Performance and reliability of PLM software is very important for the Business users. If the performance and stability of the PLM applications is not good, users tend to kill the application from Task Manager in case of no response from the application for longer than expected time. Similarly, applications may also crash due to stability issues of PLM. If users have to kill the application frequently or if it crashes frequently, it leads to the loss of time, data and productivity of the users. Such performance or reliability issues can be seen in CATIA V6 which are primarily caused due to improper configuration of the PLM application and not directly linked to the code of the CATIA V6. CATIA V6 is authoring tool for DS PLM.
One of the important KPI's to track the performance and reliability of PLM software is MTBF. Higher the value of MTBF, better are the performances and stability of the system. This paper presents the high-level process of data collection and MTBF calculation for CATIA V6. The accuracy of MTBF calculation depends greatly on how well the data is collected from the user workstations. Next, all the factors contributing to the MTBF are discussed. These factors are essential to understand what can cause the lower value of MTBF. Then, the methodology to improve the MTBF is presented. The methodology presented is based on finding the weakest component of the system by grouping the MTBF based on the contributing factors. Once the weakest component or root cause is identified a solution to resolve the issue needs to be implemented which will lead to MTBF improvements. This is an iterative process till the MTBF reaches the desired level.
This paper will provide the methodology to improve the MTBF of CATIA V6. Download the whitepaper to continue reading.