Publication: Online routing and scheduling of search‑and‑rescue teams
| dc.contributor.coauthor | Akbari, Vahid | |
| dc.contributor.department | Department of Industrial Engineering | |
| dc.contributor.facultymember | Yes | |
| dc.contributor.kuauthor | Salman, Fatma Sibel | |
| dc.contributor.kuauthor | Shiri, Davood | |
| dc.contributor.schoolcollegeinstitute | College of Engineering | |
| dc.date.accessioned | 2024-11-09T23:07:55Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | We study how to allocate and route search-and-rescue teams to areas with trapped victims in a coordinated manner after a disaster. We propose two online strategies for these time-critical decisions considering the uncertainty about the operation times required to rescue the victims and the condition of the roads that may delay the operations. First, we follow the theoretical competitive analysis approach that takes a worst-case perspective and prove lower bounds on the competitive ratio of the two variants of the defined online problem with makespan and weighted latency objectives. Then, we test the proposed online strategies and observe their good performance against the offline optimal solutions on randomly generated instances. | |
| dc.description.fulltext | No | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.openaccess | YES | |
| dc.description.peerreviewstatus | N/A | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | N/A | |
| dc.description.studentonlypublication | No | |
| dc.description.studentpublication | Yes | |
| dc.description.version | N/A | |
| dc.identifier.WoSQuartile | Q3 | |
| dc.identifier.doi | 10.1007/s00291-020-00594-w | |
| dc.identifier.eissn | 1436-6304 | |
| dc.identifier.embargo | N/A | |
| dc.identifier.endpage | 784 | |
| dc.identifier.issn | 0171-6468 | |
| dc.identifier.issue | 3 | |
| dc.identifier.scopus | 2-s2.0-85088284508 | |
| dc.identifier.startpage | 755 | |
| dc.identifier.uri | https://doi.org/10.1007/s00291-020-00594-w | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/9230 | |
| dc.identifier.volume | 42 | |
| dc.identifier.wos | 000544848700001 | |
| dc.keywords | Disaster logistics | |
| dc.keywords | Search-and-rescue | |
| dc.keywords | Online optimization | |
| dc.keywords | Makespan | |
| dc.keywords | Latency | |
| dc.keywords | Multiple teams | |
| dc.keywords | Edge blockage | |
| dc.keywords | Traveling salesman problem | |
| dc.keywords | Humanitarian logistics model | |
| dc.keywords | Urban search | |
| dc.keywords | Emergency response | |
| dc.keywords | Price algorithm | |
| dc.keywords | Relief | |
| dc.keywords | Optimization | |
| dc.keywords | Formulations | |
| dc.keywords | Offline optimal solution | |
| dc.keywords | Disaster response | |
| dc.language.iso | eng | |
| dc.publisher | Springer | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | OR Spectrum | |
| dc.relation.openaccess | N/A | |
| dc.rights | N/A | |
| dc.subject | Operations research | |
| dc.subject | Management science | |
| dc.subject | Competitive ratio lower bounds | |
| dc.subject | Disaster response optimization | |
| dc.subject | Randomly generated instance testing | |
| dc.subject | Uncertainty in rescue operation times | |
| dc.subject | Post-disaster victim rescue scheduling | |
| dc.title | Online routing and scheduling of search‑and‑rescue teams | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| local.contributor.kuauthor | Shiri, Davood | |
| local.contributor.kuauthor | Salman, Fatma Sibel | |
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