Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150641
Title: Optimal decisions for a two-echelon supply chain with capacity and demand information
Authors: Zheng, Meimei
Wu, Kan
Sun, Cunwu
Pan, Ershun
Keywords: Engineering::Mechanical engineering
Issue Date: 2019
Source: Zheng, 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. https://dx.doi.org/10.1016/j.aei.2019.01.008
Journal: Advanced Engineering Informatics
Abstract: Due 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.
URI: https://hdl.handle.net/10356/150641
ISSN: 1474-0346
DOI: 10.1016/j.aei.2019.01.008
Rights: © 2019 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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