Search results for "Earned value management"

showing 3 items of 3 documents

A SYNTHETIC MEASURE FOR THE ASSESSMENT OF THE PROJECT PERFORMANCE

2009

The present paper aims to offer a synthetic project performance indicator (PPI) that aggregates two input parameters obtained by the Earned Value Analysis. The PPI is calculated by using a Fuzzy Inference System (FIS) able to single out a measure based on the input parameters, instead of formulating a mathematical model that could be a troublesome task whenever complex relations among the input variables exist. The purpose is to communicate the project performance to the stakeholders in a clear and complete way, for example, describing the PPI by means of contour lines.

Measure (data warehouse)ComputingMethodologies_PATTERNRECOGNITIONFuzzy inference systemComputer scienceContour lineSettore ING-IND/17 - Impianti Industriali MeccaniciPerformance indicatorData miningcomputer.software_genrecomputerProject Performance Measurement Earned Value Fuzzy Inference SystemTask (project management)Earned value management
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Project During Execution – Strategy – Updating

2014

This chapter fundamentally examines project performance during its execution period, however, risk must always be considered, especially at the very beginning of the project when the risk is normally maximum, and at each update. In the Project Monitoring stage, this chapter explores what happens with foreseen risks, that is, if they really happened or not and their consequences. In the Project Control stage, the chapter uses Earned Value Analysis and examines Performance Factors, which are used to predict completion regarding time and cost. However, because these calculations are based on past performance, there is always the risk that this performance will not be replicated in the future, …

Normal distributionRisk analysis (engineering)Computer sciencebusiness.industryValue (economics)Distribution (economics)Project controlProbability curveCompletion timebusinessRisk managementEarned value management
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Project monitoring by dynamic statistical control charts

2020

Project monitoring activities are fundamental to assure a timely identification of unacceptable project's deviations from the baseline, so that corrective actions may be taken to bring the project back in line with its objectives. Regarding this, the most used approach is the Earned Value Management (EVM) technique. However, traditional EVM metrics do not allow the Project Manager (PM) to recognize if project deviations are due to the natural project variability or to systemic and undiscovered causes that are moving the project to unacceptable out-of-controls. With this recognition, a statistical project control system based on the use of dynamic Shewhart's and CUmulative SUM (CUSUM) contro…

Settore ING-IND/17 - Impianti Industriali MeccaniciShewhart's and CUSUM control chartsDynamic control chartsProject monitoringEarned value management
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