How Do You Develop a Project?

Switch from reactive to predictive maintenance

Reactive maintenance is based on solving problems only when they arise.
Predictive maintenance, on the other hand, predicts thanks to careful machine condition monitoring, and saves time, money and soothes your nerves by preventing unexpected downtimes.
Do you prefer to struggle with unforeseen problems or go for smart maintenance?

We prefer to STRUGGLE with unforeseen problems (reactive maintenance)

We repair only broken equipment.‎
We only solve problems when production halts.‎
If a machine works, we don't touch it.‎
We get express spare parts to replace broken parts.‎
We don't monitor energy consumption as we don't need to save energy.‎
We don't mind additional charges for express repairs.‎
Our maintenance engineers work overtime if problems occur.‎
Our maintenance engineers get paid for on-call duty as well.‎

Drag to switch

We prefer SMART MAITENANCE

We carry out regular monitoring of machine conditions, based on data collection.
We perform preventive maintenance of all machines during scheduled downtime.
We can tell when machine condition is worsening and so plan timely servicing.
We always keep spare parts in stock. (We know what's happening to our machines.)
We monitor energy consumption and so save energy.
We don't need express delivery. We order everything in time.
Our maintenance engineers have a regular task schedule and don't have to solve unexpected breakdowns.
Non-stop on-call duty of maintenance engineers is unnecessary.‎

How it really works

how do you develop a project:
from data collection to predictive maintenance step by step

I'm interested in project development in terms of maintenance.

I'm interested in project development in terms of management.

1. Analysis

You'll show us how your maintenance works and describe your everyday tasks.

You'll tell us what worries you, what useless tasks you carry out, and what you think could be done differently.

2. Our recommendations

We'll advise you on what values should be measured to make your maintenance processes smoother.

We'll try to suggest proven processes that save time and are more efficient.

3. Proof of concept (pilot project development)

We'll develop a specific data collection solution for one machine.

Together we'll decide what sensors (wire/wireless), methods and frequency of data collection would be the most effective for you. We'll talk to your management about finances.

4. Pilot project implementation including know-how handover

We'll prepare the agreed solution for you. We'll agree on what you'll carry out by yourself (the installation of sensors, etc.) and what will be done by us (software programming, connecting the gateway, etc.).

We'll teach you how to work with data and how to troubleshoot potential technical problems.

5. Pilot project evaluation

After a trial period you'll help us assess the practicality of the solution and identify room for improvement.

We'll also suggest a possible project extension.

6. Future plans

We'll show you actual established predictive maintenance projects, and elicit your ideas of how you'd like to modernize your processes.

We'll talk to your management about project extension costs.

7.

Our aim is to make maintenance modernization work for you, save you time and money, and prevent unprofessional approach.

Let us know if you'd prefer to predict problems, rather than struggle with them when they occur.

1. Analysis

Your maintenance engineers will describe your maintenance processes to us. We'll suggest improvements leading to greater efficiency.

You'll tell us what your current maintenance system is lacking in. You'll also give us an overview of your costs, and identify areas that cost you too much.

2. Our recommendations

We'll assess the benefits of data collection and predictive maintenance for your company.

We'll propose the best way to implement high-quality condition monitoring. We'll recommend what to measure and discuss the most suitable solution.

3. Proof of concept (pilot project development)

We'll develop a specific data collection solution for one machine.

We'll calculate costs, return on investment, and consider a future project extension.

We'll discuss technical details with your maintenance engineers.

4. Pilot project implementation including know-how handover

We'll prepare the agreed solution for you. We'll agree on what your maintenance engineers will carry out by themselves (the installation of sensors, etc.) and what will be done by us (software programming, connecting the gateway, etc.).

We'll teach your employees how to work with data, and how to troubleshoot potential technical problems. It'll be easy for them then to connect new machines to an existing solution.

5. Pilot project evaluation

After a trial period you'll help us assess the practicality of the solution, and identify room for improvement.

We'll discuss benefits as well as potential problems. We'll also suggest a possible future extension, including the technical as well as financial side of things.

6. Future plans

We'll show you actual established predictive maintenance projects, and elicit your ideas of how you'd like to modernize your processes.

We'll discuss possible project extension costs with you. We'll also show you such innovations as digital twin and augmented reality, which will make your company stand out and show your top management that you're future-focused.

Our aim is to make maintenance modernization work for you, save you time, money, and prevent unprofessional approach.

Let us know if you'd prefer to predict problems, rather than struggle with them when they occur.