A simulation-based approach to enhancing project schedules by the inclusion of remedial action scenarios

Sanja Lazarova-Molnar, Rabeb Mizouni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Project schedules are typically defined in relatively strict terms and often rely on well-defined task ordering. Commonly, each task has either a pre-determined duration, or, a minimum, a maximum and a most-likely duration length. In real-life, however, projects are subject to numerous uncertainties. They often impact durations of tasks and may lead to project re-scheduling. In such cases managers need to decide about some remedial action scenario (RAS) to limit the impact of uncertainty on the overall project success. They are usually left clueless on what the most appropriate action to take is. To solve this problem, we propose a novel approach to enhance project schedules by the inclusion of an optimal RAS to be followed when uncertainties occur. This defines the enhanced project schedule model. The particular RAS, modeled by a set of fuzzy rules and selected using proxel-based simulation, becomes an integral part of the enhanced project schedule.

Original languageEnglish
Title of host publicationProceedings of the 2011 Winter Simulation Conference, WSC 2011
Pages761-772
Number of pages12
DOIs
Publication statusPublished - Dec 1 2011
Event2011 Winter Simulation Conference, WSC 2011 - Phoenix, AZ, United States
Duration: Dec 11 2011Dec 14 2011

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Other

Other2011 Winter Simulation Conference, WSC 2011
Country/TerritoryUnited States
CityPhoenix, AZ
Period12/11/1112/14/11

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications

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