The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
A survey on dynamic and stochastic vehicle routing problems
Open accessAbstract
Research on dynamic and stochastic vehicle routing problems received increasing interest in the last decade. It considers a novel problem class, aiming at an appropriate handling of dynamic events combined with the incorporation of stochastic information about possible future events. This survey summarises the recent literature in this area. Besides, the classification according to the available stochastic information, a new classification based on the point in time where substantial computational effort for determining decisions or decision policies arises, is introduced. Furthermore, the difference in solution quality is analysed between approaches which consider either purely dynamic or stochastic problems compared to those which consider both, stochastic and dynamic aspects. A graphical representation demonstrates the strength of the reviewed approaches incorporating dynamic and stochastic information. The survey also gives an overview on the intensity of research for the different problem classes and its benefit in recent years. Finally, guidelines and promising directions for further research are presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Introduction to Stochastic Programming
Birge, J. R., & Louveaux, F. (2011) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/978-1-4614-0237-4 · Cited by 6,469
Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints
Solomon, M. M. (1987) · Operations Research · doi:10.1287/opre.35.2.254 · Cited by 4,298
(2002) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898718515 · Cited by 4,008
2009 International Joint Conference on Artificial Intelligence
(2009) · doi:10.1109/jcai15434.2009 · Cited by 2,800
Amortized efficiency of list update and paging rules
Sleator, D. D., & Tarjan, R. E. (1985) · Communications of the ACM · doi:10.1145/2786.2793 · Cited by 2,123
Approximate Dynamic Programming: Solving the Curses of Dimensionality
Powell, W. B. (2007) · Wiley Series in Probability and Statistics · doi:10.1002/9780470182963 · Cited by 1,566
The Vehicle Routing Problem: Latest Advances and New Challenges
(2008) · Operations Research/Computer Science Interfaces · doi:10.1007/978-0-387-77778-8 · Cited by 1,483
A review of dynamic vehicle routing problems
Pillac, V., Gendreau, M., Guéret, C., & Medaglia, A. L. (2013) · European Journal of Operational Research · doi:10.1016/j.ejor.2012.08.015 · Cited by 1,253
Optimization under uncertainty: state-of-the-art and opportunities
Sahinidis, N. V. (2003) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2003.09.017 · Cited by 1,182
Fifty Years of Vehicle Routing
Laporte, G. (2009) · Transportation Science · doi:10.1287/trsc.1090.0301 · Cited by 1,022
Cited by
Planning and Decision-Making for Autonomous Vehicles
Schwarting, W., Alonso-Mora, J., & Rus, D. (2018) · Annual Review of Control, Robotics, and Autonomous Systems · doi:10.1146/annurev-control-060117-105157 · Cited by 972
Otto, A., Agatz, N., Campbell, J., Golden, B., & Pesch, E. (2018) · Networks · doi:10.1002/net.21818 · Cited by 985
Hyland, M., & Mahmassani, H. S. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.05.003 · Cited by 286
Metadata
- Authors
- Ritzinger, U., Puchinger, J., & Hartl, R. F.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2015-05-15
- Volume
- 54
- Issue
- 1
- Pages
- 215-231
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W1510850782
- Cited by
- 443
- References
- 55
- FWCI
- 45.10
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A survey on dynamic and stochastic vehicle routing problems. https://app.cochat.ai/papers/10.1080/00207543.2015.1043403
- The paper
- Ritzinger, U., Puchinger, J., & Hartl, R. F. (2016). A survey on dynamic and stochastic vehicle routing problems. International Journal of Production Research. https://doi.org/10.1080/00207543.2015.1043403
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
