Course : Generative AI Applied to Industrial Maintenance and OperationsOptimize diagnostics, technical documentation, and support for technicians
Practical course - 3d
- 21h00 - Ref. UMI
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 | Identify relevant applications of generative AI in industrial maintenance and operations |
| Leveraging AI tools to accelerate diagnosis, literature searches, and operational support |
| Structuring effective queries to obtain reliable and actionable answers in an industrial context |
| Produce technical documents, reports, and procedures with the help of AI |
| Assess the limitations, risks, and best practices associated with the use of AI in industrial settings |
Intended audience
Maintenance managers, maintenance technicians, maintenance and methods engineers, operations managers, industrial managers, automation engineers, field team supervisors, continuous improvement managers, and digital transformation leads.
Prerequisites
No special knowledge required
Practical details
A mix of methodological instruction, demonstrations, and intensive hands-on practice. Use of the latest generative AI tools and collaborative environments suitable for both in-person and remote learning. Industrial use cases, guided exercises, and contextualized case studies.
Course schedule
1 Understanding the Benefits of Generative AI in Industrial Operations
- Define the fundamental principles of generative AI and large language models (LLMs)
- There are three main categories of AI applications: text-generation AI, document analysis AI, and operational support AI
- Analyze use cases applicable to preventive, corrective, and condition-based maintenance
- Identify operational benefits: reduced diagnostic time, improved documentation management, support for technicians
- Assessing the Current Limitations of AI: Hallucinations, Reliability of Responses, Cybersecurity, and Industrial Data Privacy
Hands-on work
Group analysis of use cases drawn from real-world industrial environments. Collaborative workshop in small groups aimed at mapping maintenance activities that could benefit from AI. Comparative study of several recent generative AI tools. Guided simulation: identification of potential benefits and associated risks in a field maintenance context.
2 Structuring Effective Requests for Diagnostics and Technical Support
- Develop prompts tailored to the needs of maintenance and operations teams
- Breaking down a technical problem to arrive at actionable answers
- Using AI to analyze failure symptoms and propose diagnostic hypotheses
- Generate troubleshooting procedures, checklists, and response plans
- Improving the Quality of Responses Through Contextualization and Iteration Techniques
Hands-on work
Individual exercises in prompt design applied to simulated industrial incidents. Workshop in pairs: creation of conversational assistants tailored to a specific piece of equipment or production line. Case studies focusing on scenarios involving mechanical, electrical, and automated failures. Comparison of results obtained using different formulation methods. Group debriefing on best practices for ensuring the reliability of responses.
3 Leveraging AI for Documentation and Knowledge Management
- Generate structured and actionable service reports
- Develop AI-assisted technical procedures, standard operating procedures, and quick-reference guides
- Compile technical reports, maintenance histories, and manufacturer documents
- Organize the documentation of field knowledge and lessons learned
- Using AI to Make It Easier to Find Information in a Technical Database
Hands-on work
Hands-on workshop based on real or simulated service reports and technical documents. Individual exercises in developing and refining maintenance procedures. Group role-playing: creation of a simplified knowledge base powered by AI. Practical case study involving the automatic synthesis of a failure history to identify trends and corrective actions.
4 Using AI as an Operational Field Assistant
- Using AI to Plan a Maintenance Task
- Use multimodal AI tools to analyze images, electrical diagrams, screenshots of user interfaces, or photos of defects
- Help field teams understand complex technical documentation
- Facilitate the sharing of instructions and communication among teams
- Using AI to Support Less Experienced Technicians
- Integrate AI into existing operational processes (CMMS, work orders, tracking forms) without disrupting established business practices
Hands-on work
Group role-playing exercises based on comprehensive field service scenarios (from ticket intake to case closure). Exercises in analyzing technical diagrams, alarm messages, and manufacturer documentation using multimodal AI tools. Role-playing exercises between technicians and supervisors using AI as a support and communication tool. Collaborative workshop on preparing for a complete service call: diagnosis, procedure, communication, and reporting.
5 5. Regulate the use of AI and deploy it in an industrial environment
- Identify the security, privacy, and compliance issues associated with the use of AI
- Defining Best Practices for Using AI Tools in Industrial Companies
- Evaluate the relevance and reliability of the responses generated by AI
- Developing a phased approach to integrating AI into maintenance and operations activities
- Measuring operational gains and related performance metrics
- Understanding the drivers of resistance to change among field teams and identifying the factors that promote adoption
Hands-on work
Group case study on the risks associated with the use of sensitive data in AI tools. Breakout-session workshop: development of an AI best-practices charter for a maintenance department. Creation of a deployment action plan tailored to the participants’ environment. Oral presentation and group discussion on operational priorities and success factors.
PARTICIPANTS
Maintenance managers, maintenance technicians, maintenance and methods engineers, operations managers, industrial managers, automation engineers, field team supervisors, continuous improvement managers, and digital transformation leads.
PREREQUISITES
No special knowledge required
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Maintenance managers, maintenance technicians, maintenance and methods engineers, operations managers, industrial managers, automation engineers, field team supervisors, continuous improvement managers, and digital transformation leads.
PREREQUISITES
No special knowledge required
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
Dates and locations
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Remote class
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Session garantie
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.