2nd - 3rd November 2026
Agenda
DAY 1
08:00 – 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
The future of Maintenance
- Engineering Asset Management and maintennace
- Industrial AI
- Digitalisation
- Emerging technologies for maintenance automation
09:30 - 10:00
Culture Change for Reliability
- In this session an overview of what is required to change culture, to sustain this new focus on defect elimination, reliability, quality, safety, and customer focus.
- The journey from ‘reactive culture’ to the ‘precision domain of operations’ involves engaging the ‘being’ of people, in six dimensions, changing the relationships between workers and supervisors and across business silos.
- In this session these questions are explored, and a roadmap for culture change will be presented.
10:00 - 10:30
Next-Gen Non-Destructive Testing and Inspection: Ensuring Quality Without Compromise
- Exploring the latest advancements in NDT methods—digital radiography, ultrasonic phased arrays, and AI-assisted inspections
- Integrating NDT into digital manufacturing workflows for real-time defect detection and continuous quality monitoring
- Enhancing component lifecycle management through predictive maintenance and data-driven inspection strategies
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
Enhancement of Wireless Vibration Monitoring via Augmented Intelligence
- This presentation will review the path of a vibration program that was set through a large scale deployment on a corporate level.
- From the scoping per site to the impact on the daily routine of the onsite crews, this program had multi-level impacts that are directly influencing the reliability of critical equipment, and therefore productivity of the site.
- Additionally, we will review the correlation between different sensors available in the market and how they are able to incorporate artificial intelligence within their platform.
12:00 - 12:30
Seeing Through the Noise: Revolutionizing Condition Monitoring Technologies with AI
- We explore how an AI-driven solution helps leverage online data collection to dramatically improve diagnostic accuracy on assets that are prone to false alarms.
- Through intelligent data classification, a significant reduction of false alarms can be achieved, rendering reliable operation of assets, enhancing safety and setting a new benchmark for industrial maintenance efficiency.
- This presentation will help discover the transformative potential of merging AI with condition monitoring technologies to achieve operational excellence.
12:30 - 13:00
Fit for Purpose Defect Elimination Approaches to Improve Reliability at Your Site
- This presentation discusses the various stages of defect identification and the process, mindset, culture to be used for resolving the defects during each stage.
- The presentation also provides a high-level overview of the various problem-solving processes and techniques that can be implemented to minimize defects and improve reliability at your site.
PLANNED INVESTMENT AREAS
- Predictive Maintenance & Analytics
- Remote Management
- Non-intrusive Inspection
- Lubrication Systems & Fluid Analysis Solutions
- Connected Worker Solutions
- Industrial Cleaning
- HMI/SCADA
- Worker Safety
- Sound & Vibration Analysis
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Mechanical Protection
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- Process Digitalization & Automation
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Robotic Inspection & Maintenance
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Mobile/Field Worker Solutions
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
13:05 - 13:55
LUNCH
14:00 - 14:30
Driving Efficiency, Quality, and Innovation with Next Level Technologies
- Leverage machine learning to enhance condition-based maintenance and reduce downtime
- Enabling data-driven decision-making on the shop floor through seamless access to insights
- Identify and control variances to achieve peak operational excellence
- Coordinating processes through digital tools to minimize bottlenecks and increase productivity
14:30 – 15:00
Driving Excellence in Maintenance with Strategies for Plant Optimization and Navigating Emerging Demands
- What does driving efficiency, productivity, and reliability look like in our manufacturing sites
- Implementing 4DX methodology to ensure focused execution and accountability within teams
- Prioritizing strategic maintenance investments to enhance plant reliability and secure long-term success
- Adapting to emerging industry demands to stay ahead of market shifts and capitalize on opportunities
- Aligning manufacturing processes with evolving customer and market expectations for sustained growth
- Fostering a culture of continuous improvement to enhance efficiency and meet sustainability objectives
15:00 – 15:30
Leveraging AI-Powered Predictive Maintenance for Enhanced Production Efficiency
- Transforming production lines with AI-driven predictive maintenance tools to minimize downtime
- Using machine learning algorithms to anticipate equipment failures and optimize maintenance schedules
- Enhancing operational efficiency through real-time monitoring and predictive analytics
- Reducing maintenance costs and improving asset longevity with AI-powered solutions
- Integrating AI into maintenance strategies to ensure continuous production and reduce unplanned disruptions
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Future-Proofing Manufacturing with Predictive Plant Maintenance Strategies
- Implementing AI-powered predictive maintenance programs to reduce downtime and extend equipment lifespan
- Utilizing IoT-enabled sensors and real-time monitoring to detect early signs of equipment failure
- Enhancing reliability-centered maintenance strategies to prioritize critical assets and minimize disruptions
- Leveraging cloud-based analytics for remote diagnostics to improve efficiency and maintenance response times
- Optimizing spare parts inventory management to reduce costs and improve equipment availability
- Aligning predictive maintenance strategies with digital twin technology to enhance process optimization and forecasting
17:00 - 17:30
PETRONAS Expert Solutions: advanced condition monitoring
- PETRONAS Lubricants journey in digitalisation and condition-based preventive maintenance
- Why real-time condition monitoring through lubricants
- Building an accurate algorithm for failure diagnostics: digitalizing traditional experience
- Importance of choosing the right sensor
- Laboratory proof-of-concept & real-life application
- Pairing with PETRONAS Expert Solutions suite of added-value services
PLANNED INVESTMENT AREAS
- Predictive Maintenance & Analytics
- Remote Management
- Non-intrusive Inspection
- Lubrication Systems & Fluid Analysis Solutions
- Connected Worker Solutions
- Industrial Cleaning
- HMI/SCADA
- Worker Safety
- Sound & Vibration Analysis
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Mechanical Protection
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- Process Digitalization & Automation
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Robotic Inspection & Maintenance
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Mobile/Field Worker Solutions
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
17:30 – 18:00
Seamless Robotic System Integration for Smarter Maintenance and Reliability
- Implementing AI-driven robotics and machine learning to enhance speed, precision, and efficiency in maintenance
- Leveraging robotic vision systems for real-time adjustments to improve quality control and defect detection
- Integrating robotics with MES and ERP systems to optimize coordination and data-driven decision-making
- Utilizing collaborative robots for flexible automation to enhance workforce productivity and reduce safety risks
- Optimizing robotic system design for modular and scalable operations to future-proof manufacturing investments
- Aligning robotic system integration with sustainability initiatives to reduce waste and improve energy efficiency
18:00 - 19:00
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Agile maintenance management in a VUCA world
- Understanding the shift from 2025 business perspective and adopting to new environment for 2026
- Agile process as a tool towards maintenance Protocol
- Best Practices and Future outlook
09:30 – 10:00
From Total Cost of Ownership (TCO) to Total Value of Ownership (TVO): A Paradigm Shift
- Value in maintenance, reliability and asset management.
