RDSupport

Robust Decision Support for Dynamical Vehicle Routing

 
Project start: 2016, Project end: 2019
 
Funding institution: Science without Border (Ciência sem Fronteiras) - Brazil

Project description

 
Customers in freight transport increasingly expect quicker and more flexible fulfillment of their orders. Furthermore, there is an increasing availability of real-time information and communication systems in freight transport with the advance of technical prerequisites. So, in this scenario, industry have to face the challenge to attend most demanding customers in a better way, reducing their operational costs as well as their environmental impacts. Even an experienced company might fail to tackle the above challenge, which is related to the Dynamic Vehicle Routing Problem (Dynamic VRP). Therefore, an agent-based decision support system which copes with this challenge is of particular interest. The project aims to develop and implement an agent-based decision support system for the constrained Dynamic VRP that captures the two main sources of dynamism described in the literature, new customer orders and travel times. To that end, the agent-based system will consists of a database, a respective management system, a model base and a graphic user interface (GUI). Real life data from a German logistics provider will be used. Noticing that the sources of dynamism may deteriorate the performance of the solution, one contribution of this project is that the agent-based decision support system will utilize a sophisticated heuristic to allow for a certain range of a-priori unknown demand changes without changing the solution structure.
 
Contact: MSc. Marcella Bernardo Papini

Publications

2018

  • Bernardo, M. and Pannek, J. (2018). A Mean-Variance Objective for Robust Vehicle Routing Problem with Uncertain Demands. In proceedings of the 29th European Conference on Operational Research. (abstract) Valencia [BibTex]

  • Wang, M. and Thoben, K. and Papini, M. B. and Daudi, M. (2018). Diversity in Employment of Electric Commercial Vehicles in Urban Freight Transport: A Literature Review. Logistics Research. 11 (10), [doi] [BibTex]

  • M. Bernardo and J. Pannek (2018). Enforcing Structural Robustness for Vehicle Routing Plans despite Stochastic Demands. In proceedings of the 6th International Conference on Dynamics in Logistics (LDIC 2018). Dynamics in Logistics [doi] [BibTex]

  • M. Bernardo and J. Pannek (2018). Robust Solution Approach for the Dynamic and Stochastic Vehicle Routing Problem. Journal of Advanced Transportation. 1-11. [doi] [BibTex]

2017

  • Bernardo, M. and Pannek, J. (2017). Robust a Priori Planning to the Dynamic and Stochastic Vehicle Routing Problem. Optimization 2017. (abstract) Portugal [BibTex]

  • M. Bernardo and J. Pannek (2017). Dynamic and Stochastic Vehicle Routing Problem: A Comparison Between Stochastic Programming and Multi-Scenario Approach. In proceedings of the 6th CUST International Business Research Conference (CUST 2017). [BibTex]