White paper:
Engineering powered by digital

How to improve performance thanks to systems engineering coupled with data science and AI?


PDF version – 22 pages – 2020 – English


Discover in this white paper 5 customer feedbacks (EDF, CEA, Air Liquide, SNCF) on their digital transformation through 5 industrial digitalization projects.

Find out the advices of our experts on the transformation of engineering approaches thanks to digital, to improve the industrial performance and operational excellence of complex infrastructures.

Get inspired by 8 uses cases of digitalization in complex industries.

This document is the result of Assystem Digital Day, a special day dedicated to the industry 4.0, for the nuclear, public transport, life sciences, defence industries and other industrial sectors.

 

3 benefits from the white paper “Engineering powered by Digital”

Speeding up the performance of infrastructure engineering projectsThe developing of bespoke solutions for a rapid return on investmentBetter controling the management of very complex project

WHITE PAPER summary

5 feedbacks from our customers (EDF, CEA, Air Liquide, SNCF), to discover how systems engineering coupled with data science and artificial intelligence have enabled them to improve their performance :

  • Optimisation and reliability of complex schedules

“Industrializing planning processes, thanks to a tool to help decision-making, enables operational and on-site engineers to focus on tasks with higher added value.”

  • Bringing data science to railway infrastructure

“We need to be able to use data to help us interface with tools that still speak in analogue rather than in digital.”

  • Using data science and artificial intelligence for predictive maintenance

“We can imagine using this type of predictive maintenance solution for all sorts of other systems… The scope of possibilities is enormous.”

  • Developing Digital field services to support operators and enhance safety

“The process chain is now closely followed, which has generated considerable gains for us both in terms of productivity and safety.”

  • Business-related search engine, the new semantical Google

“The systems engineering method, combined with the new digital tools available, is going to give us much more peace of mind when anticipating how to manage the risks related to rehabilitation/ dismantling projects.”

3 conference abstracts to improve your knowledge in digital tools transforming systems engineering approaches 

8 uses cases to concretely address the solutions provided by system engineering combined with digital tools

excerpt

“Digitising engineering can only happen if there is convergence between business and data. And this lies at the very heart of what we are doing at Assystem. It’s all about switching from a document based approach to a data-based approach which, in addition to building up a technical body of knowledge, fully factors in the business dimension of projects. It does this by drawing on systems engineering – with modelling and data mining – and automating business processes in order to clearly identify project needs and their impact on the design, build, operational and decommissioning phases.”


PDF version – 22 pages – 2020 – English


 

Discover in this white paper 5 customer feedbacks (EDF, CEA, Air Liquide, SNCF) on their digital transformation through 5 digital projects.

Find out the advices of our experts on the transformation of engineering approaches thanks to digital, to improve the operational and industrial performance of complex infrastructures and 8 use cases in digital.

This document is the result of Assystem Digital Day, a special day dedicated to the nuclear, public transport, life sciences, defence industries and other industrial sectors.

3 benefits from the white paper “Engineering powered by Digital”

Speeding up the performance of infrastructure engineering projects

Developing of bespoke solutions for a rapid return on investment

Better controling the management of very complex projects

WHITE PAPER SUMMARY

  • 5 feedbacks from our customers (EDF, CEA, Air Liquide, SNCF), to discover how systems engineering coupled with data science and artificial intelligence have enabled them to improve their performance

Optimisation and reliability of complex schedules

“Industrializing planning processes, thanks to a tool to help decision-making, enables operational and on-site engineers to focus on tasks with higher added value.”

Bringing data science to railway infrastructure

“We need to be able to use data to help us interface with tools that still speak in analogue rather than in digital.”

Using data science and artificial intelligence for predictive maintenance

“We can imagine using this type of predictive maintenance solution for all sorts of other systems… The scope of possibilities is enormous.”

Developing Digital field services to support operators and enhance safety

“The process chain is now closely followed, which has  generated considerable gains for us both in terms of productivity and safety.”

Business-related search engine, the new semantical Google

“The systems engineering method, combined with the new digital tools available, is going to give us much more peace of mind when anticipating how to manage the risks related to rehabilitation/dismantling projects.”

  • 3 conference abstracts to improve your knowledge in digital tools transforming systems engineering approaches
  • 8 uses cases to concretely address the solutions provided by system engineering, digital engineering, data science and artificial intelligence.

excerpt 

“Digitising engineering can only happen if there is convergence between business and data. And this lies at the very heart of what we are doing at Assystem. It’s all about switching from a document based approach to a data-based approach which, in addition to building up a technical body of knowledge, fully factors in the business dimension of projects. It does this by drawing on systems engineering – with modelling and data mining – and automating business processes in order to clearly identify project needs and their impact on the design, build, operational and decommissioning phases.”

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