- Total Value of Ownership, definition and usage.
- Pitfalls of Total Cost of Ownership (TCO) sole focus.
- From TCO to TVO: concepts, comparison, and benefits.
- Real application of TVO in asset management decision making.
- Business case and proven implementation roadmap.
10:00 - 10:30
CMMS Maturity Assessment to Gain Higher Productivity & Reliability
Incorporating best practices into CMMS/EAM is crucial for enhancing workforce productivity and boosting asset reliability. Key focus areas of this presentation include some of the industry best practices to align CMMS/EAM with Asset Maintenance Management …
- processes
- reliability engineering
- data quality
- metrics, analytics
- user adoption
- systems & technology integration
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
Revamping and Repowering Solar PV Plants: A Practical Response to Aging Assets and Obsolete Technology
- Aging solar plants are increasingly constrained by obsolete inverter technologies, creating availability, compliance, and spare part risks that traditional O&M can no longer mitigate.
- Revamping and repowering have become operational necessities, not optimization exercises, to maintain performance, grid compliance, and contractual obligations.
- This session explores when and why intervention is required, using clear technical and economic triggers rather than theoretical end of life assumptions.
- Key engineering considerations in revamping projects: inverter replacement strategies, system redesign impacts, protection concepts, and commissioning risks.
- Practical insights from real plant experience, highlighting decision making under OEM exits, supply constraints, and long term asset value protection.
12:00 – 12:30
The Time Has Come for Scalable Vibration Monitoring: Behavior-Based, Threshold-Less, Explainable AI for All Machines
- From manual thresholds to scalable, explainable AI
- Behavior-based concepts that eliminate false alarms from thresholds and supervised pattern-matching, while reducing labeling dependency
- Sensor-agnostic and interoperable across all vendors
- Human-in-the-loop explainability that builds trust
12:30 – 13:00
From Insight to Impact: Asset Management Leadership with PREMA
- Empowering decision-makers with data-driven insights across the asset lifecycle
- Benchmarking performance across teams and sites – Identifying gaps and opportunities for improvement
- Visualising maturity across 16 asset focus areas – helps prioritise actions and allocate resources effectively
- Driving continuous improvement through smart metrics – Transforms benchmarking into a dynamic, ongoing process
- Aligning strategy with ISO 55001 standards – Supports leadership in setting direction and ensuring compliance
PLANNED INVESTMENT AREAS
- Predictive Maintenance & Analytics
- Remote Management
- Non-intrusive Inspection
- Lubrication Systems & Fluid Analysis Solutions
- Connected Worker Solutions
- Industrial Cleaning
- HMI/SCADA
- Worker Safety
- Sound & Vibration Analysis
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Mechanical Protection
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- Process Digitalization & Automation
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Robotic Inspection & Maintenance
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Mobile/Field Worker Solutions
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
13:05 - 13:55
LUNCH
14:00 – 14:30
Leveraging AI and Analytical Efficiency for Next-Generation Predictive Maintenance
- This presentation explores how advanced AI-driven predictive maintenance can address these challenges by leveraging the right data, analysis, and actions to reduce downtime and eliminate waste.
- Attendees will gain a comprehensive understanding of how AI-driven predictive maintenance can transform their approach to machine health.
- They will be equipped with the knowledge and tools to implement these advanced techniques, leading to safer, more efficient, and sustainable operations.
14:30 - 15:00
Revamping and Repowering Solar PV Plants: A Practical Response to Aging Assets and Obsolete Technology
- Aging solar plants are increasingly constrained by obsolete inverter technologies, creating availability, compliance, and spare part risks that traditional O&M can no longer mitigate.
- Revamping and repowering have become operational necessities, not optimization exercises, to maintain performance, grid compliance, and contractual obligations.
- This session explores when and why intervention is required, using clear technical and economic triggers rather than theoretical end of life assumptions.
- Key engineering considerations in revamping projects: inverter replacement strategies, system redesign impacts, protection concepts, and commissioning risks.
- Practical insights from real plant experience, highlighting decision making under OEM exits, supply constraints, and long-term asset value protection.