Dr. Adi Rusdi Widya ST MT during his dissertation presentation at the Open Doctoral Promotion Session at the Department of Systems and Industrial Engineering, ITS

ITS Campus, ITS News — Dr. Adi Rusdi Widya, ST, MT , a doctoral graduate of the Department of Systems and Industrial Engineering (DTSI) at the Sepuluh Nopember Institute of Technology (ITS), has successfully developed a strategy for automated digital enterprise system maintenance through Digital Autonomous Maintenance (DAM). This innovation applies Internet of Things (IoT) technology and real-time monitoring to increase the effectiveness of machine maintenance automation.

During the DTSI Doctoral Promotion Open Session some time ago, Adi stated that the implementation of Autonomous Maintenance (AM) in the company’s system is still hampered by discipline and consistency in machine optimization. Despite the company implementing total productive maintenance, production machines still frequently encounter obstacles in the automation process. “These obstacles significantly disrupt production processes, such as recording results using checklist machines,” he added.

According to Adi, the company’s maintenance system requires an effective and optimal solution. This solution can be realized through a DAM that can identify operational needs, map critical AM activities, and optimize operator workflow notifications. This innovation has a more responsive system to machine conditions and operator behavior, which is assessed through machine reliability indicators.

Dr Adi Rusdi Widya ST MT (second from right) with colleagues in the machine optimization maintenance system research

Furthermore, Adi continued, this innovation involves several stages in more modern machine maintenance. Each production machine is first inspected using a digital checklist system , and operators work directly to perform initial repairs when problems arise. “If the problem is too complex, expert technicians will continue with more intensive repairs,” he added.

After the repairs are complete, Adi explained, the machine system will undergo a further inspection by the management. All inspection reports will be digitally archived in a database file for periodic evaluation. This process ensures faster, more efficient, and more transparent machine maintenance, ensuring safety and production quality.

Dr Adi Rusdi Widya ST MT (left) while optimizing the machine maintenance system with his colleagues

Next, the Bekasi native used Overall Equipment Effectiveness (OEE) to assess operator effectiveness. The results showed a 42.4 percent system improvement, resulting in increased machine availability, performance, and product quality. “This improvement was driven by a reduction in estimated sudden machine failures and an acceleration in operator response,” explained the Pelita Bangsa University lecturer.

The results of this research can be used to support the achievement of Sustainable Development Goals (SDGs) point 9, which focuses on Industry, Innovation, and Infrastructure. This relates to innovations in industrial machine maintenance. “Hopefully, the production process can run more comfortably and optimally with the support of existing technology,” he concluded hopefully. (ITS Public Relations)

Reporter: Mohammad Fariz Irwansyah
Translator: Devinka Mutianeira