As the result of my work, I constructed a system which can successfully determine the root cause of a faulty behaviour of machines on the production line, can provide a guidance to resolve the issue and create a report of it at the end of the whole process with all the information that can be useful for later analysis.
System usage requires registration and log in. The users of the system are either facility workers or specialized technicians (specialists). The facility workers’ job is to create reports and take part in the reporting process. The technicians are responsible to upload the required data into the system, to manage user account (manage registration permissions, remove users for the system) and to review the reports.
Based on the Ishikawa-diagram the system stores questions for each main issue. The user can find the root cause while answering these questions. For every root cause, the system stores a guide with which the user can successfully resolve the issue. These guides can be viewed by the user. The user can do all this through an Android application which communicates with the main server and with its database. If the system was able to detect the root cause and based on the user’s responses the problem got resolved, the issue will have a “solved” state in the report and the report itself will be considered closed. In the other case, when the system failed on finding the root cause and none of the user’s attempts were successful on resolving the problem, the system marks the report as “unsolved” and stores all the important information in the report for later analysis. Also, in this case the system gives an opportunity for the user to get in contact with the specialist responsible for the given device directly and inform him/her about the failure via email. The complete reports contain the questions and the user’s answers on each of them. The creator is also marked in them, so the technicians can contact the individual if needed. The system has a web interface to analyse and review reports, which is accessible without having a user account. This way outer specialists can also do reviews on the reports and analyse their data, but there is no sensitive information stored in them.