As any typical change management initiative, the Digital Spacecraft must be fully supported by top management in both ESA and industry to ensure that the required resources are allocated. The perimeter of this initiative is quite large and is structured in three main axes of interventions:
Note: The approach below is illustrated with engineering discipline. In parallel, it must be done with planning, control, management, infrastructure, etc.
To succeed in this challenging endeavour, it is crucial that change should only be progressive, in the respect of each stakeholder’s experience and existing investment. It is proposed to proceed in several steps and axes:
In the technical domain:
Related to the Supply chain:
Related to Management:
Specific pilots to test & learn about new ways of working and/or new solutions are necessary before any deployment at scale. Furthermore, pilots will find out risks, opportunities and costs for future use in ESA missions.
The current processes and tools should evolve to support spacecraft development and operations in a digital way, both at ESA and industry. This evolution must preserve the elements that have yielded the long and successful record of space missions. The ESA internal reflection shall start based on industrial experience on digital transformation. In particular, interfaces and new way of working with different stakeholders must be defined.This is the role of the Data Management group
In order to mature technologies, ontology (a common language intended to facilitate interoperability of tools) and data models, enhancing the instantiation and utilisation of the Digital Spacecraft (such as MBSE, Artificial Intelligence, Data Mining, Model Identification, IoT, etc.), the coordination of current R&D activities must be strengthened not only through the network of Competence Domains. This ensures that the planned activities are performed respecting the defined scope, time and budget.
In parallel, major players in spacecraft development and operations must work together to ensure the definition of specific protocols to exchange both engineering and management data and their formalisation in standards. Aiming at supporting interoperability, the standards for data modelling and exchange should not constrain the Agency or Industry to use any specific tool.