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Coordination contracts for a dual-channel supply chain under capital constraints
- Source :
- Journal of Industrial & Management Optimization. 17:1485-1504
- Publication Year :
- 2021
- Publisher :
- American Institute of Mathematical Sciences (AIMS), 2021.
-
Abstract
- Manufacturers often face capital constraints when opening up online channel, at this time external financing and internal financing are usually considered. Previous literature has shown that internal financing, turns out to be a better option. To figure out how trade credit financing discount contract affects operations and performances of supply chain, this paper studies the pricing decision of a retailer-dominant dual-channel supply chain with manufacturer's capital constraints. The Stackelberg game models under centralized decision and decentralized decision are constructed. Moreover, this paper conducts research about the effects of revenue-sharing (RS) contract, direct channel price discount (DP) contract and retail channel price discount (RP) contract on the performance of supply chain. Numerical examples are provided to explore the comparison of the optimal pricing strategies and total profits under different contracts. The results show that the retailer prefers RS and DP contracts to RP contract. Among them, RS contract has a broader scope of coordination, while DP contract can achieve a higher profit. The results can serve as insights for decision-makers to choose the most appropriate financial discount contract.
- Subjects :
- 0209 industrial biotechnology
021103 operations research
Control and Optimization
Advance payment
Applied Mathematics
Strategy and Management
Supply chain
0211 other engineering and technologies
02 engineering and technology
Atomic and Molecular Physics, and Optics
Profit (economics)
Microeconomics
020901 industrial engineering & automation
Pricing strategies
Trade credit
Internal financing
Stackelberg competition
Business
External financing
Business and International Management
Electrical and Electronic Engineering
Subjects
Details
- ISSN :
- 1553166X
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Journal of Industrial & Management Optimization
- Accession number :
- edsair.doi...........927cd96774de3ef866e0b05a4491f672
- Full Text :
- https://doi.org/10.3934/jimo.2020031