SimpleWays OÜ
A maintenance practitioner in 2025 must master data-driven maintenance, AI tools, strategic alignment, practical KPIs, and Reliability-Centered Maintenance to optimize asset reliability, enhance decision-making, and deliver maximum value in today’s complex industrial environments. Let’s see how?
Across 5 skillsets, we had briefed dozens of skills that reliability teams need to embrace. Our team need to combine these technical and interpersonal skills to effectively contribute to the reliability and performance of systems within their respective industries. Continuous learning and adaptation to emerging technologies are also crucial in this dynamic field.
By following these steps, you can systematically collect enough maintenance-data for reliability analysis, enabling you to make informed decisions, improve maintenance strategies, and enhance overall system performance.
The transition from 2023 to 2024 offers an invaluable opportunity for us on the personal and organizational levels. That’s not only to unbox new opportunities and foster innovative thinking but also to conduct a comprehensive roundup of lessons learned.
Embracing common sense in maintenance leads to more effective decision-making, a user-centric approach, and a culture of continuous improvement.
The successful implementation of maintenance reliability concepts is intricately tied to effective coaching. That’s in order to foster a reliability-centric culture, align teams with strategic objectives, and many other objectives explored in this article.
You can build the complete maintenance process around data visualization. There is no activity in maintenance that won’t get better by adding data visualization. it’s essential to choose the right types of charts and graphs based on the specific goals and characteristics of the data.
Run charts are a valuable tool in reliability engineering for continuous monitoring, trend analysis, and decision support. They contribute to a proactive and data-driven approach to managing and improving the reliability of systems and processes.
There are many different techniques and tools you can leverage to visualize data. This series is to know which ones to use and when. We had started by one of the most relevant tool to our daily maintenance and management work which is the Pareto Chart. We expect that all maintenance team and professionals would like to know these skills in order to take and understand data-based decisions.
It is important to bring AI or Artificial Intelligence closer to our minds. If only we can understand the AI intentions and thinking methodology