Code
01SM2613
Duration
06 December 2013 → 05 July 2014
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Applied mathematics in specific fields
- Statistics and numerical methods
-
Social sciences
- Business administration and accounting
- Management
Keywords
transportation
distribution
stochastic
Project description
With increasing customer expectations and more and more customers to serve, having a realistic routing schedule is key for logistics service providers. A new model will be developed that uses the best strategy to cope with the uncertainties in this setting. Exact and metatheuristic approaches will be explored to tackle stochasticity in the customers, their demands and the travel times.