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- Title
A CUDA approach to compute perishable inventory control policies using value iteration.
- Authors
Ortega, G.; García, I.; Hendrix, E. M. T.
- Abstract
Dynamic programming (DP) approaches, in particular value iteration, is often seen as a method to derive optimal policies in inventory management. The challenge in this approach is to deal with an increasing state space when handling realistic problems. As a large part of world food production is thrown out due to its perishable character, a motivation exists to have a good look at order policies in retail. Recently, investigation has been introduced to consider substitution of one product by another, when one is out of stock. Taking this tendency into account in a policy requires an increasing state space. Therefore, we investigate the potential of using GPU platforms in order to derive optimal policies when the number of products taken into account simultaneously is increasing. First results show the potential of the GPU approach to accelerate computation in value iteration for DP.
- Subjects
COMPUTERS in inventory control; DYNAMIC programming; ITERATIVE methods (Mathematics); APPLICATION software; GRAPHICS processing units; MARKOV processes; PERISHABLE goods
- Publication
Journal of Supercomputing, 2019, Vol 75, Issue 3, p1580
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-018-2692-z