سيدحسام حسيني زاده مظلومي

Industry 4.0 technologies have sophisticated equipment, and businesses must be more efficient in competitive market situations. To overcome these challenges, maintenance effectiveness and efficiency must be enhanced. Lean smart maintenance and other modern maintenance techniques emphasise corporate culture and process management. Additionally, other studies have indicated that collaboration and coordination between the maintenance department and other departments are challenging and impact the performance of the maintenance crew. As Peter Drucker said, "If you can't measure it, you can't manage it" the synchronisation level between different departments engaged with maintenance processes should be eva‎luated. Besides, information systems such as computerised maintenance management systems (CMMS) have become pervasive, and valuable databases can be used as an excellent source for performance measurement. This study proposes a conceptual module model for information systems that analyse the maintenance process and the level of synchronisation within the organisation. This conceptual module uses CMMS data and turns them into event logs and then extracts different types of event log datasets. Process mining algorithms analyse event logs from different perspectives and provide diagrams and analysis to detect maintenance processes and department relations failures. In order to verify the conceptual model's effectiveness, a case study has been done. The study was accomplished by cooperating with Hamkaran System, an ERP (enterprise resource planning) provider. The case study is one of the customers of the Hamkaran System's ERP, which the company name is confidential and is a cement production company. This study used two types of data: the data that users entered into the software and the unchangeable software logs. The dataset was turned into the desired event log then, based on module guidelines, the process mining tools were applied to the datasets. The results illustrate a significant issue in data recording of the maintenance process and issues in working with the software. There was a considerable lag in work assignments by the maintenance crew and part delivery by the warehouse. Overall, the case study's finding shows that the information system implementation was unsuccessful, and process mining can tangibly reflect the process issues.

نگهداري و تعميرات هوشمند ناب , نرم افزار نگهداري و تعميرات , ارزيابي عملكرد , فرايندكاوي , هماهنگي

Lean Smart maintenance , CMMS , performance measurment , process mining , synchronization

Hesam Hosseinizade mazloomi

Dr. Moeini