Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers

By Russell W. Bent, Pascal Van Hentenryck. Operational Research, 2004

515 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/1dd89e3a7029addac7f30c72ce6ececc4fb81e23

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Teodor Gabriel Crainic
2. Michel Gendreau
3. Martin W. P. Savelsbergh
4. Niels A. H. Agatz
5. Richard F. Hartl
6. Jakob Puchinger
7. Zhihong Shen
8. Fernando Ordóñez

In Industrial and Manufacturing Engineering

1. Teodor Gabriel Crainic
2. Michel Gendreau
3. Jean-Yves Potvin
4. Richard F. Hartl
5. Jakob Puchinger
6. Andrés L. Medaglia
7. Christelle Guéret
8. Victor Pillac

In Transportation

1. Martin W. P. Savelsbergh
2. Niels A. H. Agatz
3. Teodor Gabriel Crainic
4. Zhihong Shen
5. Michel Gendreau
6. Fernando Ordóñez
7. Maged M. Dessouky
8. Richard F. Hartl

Citations in the corpus

• Optimization for dynamic ride-sharing: A review (2012, background): “Several papers have shown the potential of incorporation stochastic information in a dynamic planning environment (see e.g., Bent and Van Hentenryck, 2004; Powell, 1996).”
• The Stochastic Vehicle Routing Problem for Minimum Unmet Demand (2009, background): “The multiple scenario approach (MSA) [3] and waiting strategies [11] have also been introduced for this problem recently.”
• Container terminal operation and operations research - a classification and literature review (2004, background): “, [206,11]) may be important areas worth considering for container terminal operations.”
• A survey on dynamic and stochastic vehicle routing problems (2016, methodology): “The algorithms are also compared to the best results in Bent and Van Hentenryck (2004), and it is shown that the MSA performs better than the BRH. Note that the comparison is not completely fair because the MSA is a event-based algorithm, which means that it is responded immediately to new…”
• A review of dynamic vehicle routing problems (2013, background): “especially for instances with high degrees of dynamism [9].”
• Dynamic vehicle routing problems: Three decades and counting (2016, background): “This is tantamount to considering as a single entry in the taxonomy all entries in which criteria (1) to (10) are the same.”
• Intelligent Freight Transportation Systems : Assessment and the Contribution of Operations Research (2009, background): “…strategy cannot account for the future consequences of current decisions and policies that try to anticipate future events generally dominate it (Bent and Van Hentenryck, 2004; Branke et al., 2005; Ichoua et al., 2006; Mi-trovi ć -Mini ć et al., 2004; Mitrovi ć -Mini ć and Laporte, 2004;…”