Asset Management via Smart Maintenance & AI (3 Days)

“Master the integration of advanced technology and strategic management to optimize asset performance and
drive enterprise-wide reliability.”

TRAINING OBJECTIVES:

WHAT DELEGATES WILL GAIN:
Implement a holistic, integrated approach to Enterprise Asset Management (EAM) that breaks down traditional silos.
Develop strategic maintenance management skills for budgeting, staffing, risk assessment, and reliability engineering.
Leverage cutting-edge technologies like plant digitization, real-time data, and AI (including predictive maintenance and digital twins).
Apply actionable strategies to optimize the entire asset lifecycle and improve Return on Investment (ROI).

WHO SHOULD ATTEND:

• Maintenance & Reliability Managers
• Operations & Plant Managers
• Engineering Managers (all levels)
• Asset Management Professionals
• Production & Planning Supervisors
• Technical & Financial Decision-Makers

Asset Management via Smart Maintenance & AI

“Master the integration of advanced technology and strategic management to optimize asset
performance and drive enterprise-wide reliability.”

THE WORKSHOP

This three-day program equips engineering managers to master modern Enterprise Asset Management (EAM) by
bridging corporate financial strategy and factory-level operations. It offers a holistic curriculum covering core
industrial pillars—operations, production, quality, and logistics, while focusing strategically on maintenance,
from budgeting and risk to reliability engineering. The course also explores transformative technologies like AI,
predictive maintenance, and digital twins, providing actionable strategies to optimize asset lifecycles, drive
continuous improvement, and build a connected, intelligent industrial enterprise.

Day 1: The Foundation of Modern Industrial Enterprise Management

Module 1: Introduction & The Paradigm Shif

• Welcome, Introduction, and Course Objectives.
• The Critical Gap: Bridging Corporate Financial Asset Management and Factory-Level Technical Management.
• The Role of the Modern Engineering Manager.

Module 2: Core Principles of Enterprise Asset Management (EAM)

• Introduction to EAM: A Holistic View of the Asset Lifecycle.
• The Modern, Proven Path to Enterprise Optimization.
• Breaking Down Information Silos: Integrating Data for Decision-Making.

Module 3: The Pillars of Operations & Production

• Production Planning and Control for Efficiency and Quality.
• Inventory Management: Optimizing Storage and Availability of Materials.
• Supply Chain Management: SRM, Logistics, and Distribution.

Module 4: Quality & The Pursuit of Excellence

• Quality Control: Ensuring Products Meet Standards. Principles of Continuous Improvement (CI) for Processes and Products.

Day 2: The Core of Maintenance, Risk, and Human
Capital

Module 5: Maintenance & Reliability Engineering

• Asset Management: Lifecycle Strategies (Maintenance, Repairs, Replacements)
• Reliability Engineering: Designing and Improving System and Equipment Reliability.

Module 6: Executive Management of Maintenance

• Executive Brief on Maintenance: Aligning Department Goals with Production and Business Objectives.
• Budget Estimation: Methodologies for Creating Mutually Acceptable Technical Budgets.
• Staffing: Hiring, Training, Retaining Talent, and Reward Structures.

Module 7: Managing Risk in Maintenance

• The Inherent Risk of (Not) Doing Maintenance.
• Best Practices in Risk Assessment and Management for Industrial Operations.

Module 8: The Human Factor

• Workforce Planning: Securing the Right Skilled Employees.
• Training and Development: Enhancing Skills for Improved Performance.
• The Psychology of Change: Managing Human Reactions to Restructuring and New Processes.

Module 9: Health, Safety, and Environment (HSE)

• Occupational Health and Safety (OHS): Ensuring a Safe Working Environment.
• Environmental Compliance: Minimizing the Impact of Industrial Operations

Day 3: Technology, Integration, and The Future Module 10: Regulatory and Financial Integration

• Legal Compliance: Adhering to Local and International Regulations.
• Financial Management: Cost Control, Budgeting, and Financial Planning for Technical Departments.

Module 11: Customer & Information Integration

• Customer Relationship Management (CRM) in an Industrial Context.
• Information Technology (IT) Integration: The Role of ERP Systems.
• Data Analytics: Leveraging Data for Operational Insights and Decision-Making.

Module 12: Modern Communication & Connectivity

• Methodologies & Technologies for Effective Factory-Wide Communication.
• Designing the Optimal Communication System for Your Enterprise.

Module 13: Optimization via Digitization & AI (The Future of EAM) 

• Industrial Asset Management Optimization via Plant Digitization:
• Real Data in Real Time.
• Building the Totally Connected Enterprise.
• Advanced Maintenance Management Enhanced by AI:
• The Application of Artificial Intelligence in Predictive Maintenance.
• Introduction to Digital Twins and Their Role in EAM.
• A Step-by-Step Guide to Implementing Latest Technologies for Enterprise-Wide Benefit.
• Module 14: Open Discussion & Course Close-Out
• Synthesizing the Course Learnings.
• Developing an Action Plan for Your Enterprise.
• Open Forum: Q&A, Challenges, and Solutions.
• Course Conclusion and Final Remarks.