# Assisted-Driven Design of Customized Maintenance Plans for Industrial Plants
## 3 Application: Results and Discussion
### Use of the Application to Resolve a New Failure Case by Assistance  
Starting from a situation in which the complete planning and design assistance system has been launched (that is, a previous strategic definition has been applied) and obtaining as a result a productive area of interest to the management, for that productive area, a previous tactical definition by middle managers is later applied, resulting in a machine (section) to which the RCM design must be applied in order to improve its reliability and maintainability. At this moment, instead of applying a classic design using the RCM method, the use of driven RCM is made possible through the AIRCM application designed in a previous section for this purpose, with the advantages of minimizing the time spent by the users responsible for the design and the human errors inherent in handling extensive case databases. At this point, the AIRCM application has been launched on the machine identified as section \"EW\", the result of a previous tactical definition. Once the case base has been prepared, the data needed as input information will be fourfold, as can be seen in Figure 7. The last three variables locate the area where the problem to be analyzed has occurred, while the textual description of the problem has been entered with the first input variable. This has been prepared in this way because users (machine operators) who request maintenance intervention must submit a work request, PT, which is nothing more than the start of a Work Order (OT) of the CMMS application used by the maintenance department. It takes advantage of the existing equivalence between the description of a work request and the functional failure of a device, attribute FF, in Table 1.  
The input information of the new problem posed in the query window of Figure 8 has been introduced, describing the problem as a Functional Failure: \"They do not center the axes\"; for the AXIS equipment; for the Equipment: \"AXIS\"; within Installation: \"RESMAS\"; and Section: \"EW\". The three recovered cases similar to the problem raised have been obtained and ordered in descending order of similarity. As can be seen in the table in Figure 8, the case identified as ID = 2 of the Cases Base is the most similar to the problem posed. As can be seen, the cases ID = 3 and ID = 1 will be the second and third most similar among those found in the case base. However, the user of the application can choose the case that best suits the three cases presented, since it also allows him to see other variables such as failure modes or failure effects, which complete the FMECA. In this way, it is possible to recover similar cases and carry out an analysis of failure modes, effects and criticalities faster and easier than doing it again, in addition to adding the existing knowledge of the previous analysis of proven success. Once the user has chosen the case that best suits the needs of the new case or problem raised, he selects it himself by clicking on the Select attribute of the three cases presented on the screen. In this work, he has chosen the first one, ID = 2, since it is the most similar to the problem posed. Obtaining as an output the recovered case ID = 2, the review stage begins, assigning the case ID = 36 as an additional case to the 35 existing cases in the case base. Continuing with the review process, the second stage of the driven RCM process begins immediately by reviewing the contextual information of the new problem, as shown in Figure 9. With the occurrence, severity and undetectable data entered, the new Risk Priority Number (NPR) is automatically calculated. The second revision stage comprises redefining the new maintenance policy or class by following the RCM diagram in a guided way--that is, the user has been guided through the questions in the diagram, as seen in Figure 10, where the user answers the questions and the maintenance policy is obtained as an output.