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2011•DergiPark (Istanbul University)Requires access

PROJECT PERFORMANCE REPORTING AND PREDICTION: EXTENSIONS OF EARNED VALUE MANAGEMENT

Agata Czarnigowska, Piotr Jaśkowski, Sławomir Biruk

Open publisher page 14 citations

Abstract

Earned Value Management is one of the best known approaches to project progress control and reporting. It uses information on cost, schedule and work performance to establish the current status of the project. By means of a few rates it allows the manager to extrapolate current trends on the project outcome. However, the method bases on a much simplified model of the project, the input is reported to be laborious to collect, and the results may be misleading. The paper outlines the basic principles of the method and discusses its recent modifications aimed at improving reliability in describing project status, expanding predictive ability, and allowing for risk control.

About this research paper

What this paper is about

Earned Value Management is one of the best known approaches to project progress control and reporting. It uses information on cost, schedule and work performance to establish the current status of the project. By means of a few rates it allows the manager to extrapolate current trends on the project outcome. However, the method bases on a much simplified model of the project, the input is reported to be laborious to collect, and the results may be misleading. The paper outlines the basic principles of the method and discusses its recent modifications aimed at improving reliability in describing project status, expanding predictive ability, and allowing for risk control.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Earned Value Management is one of the best known approaches to project progress control and reporting. It uses information on cost, schedule and work performance to establish the current status of the project. By means of a few rates it allows the manager to extrapolate current trends on the project outcome. However, the method bases on a much simplified model of the project, the input is reported to be laborious to collect, and the results may be misleading. The paper outlines the basic principles of the method and discusses its recent modifications aimed at improving reliability in describing project status, expanding predictive ability, and allowing for risk control.

Key concepts: Earned value management, Schedule, Computer science, Project management, Reliability (semiconductor), Control (management), Value (mathematics), Risk analysis (engineering)

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