Advanced roadmap to take maintenance to the next level in 2024-2
With this guide, your maintenance system can continuously evolve as time goes on. It is the roadmap that we can rely on for 2024.

With this guide, your maintenance system can continuously evolve as time goes on. It is the roadmap that we can rely on for 2024.

By leveraging basic tools and free online digital resources, organizations can embark on a journey towards a more efficient and reliable maintenance framework. This will make the roadmap to take maintenance to the next level in 2024 real.

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 key is in finding the balance in the now context between looking for a reason, waiting for an intuition and, following the common sense. Let’s see how we can reach there.

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.

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.

Our best version is always changing. Our environment and its rapid evolution adds touch-ups to how the end image will look like between now and then. However at any point of time, we have the freedom to switch to a different version that suits us better. The two main aspects of the best version we chose are authenticity and free evolving.

Seeking to know and apply how to move forward and propel your career and workplace toward their brightest future will give your life and work their true meaning.

It is worth noting that mastery can propel creativity forward or block it. This is the fact even though creativity and mastery seem to be entangled because the key ingredient for both of them is the knowing. let’s first understand the border lines between mastery and creativity.

Our first step to mastery is the knowing. We need to know our track and the target we would reach by following this track. But, we need to keep in mind that there are many tracks within the same skill. Each track has its own joyfulness, challenges, tools and most importantly a target. At any time we can switch to another track once we have the enough knowing about it.

The first step to digital confidence as well as any other sort of confidence is that you want to develop the awareness of the challenges that you are facing. And, to develop the consciousness of the alternatives to face those challenges.

Succeeding in a digital world is only the matter of developing a digital confidence that you will succeed in every new interaction with the digital world even if the context changes. This needs practice. And, some understanding of what happens behind the user interface UI.

It is important to bring AI or Artificial Intelligence closer to our minds. If only we can understand the AI intentions and thinking methodology

Let’s examine the responses of different mindsets in various situations based on their digital aptitude. In reality we are a mix of the four groups we displayed; starting from digital savvies to paper-based pragmatics. Each set of aptitudes will tell you how far you are digitally ready.

We are used to say learning skills. So, why digital skills need understanding not only learning? Is there a difference between learning and understanding? Are these differences between learning and understanding related only to digital skills? let’s delve deeper to gain more knowledge about the subject.

Recently Predictive maintenance strategy started to look differently from its long term twin; the condition based maintenance. This diversion started with the implementation of the IIoT and was entrenched more with the tools provided by the Industry 4.0.

The key for preferring an AI agent over a human one will be the feasibility of using one. Introducing AI tools to augment or replace human work force needs a workforce of its one. So still in the AI realm we shall need physical hard work, work consistency and awareness of the AI flaws.

The industry shapes how we do maintenance. The industry is heading towards an automated digital era. This means that maintenance needs to be ready with a new mindset and a digital skillset