Information Visualization in Project Management and Scheduling

Zhang, Ping, & Dan Zhu (1997), Information Visualization in Project Management and Scheduling, Proceedings of The 4th Conference of the International Society for Decision Support Systems (ISDSS'97), Ecole des HEC, University of Lausanne, Switzerland, July 21-22

Posted: 10 Nov 2013

See all articles by Ping Zhang

Ping Zhang

Syracuse University

Zhu Dan

Independent

Date Written: 1997

Abstract

Previous research in project scheduling has been primarily focusing on providing efficient solution procedures in a deterministic scheduling environment. In reality, however, project manager is challenged by the conflict between the dynamic and evolving nature of project information. In addition, the amount of data volume and complicated relationships among constraints make the understanding of scheduling situation difficult. Thus managers find it hard to take correct actions dealing with constantly changing constraints. In this paper, we present a research effort that experiments with allowing human schedulers to work with visualized schedules of large projects. Information visualization is used as a strategy to visually represent large data volume and their interrelationships from human problem-solving perspective. A system SWAV is outlined to support managers in making scheduling decisions under uncertainty environments. This paper describes the research problem and proposes a framework for information visualization in resource constrained project management and scheduling.

Keywords: information visualization, project scheduling, heuristic decision-making

Suggested Citation

Zhang, Ping and Dan, Zhu, Information Visualization in Project Management and Scheduling (1997). Zhang, Ping, & Dan Zhu (1997), Information Visualization in Project Management and Scheduling, Proceedings of The 4th Conference of the International Society for Decision Support Systems (ISDSS'97), Ecole des HEC, University of Lausanne, Switzerland, July 21-22, Available at SSRN: https://ssrn.com/abstract=2351669

Ping Zhang (Contact Author)

Syracuse University ( email )

Hinds Hall
Syracuse, NY 13244
United States

Zhu Dan

Independent ( email )

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