Risk-Averse Anticipation for Dynamic Vehicle Routing

Ulmer, Marlin W.; Voß, Stefan

doi:10.1007/978-3-319-50349-3_23

Cited by 4 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In studies related to a vehicle routing problem, Novoa and Storer (2009) [30] examined an approximate dynamic programming algorithm for the single-vehicle routing problem with stochastic demands from a dynamic perspective and confirmed the efficient Rollout Algorithms (RAs) for solving the single VRPSD (Vehicle Routing Problem with Split Deliveries) under a dynamic approach. Ulmer and Voß (2016) [31] analyzed how risk-aversion impacted solutions' quality and variance by integrating risk-aversion into ADP methods. Ulmer (2018) [32] incorporated temporal and spatial anticipation of service requests into Approximate Dynamic Programming (ADP) procedures to yield dynamic routing policies for the un-capacitated single-vehicle routing problem with stochastic service requests.…”

Section: Methods For Anticipatory Cooperative Strategymentioning

confidence: 99%

Cooperative Strategies in Two-Echelon Rescue Delivery Environment with Accessibility Uncertainty

Zhang

Liao

et al. 2020

Sustainability

View full text Add to dashboard Cite

Cooperation between rescue teams is important to improve rescue performance. Vehicles outside of the disaster area usually deliver rescue resources. A two-echelon rescue delivery model is proposed, considering the isolated island of the disaster area where all the roads to the outside are interrupted. This paper first presents a non-cooperation scenario and then a cooperation scenario in an uncertain environment. Furthermore, two types of cooperative strategies to improve rescue performance are provided in the paper. The two cooperative strategies are a reactive cooperative strategy and an anticipatory cooperative strategy. Numerical experiments are used to evaluate the rescue performances of the two cooperation strategies by comparing them with the non-cooperation scenario. The results reveal that the anticipatory cooperative strategy performs the best in different cases varying in size.

show abstract