Abstract
This paper investigates how the information about supply disruption that is available to manufacturers affects the optimal sourcing strategy. A Markov decision process model of a single manufacturer with two suppliers is analysed under different assumptions about the information available on the occurrence of disruption and the length of recovery. The model also considers the impact of disruption to one supplier on the performance of the other supplier, an issue that is often overlooked in the literature. A comparison of the optimal policies under the various scenarios provides insight on the management of the disruptions to the supply chain.
Original language | English |
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Publication status | Published - 2015 |
Event | 27th European Conference on Operational Research (EURO 2015) - Glasgow, United Kingdom Duration: 12 Jul 2015 → 15 Jul 2015 |
Conference
Conference | 27th European Conference on Operational Research (EURO 2015) |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 12/07/15 → 15/07/15 |
Keywords
- Supply chain management
- Dynamic programming
- Stochastic models