engleski

Using Data Mining to Forecast Uncertain Demands in Stochastic Vehicle Routing Problem

In the field of vehicle routing, relatively limited attention has been paid to the topics such as stochastic demand. With the data warehouse infrastructure and data mining tools it is possible to predict such variable constraints. This could enable more efficient route construction and as consequence the number of non accomplished routes could be reduced. The paper proposes database infrastructure, data mining module and VRP solver for prediction of uncertain demand. Proposed VRP solver uses constructive, heuristic and metaheuristic algorithms to solve a problem with demanded data.

VRP; VRPSD; data warehouse; data mining

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