VormAInt

In the training offer, there are courses available for different target groups.  

1. Artificial Intelligence for technicians and operators
The following training courses are available for this target group:

• Orientation awareness classroom training AI for technicians in an asset-intensive environment
• Orientation awareness classroom training AI for operators in an asset intensive environment

Content

These trainings are designed to increase the competencies of technical staff and operators.  We teach them about the impact of AI on maintenance, what will change for them as a maintenance technician or operator, what the benefits are and how AI will influence the proactive workflow.  The crucial role of the maintenance technician and operator in the development of an AI trajectory and in the intelligent factory is shown.

We teach the target group that humans can optimally work together with technology and clearly show them the benefits of the relationship human vs technology.

In short, the trainees are taught what is changing for them in the field and how to deal with these changes.  The emphasis is on the different contexts that exist, starting from a historical perspective where the evolution from industry 1.0 to industry 4.0 is discussed.  The evolution from a proactive workflow to an integrated digital reliability and maintenance framework is discussed.

When?

The first pilot trainings took place in January and March 2021. 

The e-learnings are available for free (for both members of BEMAS as non-members). More information can be found here.
 

2. Artificial Intelligence for Maintenance & Reliability Engineers
For this target group we developed the following training courses:

• Orienting two-day classroom training AI for Maintenance & Reliability Engineers
• Applying AI for Maintenance & Reliability Engineers

Orientational two-day classroom training AI for maintenance and reliability engineers

The two-day course outlines the importance of AI today and in the years to come. We explain AI and machine learning and increase competencies of what key family algorithms are out there, linked with examples of how this can be applied.  Students will learn what the AI process looks like and what steps need to be taken to successfully get algorithms into production.

Competencies regarding Machine learning (predictive, prescriptive,...) and Operations research (optimization, linear programming, mixed integer linear programming, non-linear programming, genetic algorithms,...) are increased.  Students learn about the opportunities and challenges for a future with a focus on digital reliability and maintenance.

They also learn about the risks and pitfalls and about the quality and availability of data.

When?

The orientation two-day classroom training took place for the first time in June 2021.
The hybrid training took place as a 'summer school' from July to October 2021.

Starting in 2022, BEMAS will schedule these trainings regularly in the training calendar.

Application track: Applying AI for Maintenance & Reliability Engineers

In this course, we focus on the current and future role of the maintenance & reliability engineer and how AI will impact their work. We look at how their role will evolve when AI is embedded in operations.

Competencies regarding the use of digital architecture are increased. Students learn how to capture and organize machine and process data via IOT (Industrial Internet of Things) and how to build AI models applied to maintenance, reliability and asset performance.  The general principles of predictive modeling, classification, regression, forecasting and anomaly detection are covered.  Also the types of neural networks, how they work and how they can be applied in an industrial practice are taught. Statistical learning and data preparation are covered. 

We go through the evolution from Analysis to Analytics, from 'seeing' to 'self-optimizing'. We teach the students the transition and evolution from a discriptive attitude (we see what happens) over the diagnostic (we understand why it happened) and predictive (we are prepared for what will come) to the prescriptive (we know ourselves what action to take). 

When?

The pilot edition of this training took place from July to October 2021. For more details click here. 

Starting in 2022, BEMAS will schedule this training in the training calendar annually. Would you like to be kept informed about when the next edition of this training will take place? Let us know here.

3. Artificial Intelligence for Operations Managers, Maintenance Managers and Project Managers.
For this target group we are developing the following training courses:

• Orienting one-day classroom training AI in maintenance for managers and executives
• Classroom training for making a business case for an AI project in maintenance
• Classroom training for strategic and tactical setting up of an AI course in maintenance

This module addresses the business case of AI in a technical environment. The aim is to increase the competences regarding the concrete project planning and implementation follow-up of AI projects (structure awareness, the digital journey, 'fail fast, fail cheap, fail forward method). 

The participants will get knowledge and skills of what exists in the market and what is needed to start such AI projects. They will get an overview of what best practices exist and what organizations are already successfully using AI. They will also be able to point out the important pitfalls and risks in an AI project and how they can make AI a success in their organization. Students will learn how to set up a business case and how to launch an AI Proof of Concept (POC).  The challenges and pitfalls of starting AI POC are taught and how to embed AI.

When ?

The pilot courses on these topics have taken place in June 2021.

Starting in 2022, BEMAS will schedule these trainings regularly in the training calendar. Would you like to be kept informed about when these trainings will take place? Let us know here.

The results of this project are available for members and non-members. Contact us at info@bemas.org if you are interested in this project. 

BEMAS and the project partners receive a total financial support of € 233,707.15 from ESF, the European Union and the Flemish Government.