the dual-channel supply chain and devise a profit-sharing scheme for the manufacturer and retailer to achieve a win-win. Numerical studies are performed to obtain additional managerial insights.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2020.1762018 (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:tprsxx:v:59:y:2021:i:14:p:4324-4341
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2020.1762018
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().