## 5 Data Evaluation of the Implemented Innovated Methodology  
We evaluated the performance of preventive maintenance as a whole as well as each block separately using exported data from our created and implemented information system (Mpoint). The Mpoint information system plays the role of CMMIS in the company ITT, which is engaged in the production of brake pads. Currently, the system is fully implemented throughout the production plant and more than 200 users work with it. The information system contains basic functionalities to support the TPM methodology. At present time, the information system is already working on the basis of the innovated TPM methodology, which is the main goal of this article. It is an effective maintenance solution based on the use of information technology and its tools. It is able to capture and maintain maintenance data and, based on the data stored in databases, continuously analyze the data using statistical methods that we have implemented in it. The objective is to achieve a rising curve of preventive maintenance percentage within the time series. The performance is determined as a ratio of executed and missed preventive checks. * **High successfulness**: 75% of executed preventive checks--green colour;
* **Medium successfulness**: 50% to 75% of executed preventive checks--yellow colour;
* **Low successfulness**: below 50% of executed preventive checks--red colour. Missed preventive checks might be of several reasons: lack of workforce, time exigency of planned preventions, lack of spare parts, and absence of a specialised component. A frequent reason is also a change in the production plan, resulting in the downtime omission. On Figure 13 and in Table 2 you can see an immediate improvement of the result after the introduction of the new methodology. After the introduction of the aforementioned preventive maintenance management system, an enormous increase in abnormalities was seen, see Figure 12, between July 2020 and December 2020, which was caused by the transition from dual operation to a new process built by us. Here you can see a clear improvement in the registration of individual abnormalities, which were not registered or even completely ignored before the introduction of the system. Therefore, managers have a much greater overview of critical areas of maintenance and can better respond to situations. They do not miss important information regarding the condition of production facilities. Figure 12: Component lifecycle. Furthermore, on the Figure 14, a break can be seen between December 2020 and May 2021, when the system began to show a decrease in active abnormalities caused by the introduction of the system of performing the AM block of preventive maintenance. This block can eliminate some of the abnormalities that arise mainly from poor quality and unorganized regular maintenance. It is clear from this that the innovated methodology started to work and the proposed concept was successfully implemented. The number of abnormalities has decreased significantly (January 2021 from Figure 14), thus improving one of the main challenges of the TPM. Furthermore, thanks to these statistics, managers are able to control the effectiveness of preventive maintenance using KPI, which is authoritative for determining the quality of maintenance. Therefore, it is quite clear that the quality of maintenance has increased rapidly since the system was introduced and can positively affect several factors of maintenance. In January 2021, there was likely to be an improvement and overall reduction in abnormalities. Until then, the data were only monitored and in January the methodology was deployed. As already been mentioned, the objective was to achieve a rising trend in preventive maintenance execution, ideally up to 100%.