 Joint optimization of workforce scheduling and routing for restoring a disrupted critical infrastructureYulong Li, Chi Zhang, Chuanzhou Jia, Xiaodong Li and Yimin Zhu Reliability Engineering and System Safety, 2019, vol. 191, issue C Abstract: Once a critical infrastructure is disrupted, it needs to be restored as soon as possible in order to minimize the influence of the disruptions on the economic development and social well-being of a society. Components of critical infrastructures are usually geographically distributed and the time required to travel between disrupted components cannot be ignored when making restoration plans. As a result, the problem of optimally routing restoration workforce needs to be taken into account when scheduling the tasks of restoring disrupted components. To deal with this problem, this research proposes a joint optimization approach to simultaneously determine the time of restoring each disrupted component, the assignment of restoration tasks to the available teams of restoration technicians, and the routes of each team. To deal with the complexity of the proposed problem, ant colony optimization algorithm is employed with necessary adaptations to solve it. Keywords: Critical infrastructure; Restoration; Joint optimization; Routing; Scheduling (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:191:y:2019:i:c:s0951832017314801 DOI: 10.1016/j.ress.2019.106551 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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