The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
OR/MS research in disaster operations management
Open accessAbstract
Disasters are large intractable problems that test the ability of communities and nations to effectively protect their populations and infrastructure, to reduce both human and property loss, and to rapidly recover. The seeming randomness of impacts and problems and uniqueness of incidents demand dynamic, real-time, effective and cost efficient solutions, thus making the topic very suitable for OR/MS research. While social sciences and humanities literatures enjoy an abundance of articles on disaster management, the OR/MS community is yet to produce a critical mass. In this paper, we survey the literature to identify potential research directions in disaster operations, discuss relevant issues, and provide a starting point for interested researchers.
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Citations
Cites
Normal Accidents: Living with High Risk Technologies
Grimes, A. J., & Perrow, C. (1985) · The Academy of Management Review · doi:10.2307/257982 · Cited by 4,960
The cell transmission model, part II: Network traffic
Daganzo, C. F. (1995) · Transportation Research Part B: Methodological · doi:10.1016/0191-2615(94)00022-r · Cited by 1,938
Emergency Logistics Planning in Natural Disasters
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004) · Annals of Operations Research · doi:10.1023/b:anor.0000030690.27939.39 · Cited by 819
Problem structuring methods in action
Mingers, J., & Rosenhead, J. (2004) · European Journal of Operational Research · doi:10.1016/s0377-2217(03)00056-0 · Cited by 749 · cited 1×
“The key question is how do we determine decision rules on what method to use to address specific class of disaster problems? For example, problem structuring methods seem to fit well to unstructured problem situations where multiple actors, multiple perspectives, conflicting interests, important tangibles, and key unc…”
Introduction to Operations Research.
Peston, M. H., Churchman, C. W., Ackoff, R. L., & Arnoff, E. L. (1959) · Economica · doi:10.2307/2550497 · Cited by 738
Exploratory Modeling for Policy Analysis
Bankes, S. (1993) · Operations Research · doi:10.1287/opre.41.3.435 · Cited by 706
Optimized resource allocation for emergency response after earthquake disasters
Fiedrich, F., Gehbauer, F., & Rickers, U. (2000) · Safety Science · doi:10.1016/s0925-7535(00)00021-7 · Cited by 666
What Is a Disaster: Perspectives on the Question
Quarantelli, E. L. (1999) · Disaster Prevention and Management: An International Journal · doi:10.1108/dpm.1999.8.5.370.3 · Cited by 640
Operations research : applications and algorithms
Winston, W. L. (1994) · Cited by 638
Leontief-Based Model of Risk in Complex Interconnected Infrastructures
Haimes, Y. Y., & Jiang, P. (2001) · Journal of Infrastructure Systems · doi:10.1061/(asce)1076-0342(2001)7:1(1 · Cited by 593
Cited by
Remaining useful life estimation – A review on the statistical data driven approaches
Si, X.-S., Wang, W., Hu, C.-H., & Zhou, D.-H. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2010.11.018 · Cited by 2,162
The specificity of the scientific field and the social conditions of the progress of reason
Bourdieu, P. (1975) · Social Science Information · doi:10.1177/053901847501400602 · Cited by 1,483
Optimization models in emergency logistics: A literature review
Caunhye, A. M., Nie, X., & Pokharel, S. (2012) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2011.04.004 · Cited by 854
Govindan, K., Mina, H., & Alavi, B. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101967 · Cited by 641
Identifying challenges in humanitarian logistics
Kovács, G., & Spens, K. (2009) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600030910985848 · Cited by 543
Metadata
- Authors
- Altay, N., & Green, W. G.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2006-11
- Volume
- 175
- Issue
- 1
- Pages
- 475-493
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W2008936765
- Cited by
- 1,639
- References
- 47
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- gold
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- Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2005.05.016
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.
