Study of cost-time-quality in project failure risk assessment based on monte carlo simulation

  • Xing Pan
  • , Zi Ling Xin*
  • *Corresponding author for this work

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

Abstract

In order to analyze project failure risk, the quality factor, added on the basis of cost-time joint risk assessment, are showed by the degree of deviation and expressed by 2-norm firstly. Secondly, considering the cost-time-quality factors jointly, the joint distribution model of cost-time based on the Monte Carlo model is established; meanwhile, the definition of project failure risk value is given. Last, an example is given based on Program Evaluation Review Technique (PERT) to simulate and analyse project failure risk through Monte Carlo Simulation (MCS).

Original languageEnglish
Title of host publication19th International Conference on Industrial Engineering and Engineering Management
Subtitle of host publicationAssistive Technology of Industrial Engineering
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1361-1368
Number of pages8
ISBN (Print)9783642383908
DOIs
StatePublished - 2013
Event19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering - Changsha, China
Duration: 27 Oct 201229 Oct 2012

Publication series

Name19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering

Conference

Conference19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering
Country/TerritoryChina
CityChangsha
Period27/10/1229/10/12

Keywords

  • Cost-time-quality
  • Engineering project failure risk
  • Monte Carlo Simulation
  • The degree of deviation

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