Francesco Giannuzzi
Programme Management Monitoring and Controlling: statistical predictive models to improve Estimate at Completion.
Rel. Alberto De Marco, Filippo Maria Ottaviani, Giovanni Luca Caiazzo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2023
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Abstract
Programme Management plays a crucial role in successfully executing a group of related projects which together achieve a common purpose in support of the strategic aims of the business. Effective monitoring and controlling activities in the context of a programme are essential to ensure adherence to budget and schedules. Forecasting cost estimate at completion is a fundamental aspect when managing a group of projects in a coordinated way. The thesis focuses on the development and implementation of statistical linear predictive models to enhance cost estimation accuracy and precision in comparison to the most widely used index-based methods, thereby enabling more informed decision-making, proactive cost control, and practical implementation guidance.
The research begins with a comprehensive review of existing literature and practices related to project and programme management, cost estimation, and statistical predictive modelling
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