Optimization of Construction Scheduling with Rao Algorithm

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Özet

The two most important factors to consider in construction scheduling are cost and time. To maximize profits in today’s competitive environment, construction stakeholders will seek to minimize project cost and duration at the same time. Construction projects consist of direct and indirect costs. While resources allocated to activities to reduce project duration can increase direct costs, they can also decrease indirect costs. Time–cost trade-off problems involve more than one alternative in each activity. In these problems, as the number of activities and alternatives increases, time required to solve the problem becomes longer. Many evolutionary and metaheuristic algorithms have been used in solving such problems in recent years. With the help of these algorithms, the solution times are reduced, and more than one solution proposal is presented to the decision-makers. In this study, the Rao algorithm is used to solve the multi-objective cost-time trade-off problem. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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AlanDeğerDil
dc.contributor.authorYılmaz, Mehmet
dc.contributor.authorDede, Tayfun
dc.contributor.authorVenkata Rao, Ravipudi
dc.contributor.editorR., Venkata Rao
dc.contributor.editorJ., Taler
dc.date.accessioned2026-10-18T20:27:02.806459159Z
dc.date.available2026-10-18T20:27:02.806459159Z
dc.date.issued2023
dc.description.abstractThe two most important factors to consider in construction scheduling are cost and time. To maximize profits in today’s competitive environment, construction stakeholders will seek to minimize project cost and duration at the same time. Construction projects consist of direct and indirect costs. While resources allocated to activities to reduce project duration can increase direct costs, they can also decrease indirect costs. Time–cost trade-off problems involve more than one alternative in each activity. In these problems, as the number of activities and alternatives increases, time required to solve the problem becomes longer. Many evolutionary and metaheuristic algorithms have been used in solving such problems in recent years. With the help of these algorithms, the solution times are reduced, and more than one solution proposal is presented to the decision-makers. In this study, the Rao algorithm is used to solve the multi-objective cost-time trade-off problem. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
dc.identifier.doi10.1007/978-981-19-9285-8_10
dc.identifier.endpage105
dc.identifier.isbn978-981199284-1
dc.identifier.issn2195-4356
dc.identifier.scopus2-s2.0-85159495023
dc.identifier.startpage99
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/12096
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofLecture Notes in Mechanical Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectConstruction scheduling
dc.subjectDecision-making
dc.subjectRao algorithm
dc.subjectCosts
dc.subjectEconomic and social effects
dc.subjectEvolutionary algorithms
dc.subjectScheduling algorithms
dc.subjectCompetitive environment
dc.subjectConstruction stakeholders
dc.subjectDecisions makings
dc.subjectEnvironment constructions
dc.subjectIS costs
dc.subjectOptimisations
dc.subjectProject cost
dc.subjectProject duration
dc.subjectDecision making
dc.titleOptimization of Construction Scheduling with Rao Algorithm
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.scopus0
rdl.source.indexSCOPUS