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dc.contributor.authorPancholi, Parth
dc.date.accessioned2017-04-21T13:02:57Z
dc.date.available2017-04-21T13:02:57Z
dc.identifier.urihttp://hdl.handle.net/10222/72857
dc.description.abstractAfter any natural disaster, thousands of customers may get disconnected from the supply of electricity. To deal with the after effect of such calamity, the power utility companies will need to allocate the PLTs to the depots which are responsible to maintain power grids of certain areas, and schedule the sequence in which PLTs will fix the outages. The goal is to restore the service of all the customers as soon as possible while reducing the total weighted wait times across all the customers. In this research, a Mixed Integer Linear Programming model is proposed to solve this problem optimally, as well as a Multi-Stage Metaheuristic method is proposed to achieve a near optimum solution. Additionally, a Hybrid method is proposed which uses a combination of the optimum method and metaheuristic method to solve the problem. The performances of the proposed methods are compared with each other based on simulated data.en_US
dc.language.isoen_USen_US
dc.subjectRoutingen_US
dc.subjectClusteringen_US
dc.subjectOptimizationen_US
dc.subjectMulti-objective problemen_US
dc.subjectLinear Programmingen_US
dc.subjectMetaheuristicsen_US
dc.subjectHybrid approachen_US
dc.titleA Multi-Depot Crew Routing Optimization for Post-Disaster Service Restorationen_US
dc.date.defence2017-04-06
dc.contributor.departmentDepartment of Industrial Engineeringen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.external-examinerDr. Nader Azaden_US
dc.contributor.graduate-coordinatorDr. Alireza Ghasemien_US
dc.contributor.thesis-readerDr. Pemberton Cyrusen_US
dc.contributor.thesis-supervisorDr. Alireza Ghasemien_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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