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A novel solution approach for large-scale VRP with stochastic customers

Dauwe Vercamer (UGent) , Dirk Van den Poel (UGent) and Birger Raa (UGent)
Author
Organization
Abstract
In the door-to-door sales industry, it often occurs that a customer is not at home. Not using this information when making sales routes may result in low profits. In order to maximize the profitability, we use predictive analytics to determine each customer’s lifetime value, including variables measuring the percentage of time they are home. This information is then used to determine which customers can enter the routes given the fleet size constraint. We then use a VNS to allocate all remaining clients to one of the routes. Our research was successfully implemented at a Belgian company.
Keywords
Stochastic, Predictive Analytics, VNS, Vehicle Routing Problem

Citation

Please use this url to cite or link to this publication:

MLA
Vercamer, Dauwe, Dirk Van den Poel, and Birger Raa. “A Novel Solution Approach for Large-scale VRP with Stochastic Customers.” Euro-Informs Joint International Conference, Abstracts. 2013. 418–418. Print.
APA
Vercamer, D., Van den Poel, D., & Raa, B. (2013). A novel solution approach for large-scale VRP with stochastic customers. Euro-Informs joint international conference, Abstracts (pp. 418–418). Presented at the Euro-Informs joint international conference.
Chicago author-date
Vercamer, Dauwe, Dirk Van den Poel, and Birger Raa. 2013. “A Novel Solution Approach for Large-scale VRP with Stochastic Customers.” In Euro-Informs Joint International Conference, Abstracts, 418–418.
Chicago author-date (all authors)
Vercamer, Dauwe, Dirk Van den Poel, and Birger Raa. 2013. “A Novel Solution Approach for Large-scale VRP with Stochastic Customers.” In Euro-Informs Joint International Conference, Abstracts, 418–418.
Vancouver
1.
Vercamer D, Van den Poel D, Raa B. A novel solution approach for large-scale VRP with stochastic customers. Euro-Informs joint international conference, Abstracts. 2013. p. 418–418.
IEEE
[1]
D. Vercamer, D. Van den Poel, and B. Raa, “A novel solution approach for large-scale VRP with stochastic customers,” in Euro-Informs joint international conference, Abstracts, Rome, Italy, 2013, pp. 418–418.
@inproceedings{5735601,
  abstract     = {In the door-to-door sales industry, it often occurs that a customer is not at home. Not using this information when making sales routes may result in low profits. In order to maximize the profitability, we use predictive analytics to determine each customer’s lifetime value, including variables measuring the percentage of time they are home. This information is then used to determine which customers can enter the routes given the fleet size constraint. We then use a VNS to allocate all remaining clients to one of the routes. Our research was successfully implemented at a Belgian company.},
  author       = {Vercamer, Dauwe and Van den Poel, Dirk and Raa, Birger},
  booktitle    = {Euro-Informs joint international conference, Abstracts},
  keywords     = {Stochastic,Predictive Analytics,VNS,Vehicle Routing Problem},
  language     = {eng},
  location     = {Rome, Italy},
  pages        = {418--418},
  title        = {A novel solution approach for large-scale VRP with stochastic customers},
  url          = {http://www.euro-online.org/media_site/reports/EURO26_AB.pdf},
  year         = {2013},
}