Using Earned Value Management with exponential smoothing technique to forecast project cost

Application of Artificial Neural Network to Forecast Actual Cost of a Project to Improve Earned Value Management System

This paper presents an application of Artificial Neural Network (ANN) to forecast actual cost of a project based on the earned value management system (EVMS). For this purpose, some projects randomly selected based on the standard data set , and it is produced necessary progress data such as actual cost ,actual percent complete , baseline cost and percent complete for five periods of project. T...

Estimation of Project Performance Using Earned Value Management and Fuzzy Regression

Earned Value Management is a critical project managementmethodology that evaluates project performance from cost andschedule viewpoints. The novel theoretical framework presented in thispaper estimates future performance of project regarding the past relativeinformation. It benefits from fuzzy regression (FR) models in estimationprocess in order to deal with the vagueness and impreciseness ofre...

Predicting project time and costs using earned value management based on trapezoidal fuzzy numbers

Projects include activities that must be carried out at certain dates, with specified costs and determined qualities in order to satisfy the stakeholders. Project control is one of the most important and widely used issues in project-based organizations and it has attracted a lot of attention. So far, in the field of project control, there have been a lot of research that were done in different...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran

Earned - Value Management Terminology

To the Editor: Although I enjoyed the article titled “Value-Based Software Engineering: A Case Study” (Barry Boehm and Li Guo Huang, March 2003, pp. 33-41), as a newly minted Project Management Professional and a contributor to the Project Management Institute’s Earned Value Analysis team, I was disappointed with the authors’ use of nonstandard terminology. The authors renamed the traditional t...