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2004

Simulation-Based Optimization for Material Dispatching in a Retailer Network

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Simulation-Based Optimization for Material Dispatching in a Retailer Network
This paper presents preliminary work done on simulationbased optimization of a stochastic material-dispatching system in a retailer network. The problem we consider is one of determining the optimal number of trucks and quantities to be dispatched in such a system. Theoretical solution models for versions of this problem can be found in the literature. Unlike most theoretical models, we can accommodate many real-life considerations, such as arbitrary distributions of the governing random variables, and all important cost elements, such as inventory-holding costs, stock-out costs, and transportation costs. We have used two techniques, namely, neuro-response surfaces and simulated annealing, for optimizing our system. We have also used a problem-specific heuristic, known as the mean demand heuristic, to provide us with a good starting point for simulated annealing and a benchmark for our other methods. Some computational results are also provided.
Ganesh Subramaniam, Abhijit Gosavi
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where WSC
Authors Ganesh Subramaniam, Abhijit Gosavi
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