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

This article reviews the problems, approaches, and analytical models on project control systems and discusses the possible research extensions. The authors focus 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 into commercial project management software. Citation: Hazir, Ö. (2015). A review of analytical models, approaches and decision support tools in project monitoring and control. International Journal of Project Management, 33(4), 808–815. Available from ProQuest Dissertations & Theses Global. (1667027960). Retrieved from https://search.proquest.com/ docview/1667027960?accountid=40390

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