SimpleWays OÜ
Take charge of your mindset and redefine job satisfaction! Your job isn’t just a title—it’s how you contribute, whether in an office, remotely, or at home. Understand how your mindset shapes your experience, recognize limiting beliefs, and start shifting them to align with your goals. Lead your mind, shape your path!
Autonomous mindset embodies a state of self-reliance, independence, and the capacity to make decisions and take actions without needing constant external input or direction. Let’s break down what it takes to develop this mindset
By integrating ML with emerging technologies like edge computing, explainable AI, IoT, AR, and digital twins, we can unlock even greater potential. These technologies work in synergy to create a comprehensive and intelligent maintenance ecosystem. Let’s see examples
Explore the transformative role of machine learning (ML) in maintenance practices its applications in predicting failures of critical components like gearboxes, rotating equipment, and batteries, and high-stakes environments such as heavy industries & aviation with practical examples from different ML algorithms and references
Whether in industry or in our daily lives, embracing the maintenance mindset is a step towards a more efficient, sustainable, and well-functioning world. Let’s find out 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.
Maintenance-data is foundational to effective maintenance practices. It empowers organizations. How to use maintenance-data to create value? That’s what we are going to see
One of the problems in the era of big-data is what we are going to do with all the maintenance data we collect? If we don’t make a clear intention and added value out of this data, the team will lose the enthusiasm to keep collecting and preparing the data to be valuable for use.
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.
Ensuring data integrity in maintenance is fundamental for maximizing the effectiveness of maintenance practices, minimizing downtime, and supporting overall asset reliability. Let’s see how to achieve this.