The paper is focused on predictive maintenance in the automotive industry with a specialization in technologies related to Industry 4.0. The emergence of predictive maintenance with Industry 4.0 technologies is also called Maintenance 4.0. The article describes specific Industry 4.0 technologies, such as supervisory control and data acquisition (SCADA) and Predictive Maintenance (PdM), that are being implemented in manufacturing companies. The sample for the case study consisted of a paint shop from the automotive sector that operates in Turkey. In the data collection step, SCADA collected data from pressure sensors to create a historical database for PdM. The purpose of this article is to illustrate, through a case study, the importance of PdM using SCADA using Industry 4.0 instruments such as the Internet of Things and big data. 18 filters, which were replaced every 6 months during preventive maintenance, are now replaced at different intervals through PDM after this study. Based on SCADA data, a total of 2 filters experience blockage in both the primer and topcoat paint processes every 6 months. Over a 12-month period, an extra 9 filters are blocked across all processes. Furthermore, within a 24-month timeframe, a total of 7 more filters become blocked in the entirety of the operational processes. The results showed that the PdM combination increased the effectiveness of care by 45.83%.
Automotive Sector Industry 4.0 Maintenance 4.0 PdM (Predictive Maintenance) SCADA Smart Systems.
Birincil Dil | İngilizce |
---|---|
Konular | Otomotiv Mühendisliği ve Malzemeleri |
Bölüm | Article |
Yazarlar | |
Erken Görünüm Tarihi | 29 Eylül 2024 |
Yayımlanma Tarihi | 30 Eylül 2024 |
Gönderilme Tarihi | 4 Eylül 2024 |
Kabul Tarihi | 23 Eylül 2024 |
Yayımlandığı Sayı | Yıl 2024 |