Seminar Programme

In an age where IoT and advanced sensors flood us with data, the real challenge is no longer just collecting information - it’s extracting clarity from the noise. This session will focus on how we must lean into understanding how machines fail to truly unlock the potential of condition monitoring technologies.

Will Ocean will guide attendees through a comprehensive journey: from selecting and applying the right condition monitoring tools (such as vibration analysis, thermography, ultrasound, and lubrication monitoring), to integrating these within a well-structured reliability strategy. The talk will stress the critical importance of Failure Mode Effects and Criticality Analysis (FMECA) and failure mode identification as foundations for choosing the right technology at the right time.

We will also explore the limitations of condition monitoring and how it must be complemented by optimised Preventive Maintenance (PM) tasks that add measurable value. Most importantly, the session will highlight how to embed proactive maintenance behaviours into the fabric of your organisation through ongoing cultural reinforcement.

Attendees will leave with practical insights on how to turn data into action, build a cohesive reliability strategy, and create a reliability culture where proactive maintenance is the standard, not the exception.

Even the most well-maintained environments face unexpected breakdowns. This presentation will explore how maintenance teams can take control of reactive work while building longer-term resilience through better planning and smarter use of data.

Join us as we discuss practical strategies to help you respond effectively to unplanned maintenance events, without losing sight of your wider asset management goals. We’ll share insights into the role of modern CMMS/EAM solutions in managing emergency repairs, prioritising tasks, and enhancing visibility across teams.

We'll also examine how moving towards more planned and condition-based maintenance can reduce reactive workloads, improve asset performance, and create a more stable, cost-effective maintenance environment.

Ideal for maintenance leaders and engineering professionals looking to shift the balance from reactive to proactive, without compromising operational continuity.

This session explores how Lean and KAIZEN principles, when combined with digital tools and Maintenance 4.0 strategies, can significantly enhance maintenance performance. Participants will discover how the integration of traditional continuous improvement methods with emerging technologies enables predictive maintenance, reduces unplanned downtime, and increases asset reliability. Featuring a real-world case study from the automotive sector, the session will illustrate how structured, data-driven improvements can deliver measurable operational and cost-saving results.

Key topics to be covered:

• Introduction to Lean and KAIZEN in the era of Maintenance 4.0
• Integrating autonomous, planned, and predictive maintenance strategies
• Leveraging digital tools and real-time data for smarter maintenance decisions
• Case study: Measurable results from implementing a continuous improvement programme in maintenance
• Practical tools to initiate a Lean and digital transformation in technical environments
• Building a sustainable, tech-enabled culture of continuous improvement within maintenance teams

Participants will leave with actionable insights and a modernised framework for enhancing maintenance efficiency - balancing the human and digital dimensions of reliability and cost control.

The presentation will explore the performance claims often made about metalworking fluids, highlighting what maintenance and engineering professionals need to consider when evaluating these products. David Wright will delve into key considerations such as compliance with health and safety regulations and industry best practice. The session will equip attendees with the insight needed to make more informed decisions when selecting and using metalworking fluids on-site.

This presentation explores the evolution of ERIKS' Condition Monitoring offering, from a traditional portable service to a cutting-edge solution monitoring over 40,000 parameters in real-time.

The session highlights how enriched datasets, powered by artificial intelligence, are used to identify the most likely failure modes, enhancing diagnostic accuracy. David will examine through case studies and customer experience how demands have driven innovation, and how ERIKS has aligned its approach with established industry standards while going beyond conventional vibration analysis.

Manufacturing businesses, regardless of size, often find themselves trapped in a reactive cycle, where assets dictate the use of valuable resources, draining time, money, and labour. To break free, it's essential to implement a proactive strategy for asset care. Could Reliability-Centred Maintenance (RCM) be the solution?

Andy delves into what RCM entails, why it isn’t universally adopted, and whether it remains relevant in 2025. The UPTIME Consultant MD will highlight the importance of a guiding principle in crafting a successful maintenance strategy. By the end, you’ll have a clear understanding of whether adopting the RCM philosophy is the right tool to drive improvement in your business.

For decades, industry have relied on recommendations of how much grease to apply to their bearings. But what about all the factors that can change that will have knock on effects to the grease requirements on their bearings? Using Ultrasound technology to monitor and trend your bearings, will give you key insights into what your bearing needs and when it needs it.

Effective maintenance management depends on applying the appropriate maintenance techniques.

Factors such as fault and failure modes, criticality and cost-effectiveness need to be considered.

Using the wrong maintenance technique can waste time, money and resources, often with no effect on improving or maintaining availability. In this context, standards, training and certification can all help to drive best practice.