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dc.contributor.authorZheng, Meimeien_US
dc.contributor.authorWu, Kanen_US
dc.contributor.authorSun, Cunwuen_US
dc.contributor.authorPan, Ershunen_US
dc.identifier.citationZheng, M., Wu, K., Sun, C. & Pan, E. (2019). Optimal decisions for a two-echelon supply chain with capacity and demand information. Advanced Engineering Informatics, 39, 248-258.
dc.description.abstractDue to the applications of Internet of Things and big data in the Industry 4.0 context, more information in and out of a smart factory can be collected and shared between manufacturers and retailers. In this study, we consider two types of information that can be available in a supply chain consisting of a manufacturer and a retailer in Industry 4.0: the capacity information for the later rush production and the demand information shared between the retailer and manufacturer. In the supply chain, the manufacturer provides two orders with maximum limits by using a capacitated normal production and two capacitated rush production modes. To study the effects of the information, we investigate the optimal decisions and profits for the supply chain with and without the capacity information and demand information sharing. In addition, we propose a coordination mechanism for the supply chain with both the capacity information and demand information sharing. The coordination mechanism does not only rely on cost parameters, but also on the capacity and demand information. The numerical examples show that the supply chain profit can be improved by as large as 16.76% in the coordinated system, compared with the original system without the capacity information and demand information sharing.en_US
dc.relation.ispartofAdvanced Engineering Informaticsen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleOptimal decisions for a two-echelon supply chain with capacity and demand informationen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.subject.keywordsSupply Chain Managementen_US
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