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A Review of Analytical Models, Approaches and Decision Support Tools in Project Monitoring and Control

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dc.contributor.author Hazir, Oncu
dc.date.accessioned 2019-06-25T14:25:56Z
dc.date.available 2019-06-25T14:25:56Z
dc.date.issued 2015
dc.identifier.issn 0263-7863
dc.identifier.issn 1873-4634
dc.identifier.uri https://doi.org/10.1016/j.ijproman.2014.09.005
dc.identifier.uri https://acikerisim.tedu.edu.tr/xmlui/handle/20.500.12485/137
dc.description.abstract This paper reviews the problems, approaches and analytical models on project control systems and discusses the possible research extensions. We focused on literature in Earned Value Analysis (EVA), optimization tools, and the design of decision support systems (DSS) that will contribute to helping project managers in planning and controlling under uncertain project environments. The review reveals that further research is essential to develop analytical models using EVA metrics to forecast project performance. It also suggests that DSS should be model driven, function as early warning systems and should be integrated to commercial project management software. (c) 2014 Elsevier Ltd. APM and IPMA. All rights reserved. en_US
dc.language.iso en en_US
dc.publisher ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND en_US
dc.subject Business & Economics en_US
dc.title A Review of Analytical Models, Approaches and Decision Support Tools in Project Monitoring and Control en_US
dc.type Article en_US
dc.relation.journal International Journal of Project Management
dc.identifier.issue 4
dc.identifier.startpage 808
dc.identifier.endpage 815
dc.identifier.volume 33


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