Article2008

Project Performance Evaluation Based on Statistical Process Control Techniques

67 citations0/0 files storedJournal of Construction Engineering and Management

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Construction Project Management and Performance Accounting and Organizational Management Advanced Statistical Process Monitoring

Abstract

The earned value management (EVM) method is considered as a powerful tool that supports the management of project scope, time, and cost. However, conventional EVM may cause some project managers to ignore the information that it can provide about the performance variations of their projects as well as their causes and effects. This paper attempts to refine and improve the performance of traditional EVM by the introduction of statistical control chart techniques. Individual control charts are used as tools to monitor project performance data so that adverse changes can be detected in a timely manner. This allows analysis of in-progress project cost and schedule performance variations and highlights possible needs for corrective action. A comparative analysis between traditional EVM and the new approach is undertaken to identify the effectiveness of the new approach.

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References

1992Introduction to Statistical Quality Control 2003Earned value in project management 1997Introduction to Statistical Quality Control 1989Statistical Methods for Quality Improvement 2002Evaluating environmental performance using statistical process control techniques 2004Earned value project management method and extensions 1985Statistical methods for quality improvement

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2015A multivariate approach for top-down project control using earned value management 2017A buffer control method for top-down project control 2019The impact of applying effort to reduce activity variability on the project time and cost performance 2012PCIM: Project Control and Inhibiting-Factors Management Model 2015Developing a framework for statistical process control approaches in project management 2020Multivariate control charts using earned value and earned duration management observations to monitor project performance

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