Dual-channel supply chain coordination considering targeted capacity allocation under uncertainty
| Autor: | Fatemeh Zand, Javad Asl-Najafi, Saeed Yaghoubi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Numerical Analysis
General Computer Science Operations research Computer science Applied Mathematics Supply chain Yield (finance) Pareto principle Tariff 010103 numerical & computational mathematics 02 engineering and technology 01 natural sciences Theoretical Computer Science Dual (category theory) Order (business) Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Production (economics) 020201 artificial intelligence & image processing 0101 mathematics Communication channel |
| Zdroj: | Mathematics and Computers in Simulation. 187:566-585 |
| ISSN: | 0378-4754 |
| DOI: | 10.1016/j.matcom.2021.03.019 |
| Popis: | This paper investigates a dual-channel supply chain (SC) composed of a manufacturer and retailer in which the manufacturer confronts random yield issues. Since supply uncertainty may lead to a production shortage, the manufacturer faces the problem of allocating the products to traditional/online channels. To address this problem, a novel product-allocation policy is developed in which the limited supply is allocated to traditional and online channels under a flexible strategy called “targeted capacity allocation”. In order to coordinate the proposed decentralized channel, a two-part tariff contract is suggested. Furthermore, opening a direct channel besides brick-and-mortar stores is discussed through analytical results. Then, the effectiveness of the targeted capacity allocation policy is investigated by comparing the results of the current model with a case, in which, the same policy is not applied. By doing so, some interesting managerial insights on the merit of applying the capacity allocation policy in managing dual-channel SCs under yield uncertainty are revealed. Finally, numerical analysis shows that the proposed contract can perfectly coordinate the SC and achieve the Pareto improving solution for both partners. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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