Skripsi
Analysis of cutting machine effectiveness in autoclaved aerated concrete (aac) production using the overall equipment effectiveness and six big losses methods (case study at pt.xyz) / Ihwan Rafiudin
Abstrak
The construction industry in Indonesia is experiencing rapid growth in line with the increasing demand for efficient and environmentally friendly building materials. One of the most sought-after materials is Autoclaved Aerated Concrete (AAC) due to its advantages such as lightweight good thermal insulation and ease of installation. However its production process still faces challenges related to low efficiency caused by imbalances in the operating speed between transfer machines leading to high machine downtime and reduced productivity. This study aims to evaluate the effectiveness of the cutting machine in AAC production at PT XYZ using the Overall Equipment Effectiveness (OEE) method and Six Big Losses analysis to improve efficiency and meet market demand. This research adopts a descriptive quantitative approach with a case study method. Data were collected through direct field observations interviews with operators and the head of the technical innovation department as well as historical documentation of the production process. The OEE calculation is based on three main components availability performance and quality. Meanwhile the identification of loss sources is conducted based on the Six Big Losses categories breakdown losses setup and adjustment losses idling and minor stoppages reduced speed quality defects and scrap. The analysis shows that the average OEE value of the cutting machine is only 55% which is significantly below the industry standard of 85%. This decrease is primarily due to suboptimal machine performance resulting from speed differences between transfercar 1 and 2 influenced by varying operator skills and inappropriate material (cake) characteristics. Cakes that are too wet or too hard along with an unstructured machine cleaning schedule further contribute to high idle time. To address these issues it is recommended to implement regular preventive maintenance conduct operator training establish standardized cleaning procedures and improve time management and raw material quality. These findings are expected to serve as a basis for strategic decision-making to enhance equipment effectiveness and overall production productivity.