A review of analytical models, approaches and decision support tools in project monitoring and control

Hazir O.

INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, vol.33, no.4, pp.808-815, 2015 (SSCI) identifier identifier

  • Publication Type: Article / Review
  • Volume: 33 Issue: 4
  • Publication Date: 2015
  • Doi Number: 10.1016/j.ijproman.2014.09.005
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.808-815
  • Keywords: Project management, Project monitoring and control, Earned Value Analysis, Decision support systems, Project management software, MANAGEMENT, CONSTRUCTION, PERFORMANCE, DURATION, COST, INFORMATION, SYSTEMS, SENSITIVITY, PREDICTION, ALLOCATION
  • TED University Affiliated: Yes


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.