Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Modeling task dependencies in project management using petri nets with Arc extensions

Tsinarakis Georgios

Simple record


URIhttp://purl.tuc.gr/dl/dias/E04C0BBA-1050-4D94-83C9-FCE2C7AB8572-
Identifierhttps://doi.org/10.1109/MED.2018.8442472-
Identifierhttps://ieeexplore.ieee.org/document/8442472-
Languageen-
Extent6 pagesen
TitleModeling task dependencies in project management using petri nets with Arc extensionsen
CreatorTsinarakis Georgiosen
CreatorΤσιναρακης Γεωργιοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryAlternative ways of modeling the four possible types of task dependencies in Project Management are introduced. The approach presented makes possible modeling and simulation of the execution procedure of complicated projects that can be analyzed in interconnected tasks, using Petri Nets and their extensions. The proposed method allows the calculation of the overall duration, as well as other useful measures according to the task durations and the interconnections between them. The advanced modeling power of Petri Nets makes possible the inclusion of random events (following a distribution or not) that in real world may disturb the project execution, as well as may change its duration and may lead to more accurate calculations compared to the traditionally used Project management tools and methods such as Network and Node diagrams. This can be used for more efficient project planning as well as for designing necessary actions to correct real time behavior of Project execution.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2019-06-07-
Date of Publication2018-
SubjectPetri netsen
SubjectProject Managementen
SubjectAdvanced modelingen
Bibliographic CitationG. J. Tsinarakis, "Modeling task dependencies in project management using petri nets with Arc extensions," in 26th Mediterranean Conference on Control and Automation, 2018, pp. 84-89. doi: 10.1109/MED.2018.8442472en

Services

Statistics