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dc.contributor.authorKerkhove, Louis-Philippe
dc.contributor.authorVanhoucke, Mario
dc.date.accessioned2017-12-02T15:00:35Z
dc.date.available2017-12-02T15:00:35Z
dc.date.issued2017
dc.identifier.doi10.1016/j.ejor.2017.02.043
dc.identifier.urihttp://hdl.handle.net/20.500.12127/5784
dc.description.abstractWe present a novel optimisation approach for incentive contract design within a project setting. the structure of the remuneration is one of the key challenges faced by the project owner when (s)he decides to hire a contractor. The proposed technique builds on the recently proposed contract design methodology by Kerkhove and Vanhoucke (Omega, 2015). Specifically, a novel multi-objective scatter search heuristic is proposed and implemented using parallelisation. Both single- and multi-population implementations of this heuristic are compared to the original full-factorial approach as well as commercial optimisation software. The results of the computational experiments indicate that the single-population parallel scatter search procedure significantly outperforms the other solution strategies in terms of both speed and solution quality.
dc.language.isoen
dc.subjectProject Management
dc.subjectContracting
dc.subjectMulti-objective Optimisation
dc.subjectScatter Search
dc.subjectParallel Processing
dc.titleA parallel multi-objective scatter search for optimising incentive contract design in projects
dc.identifier.journalEuropean Journal of Operational Research
dc.source.volume261
dc.source.issue3
dc.source.beginpage1066
dc.source.endpage1084
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleVlerick strategic journal article
vlerick.vlerickdepartmentTOM
dc.identifier.vperid172084
dc.identifier.vperid58614
dc.identifier.vpubid7097


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