A Heuristic Technique for Project Time Analysis in Conditions with High Uncertainty

  • Maksim Goman (Speaker)

Activity: Talk or presentationContributed talkscience-to-science

Description

Project completion time evaluation under uncertainty is still a problem in project management. It is most acute in the areas of large uncertainty in activity estimations and fast changing environment, where only stochastic approaches are possible. We propose an analytical technique for managers that produces a worst case approximation of the project end time. This is an operationally simple heuristic that needs only one network traverse, with realistic model and assumptions, simple mathematical calculations and probability distribution types. The technique considers merge event bias that causes a delay in the stochastic project network. Additionally, end time of all activities and likely critical activities are found. To show the application of the technique, we analyzed time of a real construction project and obtained good accuracy.
Period07 Jul 2021
Event titleInternational Symposium on Business Modeling and Software Design BMSD 2021
Event typeConference
LocationAustriaShow on map

Fields of science

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  • 301401 Brain research
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  • 102 Computer Sciences
  • 303026 Public health
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  • 502043 Business consultancy
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  • 502030 Project management
  • 501030 Cognitive science
  • 602036 Neurolinguistics
  • 502014 Innovation research
  • 509004 Evaluation research
  • 502050 Business informatics
  • 301407 Neurophysiology
  • 102015 Information systems

JKU Focus areas

  • Digital Transformation