Assignment and Allocation Optimization of a Partially Multiskilled Workforce

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dc.creatorHaas, Carl T.
dc.creatorMorton, David P.
dc.creatorTucker, Richard L.
dc.creatorGomar, Jorge E.
dc.creatorTerrian, R. Kevin
dc.date.accessioned2022-06-13T17:20:13Z
dc.date.available2022-06-13T17:20:13Z
dc.date.issued2000-07
dc.description.abstractThe success of multiskilling greatly relies on the foreman's ability to assign workers to appropriate tasks and compose crews effectively. The foreman assigns tasks to workers according to their knowledge, capabilities and experience on former projects (Rodriguez 1998). To obtain the maximum benefits from multiskilling, practitioners have stated that automated tools that optimize allocation and assignment of workers would be valuable (Rodriguez 1998). This research describes efforts directed toward developing tools that optimize the allocation and assignment of multiskilled workers to activities in a construction project.en_US
dc.description.departmentRay Marshall Center for the Study of Human Resourcesen_US
dc.description.sponsorshipAlfred P. Sloan Foundationen_US
dc.identifier.urihttps://hdl.handle.net/2152/114632
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/41535
dc.publisherCenter for Construction Industry Studiesen_US
dc.relation.ispartofRay Marshall Center Research Reportsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.restrictionOpenen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectLabor Market and Industry Studiesen_US
dc.titleAssignment and Allocation Optimization of a Partially Multiskilled Workforceen_US
dc.typeTechnical reporten_US

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