Improving profitability of vehicle routing problems through advanced analytics
Vercamer, Dauwe Van den Poel, Dirk Gendreau, Michel Baecke, Philippe
Vercamer, Dauwe
Van den Poel, Dirk
Gendreau, Michel
Baecke, Philippe
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Conference Presentation
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Publication Year
2014
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Book
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Abstract
Based on a real case in door-to-door sales, the study assesses whether revenue predictions coming from transactional data can effectively be used to improve fleet schedules. To do this, two different customer selection models are compared. In the static model, customers are first chosen based on the revenue predictions and then routed through a VNS. The dynamic model uses the predictions in an orienteering problem. Initial results show that the dynamic approach is the most profitable.
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Keywords
Marketing