With Parallel Evolution towards the Optimal Order Policy of a Multi-Location Inventory with Lateral Transshipments
نویسندگان
چکیده
The problem to find an optimal control for a multi-location inventory model with lateral transshipments in general can not be solved in an analytical way. The main reason for having only a few results on multi-location models with lateral transshipments is the fact that the solution of such models is connected with a lot of analytical and numerical problems. In the case of non-linear cost functions no analytical solutions exist until now, and they will hardly be expected. The present paper deals with the extension of our inventory model to standing expenses for orders (K>0). This new assumption was proved to be the reason for changing the form of the optimization problems’ objective function. Hence, there are no information about the structure of the optimal order and transport decisions to this day. Therefore, we will describe an optimization method which is based on the combination of simulation and parallel evolutionary algorithms. The objective is to select the best control strategy from a given set of different strategies and to optimize the parameters of this strategy.
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Approximate dynamic programming for lateral transshipment problems in multi-location inventory systems
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