A data-driven approach for a project management methodology for R&D Projects.

Abstract

The thesis is based on the proposal of an R&D project management methodology based on the Earned Quality Method (EQM) and data analysis to improve the efficiency of R&D projects in a near-real production environment in a TRL 5 to 7. The thesis relies upon published papers that propose measuring and improving the management of R&D projects. The methodology leans on the formulation and gradual and recurrent evaluation of quality criteria as a performance indicator of the work carried out. The thesis stands on the concept that quality is a measurable quantity that accumulates throughout the project. The proposed project management methodology is built on three main aspects: Collaboration between the University and Industry; The correct interpretation of the TRL where research projects are developed; The study of different metrics for project management, such as the measurement of the success of projects, the KPIs of a project-based organisation, and the EQM. The methodology has been tested with three actual use cases with different characteristics in terms of project size, funding and team members; and validated on an R&D Centre in Advanced Manufacturing in Aeronautics. The pillars of the thesis are focused on the analysis of the mentioned components and their integration for the development of a methodology to improve the efficiency in the use of resources and the quality of obtained results in the R&D projects' framework. The key findings of these studies demonstrate the effectiveness of using quality criteria for measuring progress in the management of R&D projects, as well as providing a better understanding of several critical aspects of the realisation of these projects.