Objectives

Learning outcomes

1. to have advanced and profound knowledge and insights in state-of-the-art technologies in service to smart O&M, and a solid understanding of the difference with ‘traditional’ O&M technologies

2. to have an understanding of global trends/concepts in smart O&M, and an understanding of the processes and challenges to implement smart O&M and the organisational impact thereof

3. to have a lifelong learning mindset, and integrate and further deepen previously acquired knowledge in order to recalibrate, renew and adapt concepts to the domain of smart O&M

4. to be able to make use of state-of-the-use (off-the-shelf) technologies to enable I4.0 compatible solutions, including; a) condition monitoring technology, b) secure data capturing, c) data analytics and extracting value from data, d) smart sensing, e) automated/remote O&M, and f) digital twins

5. to be able to develop and deploy cutting-edge solutions in an industrial reality, i.e. in which
requirements from procurement, production, quality, sustainability, supply chain, and specifically technicians and operators are integrated

6. to be able to manage technical, organisational and transformational risks related to implementing smart O&M technologies in an industrial setting, which includes Human-Machine and Human-Robot Interactions, dangerous work environments, and a rising complexity of technological systems

7. to possess a holistic understanding of interactions and processes in the industrial ecosystem to manage system complexity from a researchers' point of view: i.e. with the necessary creativity, accuracy, critical reflection, curiosity, and justification of choices based on scientific criteria

8. to be able to transform observational, modelled and measured data (through computerised systems) into strategic decisions within a company or organisation, considering the corporate or organisational culture, its mission and vision, and the socio- and techno-economic context

9. to be able to conduct industry embedded scientific research within the field of smart O&M, apply different research methods and techniques, statistically process the collected data and interpret the results and discuss them in a scientifically sound manner

10. to have acquired interpersonal skills to participate and collaborate in multi-disciplinary teams and
multi-attribute environments to control and develop smart O&M systems or strategies

11. to be able to act as a key figure in professional communication inside and outside an organisation, when designing and/or optimising and implementing a smart O&M system or strategy

12. to be able to act within a smart O&M-specific context with an engineering attitude: i.e. solutionand
result-oriented, with technical, economic and social preconditions in mind (such as sustainability or sociological/psychological/ergonomic aspects of human-machine interaction), and an innovative and interdisciplinary way of thinking