Earned Schedule min-max: Two new EVM metrics for monitoring and controlling projects

[EN] Earned Value Management (EVM) is a well-known project management technique for monitoring project progress. Over the last 15 years, many promising EVM metrics have been proposed to get, among other improvements, better actual project duration and cost estimates. Papers comparing the performance...

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Detalles Bibliográficos
Autores: Ballesteros Pérez, Pablo, Sanz Ablanedo, Enoc, Mora Melià, Daniel, González Cruz, María Carmen, Fuentes Bargues, José Luis, Pellicer, Eugenio
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2019
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/23675
Acceso en línea:https://hdl.handle.net/10612/23675
Access Level:acceso abierto
Palabra clave:Ingeniería de minas
Ingeniería forestal
Topografía
Earned value
Earned schedule
Earned duration
Project duration
Deterministic techniques
Descripción
Sumario:[EN] Earned Value Management (EVM) is a well-known project management technique for monitoring project progress. Over the last 15 years, many promising EVM metrics have been proposed to get, among other improvements, better actual project duration and cost estimates. Papers comparing the performance of all these metrics are, however, scarce and sometimes contradictory. In this paper, a simulation and empirical comparison of 26 deterministic project duration forecasting techniques under the EVM framework is developed. Among them, two new metrics: Earned Schedule min (ESmin) and Earned Schedule max (ESmax) are proposed. ESmin and ESmax offer a new and simpler activity-level calculation approach of the traditional Earned Schedule metric. Top performing (most accurate) metrics: Earned Schedule (ES), Earned Duration (ED) and Effective Earned Schedule (ES(e)) with Performance Factor 1 (PF = 1), are slightly outperformed by the new metrics which also offer some interesting applications for enhanced project control