📌 General Introduction

The workshop titled Project Monitoring in Predictive Maintenance Systems addresses the rapid advancements in project management and intelligent industrial systems.

Integrating predictive maintenance technologies into projects is no longer just a technical option but a strategic necessity to ensure operational continuity, reduce downtime, and achieve maximum efficiency.

Monitoring projects in environments that rely on predictive maintenance requires leaders and professionals to have a deep understanding of technology, the ability to analyze big data, and the skills to develop proactive strategies that minimize risks and increase project value.

Over five intensive days, this workshop will provide participants with practical skills to monitor projects within predictive maintenance systems, from planning and setting performance indicators to using AI-driven predictive analytics and preparing strategic reports that support decision-making.

The program combines theory with practical applications, including real-world case studies, enabling participants to transform knowledge into actionable steps within their organizations.

🎯 Target Audience

• Project Managers
• Senior Executives (CEO, COO, CTO)
• Predictive maintenance and digital transformation experts
• Quality and governance officers
• Technical and engineering team leaders
• Industrial project management consultants

🎯 Expected Objectives

• Gain a comprehensive understanding of predictive maintenance and its role in projects.
• Acquire practical skills for project monitoring using data analytics tools.
• Develop proactive strategies for risk management and downtime reduction.
• Strengthen the ability to prepare strategic reports that support decision-making.
• Build professional networks with experts in project management and smart maintenance.

📚 Scientific Topics

Theme 1: Fundamentals of Predictive Maintenance and Project Monitoring

Session 1: Introduction to Predictive Maintenance

• Definition of predictive maintenance
• Difference between traditional and predictive approaches
• Importance of predictive maintenance in projects

Session 2: Principles of Project Monitoring

• Concept of monitoring and follow-up
• Basic monitoring tools
• Leadership’s role in monitoring

Theme 2: Strategic Planning for Predictive Maintenance Projects

Session 1: Designing the Project Plan

• Defining strategic objectives
• Formulating performance indicators
• Integrating predictive maintenance into planning

Session 2: Resource and Risk Management

• Efficient resource allocation
• Operational risk analysis
• Mitigation strategies

Theme 3: Measurement Tools and Predictive Analytics

Session 1: Key Performance Indicators (KPIs)

• Designing smart performance indicators
• Linking indicators to outcomes
• Periodic performance monitoring

Session 2: Predictive Analytics

• Using big data
• AI-driven fault prediction
• Digital analytics platforms

Theme 4: Reporting and Governance

Session 1: Smart Project Reports

• International reporting standards
• Structuring effective reports
• Practical examples of successful reports

Session 2: Governance and Transparency

• Importance of transparency in projects
• Communication strategies with stakeholders
• Building organizational trust

Theme 5: Practical Applications and Case Studies

Session 1: Global Case Studies

• Examples of predictive maintenance projects
• Analyzing successes and challenges
• Lessons learned

Session 2: Practical Workshop

• Simulated project monitoring exercise
• Preparing a predictive maintenance report
• Discussing results and improvement recommendations