Information sharing in Capacity Constrained Supply ChainsInternational Journal of Production Research (2011)
AbstractWe present a modelling approach for quantifying the value of information in supply chains using Markov decision processes (MDP). The case where information sharing occurs is modelled using a completely observable MDP. A restricted observation MDP is used to model the case where no information sharing occurs. We illustrate the use of this framework on a two-stage capacity-constrained supply chain consisting of a supplier and a retailer. We quantify the value of information sharing in this setting and construct several performance measures to identify the benefits to both the retailer and supplier as a result of the information sharing partnership.
- Markov decision process,
- supply chain information sharing
Citation InformationLauren B Davis, Russell E King, Thom J Hodgson and Wenbin Wei. "Information sharing in Capacity Constrained Supply Chains" International Journal of Production Research Vol. 49 Iss. 24 (2011)
Available at: http://works.bepress.com/lauren_b_davis/2/