Volume 29, Issue 2 (IJIEPR 2018)                   IJIEPR 2018, 29(2): 231-239 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

akhbari M. Project Time and Cost Forecasting using Monte Carlo simulation and Artificial Neural Networks. IJIEPR. 2018; 29 (2) :231-239
URL: http://ijiepr.iust.ac.ir/article-1-793-en.html
phd Department of Industrial Engineering, E-Branch, Islamic Azad University, Tehran, Iran , m_akhbari@iauec.ac.ir
Abstract:   (457 Views)
The aim of this study is to present a new method to predict project time and cost under uncertainty. Assuming that what happens in projects implementation which is expressed in the form of Earned Value Management (EVM) indicators is primarily related to the nature of randomness or unreliability, in this study, by using Monte Carlo simulation, and assuming a specific distribution for the time and cost of project activities, a significant number of predicting scenarios will be simulated. According to the data, an artificial neural network is used as efficient data mining methods to estimate the project time and cost at completion.
Full-Text [PDF 794 kb]   (188 Downloads)    
Highlights:
  • Proposing a method to predict the time and cost at completion of the project under uncertainty.
  • Assuming the time and cost of the project activities are randomly determined by a statistical distribution.
  • Using Earned Value Management (EVM) indicators to project monitoring and control.
  • Using Monte Carlo simulation to generate the “universe” of possible projects.
  • Applying Artificial neural network (ANN) To predict cost and duration of the project.

Type of Study: Research | Subject: Project Control
Received: 2017/10/22 | Accepted: 2018/04/15 | Published: 2018/05/20

Add your comments about this article : Your username or Email:
CAPTCHA code

Send email to the article author


© 2018 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb