Abstract
This paper presents a stochastic vehicle routing and scheduling model with time window. The model explicitly incorporates the variable travel times on urban roads. It adopts a simulated annealing heuristic approach to approximately identify the optimal assignment and visiting order to customers of vehicles. The application of the model to a test network showed that freight carriers can generate the cost reduction by implementing the stochastic model compared with the forecast model.
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