Research on the Method of Using the PRISM Model to Improve the Estimated Time of the Project

Jing Zhang, Chengyue Li, Lu Liu, Yifan Hu, Yihao Gao, Kai Zheng, Xin Huang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

This article focuses on PRISM, which is a tool developed by the University of Birmingham to analyze probabilistic systems. Through analyzing the mathematical model of estimating the project's expected time using the PERT/CPM network, this paper uses the PRISM method to optimize it, making the whole estimation process more comprehensive and stable, while ensuring the correctness of the final result. After a brief introduction to these two methods, a thorough analysis of the model including the relevant code will be described in detail. Although there are some limitations in the completion probability of the project, this paper generally proves the effectiveness of the PRISM probability model in calculating the expected time of large projects.

Original languageEnglish
Title of host publicationProceedings - 9th International Conference on Information Technology in Medicine and Education, ITME 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages968-971
Number of pages4
ISBN (Electronic)9781538677438
DOIs
Publication statusPublished - 26 Dec 2018
Event9th International Conference on Information Technology in Medicine and Education, ITME 2018 - Hangzhou, Zhejiang, China
Duration: 19 Oct 201821 Oct 2018

Publication series

NameProceedings - 9th International Conference on Information Technology in Medicine and Education, ITME 2018

Conference

Conference9th International Conference on Information Technology in Medicine and Education, ITME 2018
Country/TerritoryChina
CityHangzhou, Zhejiang
Period19/10/1821/10/18

Keywords

  • CPM network
  • Expected time
  • Industrial projects
  • PERT network
  • PRISM
  • Probabilistic systems

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