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The implementation of predictive maintenance supported by SAP Plant Maintenance (SAP PM) at PT Xyz has proven to be effective in reducing machine downtime, lowering maintenance costs, and improving asset reliability. The integration of SAP PM with Industry 4.0 technologies such as IoT sensors, AI-based analytics, and real-time notification systems strengthens operational efficiency and ensures continuous performance. Empirical results show improvements in key performance indicators, including a 20-25% reduction in downtime, a 30% reduction in maintenance costs, an increase in asset availability to 97%, an MTBF extension of up to 511 hours, and an OEE rate of 92.1%. These findings highlight the strategic role of digital predictive maintenance in increasing competitiveness and supporting long-term sustainability in manufacturing operations.

This study aims to analyze the effectiveness of preventive maintenance on the Simplex machine at PT. XYZ by applying the Overall Equipment Effectiveness (OEE) method and identifying the primary causes of production losses through the Six Big Losses framework. Preventive maintenance is an important strategy to ensure machine reliability, reduce downtime, and improve production efficiency. OEE is a widely recognized performance measurement tool consisting of three key indicators: Availability, Performance, and Quality. These indicators collectively reflect the overall effectiveness of equipment in supporting the production process. The results of this study indicate that the OEE value of the Simplex machine is 79%, which remains below the world-class benchmark of 85% as recommended by the Japan Institute of Plant Maintenance (JIPM). This finding suggests that the machine’s performance has not yet reached the optimal standard and requires improvement efforts. Further analysis using the Six Big Losses approach reveals that the most significant contributors to reduced machine effectiveness are equipment failure and idling or minor stoppages. These two categories account for the majority of productivity losses, thereby affecting both machine utilization and production output. To further explore the underlying issues, a root cause analysis was conducted using a fishbone diagram, which enabled the identification of several critical factors related to human resources, methods, machines, materials, environment, and measurement systems. Based on this analysis, improvement proposals were developed through the 5W+1H method, providing a systematic strategy to enhance preventive maintenance practices. The recommended actions include scheduling more frequent inspections, improving operator training, upgrading spare parts management, and implementing stricter monitoring of machine performance. In conclusion, this study highlights the importance of continuous preventive maintenance to optimize machine productivity and reduce unplanned downtime. By adopting the proposed improvement strategies, PT. XYZ can increase the effectiveness of its Simplex machine, moving

The development of digital printing technology requires machines with high reliability and efficiency. The AccurioPress 6100 is a widely used digital printing machine that offers a speed of up to 100 pages per minute. However, the machine’s Overall Equipment Effectiveness (OEE) at PT. OctoPrint only ranged from 45% to 53%, which is below the industry standard of 85%. This study identifies the gap in machine efficiency and proposes solutions based on OEE analysis involving Availability, Performance, and Quality indicators. The study adopts a descriptive quantitative method, collecting data through direct observation and interviews over a 14-week period. Preventive maintenance strategies were implemented to improve machine performance. The results showed an increase in OEE to 60–63%, supported by improvements in Mean Time To Failure (MTTF) and reductions in Mean Time To Repair (MTTR).

Optimization of primary and secondary packaging is crucial for the quality and efficiency of drug production. The drug packaging process consists of primary packaging that is in direct contact with the product and secondary packaging that provides additional protection and important information. This study aims to analyze various methods applied in pharmaceutical packaging to assess the effectiveness of Lean Manufacturing (VSM), Single Minute Exchange of Dies (SMED), and Overall Equipment Effectiveness (OEE). This study shows that VSM significantly reduces the time of secondary packaging activities. SMED reduces the lead time of primary packaging analysis by 58.06%. Meanwhile, OEE analysis of primary packaging identified high set-up/adjustment as the main cause of losses. The importance of implementing structured methods to increase productivity, reduce waste, and ensure a more efficient and effective packaging process in the pharmaceutical industry, contributing to improving product quality and safety.

One of the key processes in the production of APAR cylinders is the welding of cylindrical plates, which is carried out using a Longitudinal Welding Cylinder machine and the CO₂ welding method. However, in practice, operators face several challenges, mainly due to the number of process steps that do not significantly contribute to the quantity or quality of the output, resulting in reduced productivity. This study aims to improve the productivity of the welding process through a series of improvements. The methods used include data analysis and root cause identification through the Overall Equipment Effectiveness (OEE) approach and Lean Six Sigma using the DMAIC stages (Define, Measure, Analyze, Improve, Control). Based on the Define stage, the initial OEE value was 67.49%, which is still far below the world-class standard of 85%. In the Measure stage, Pareto analysis revealed that the largest downtime (2,097 minutes or 40%) was caused by cycle time issues. Further analysis showed that activities such as material setup, additional plate placement, and additional plate cutting (totaling 85 seconds) could still be optimized. During the Improve stage, modifications were made, such as eliminating the additional plate cutting process and adding a stopper to ensure accurate welding alignment. These improvements successfully reduced the cycle time from 180 seconds to 120 seconds, thereby decreasing downtime and increasing the OEE value to 76.12%.

Pengelolaan kinerja forklift di Gudang Terminal Peti Kemas Semarang memiliki peran penting dalam keefektifan stripping barang impor Less Container Load (LCL). Tujuan penelitian (1) mengetahui hasil perhitungan nilai rata-rata availability ratio pada kinerja forklift dalam kegiatan stripping di Gudang Terminal Peti Kemas Semarang, (2) mengetahui hasil perhitungan nilai rata-rata performance ratio pada kinerja forklift dalam kegiatan stripping di Gudang Terminal Peti Kemas Semarang, (3) mengetahui hasil perhitungan nilai rata-rata quality ratio pada kinerja forklift dalam kegiatan stripping di Gudang Terminal Peti Kemas Semarang, (4) mengetahui hasil perhitungan nilai rata-rata Overall Equipment Effectiveness (OEE) di Gudang Terminal Peti Kemas Semarang. Metode penelitian yang digunakan adalah metode Overall Equipment Effectiveness (OEE) melalui tahapan-tahapan perhitungan (1) perhitungan data penurunan waktu forklift tahun 2023 (2) perhitungan nilai availability ratio (3) perhitungan nilai performance ratio, (4) perhitungan nilai quality ratio, (5) perhitungan nilai indeks Overall Equipment Effectiveness (OEE). Nilai rata-rata availability ratio adalah -0,1616666 %, dimana standar JIPM > 90 %, sehingga hasil menunjukkan ketersediaan forklift tahun 2023 rendah. Penyebabnya bulan Juni forklift mengalami kerusakan mpu board sehingga menjalani perbaikan selama 720 jam untuk waiting part modul fet fm dan board comp dan bulan Juli forklift mengalami kerusakan mesin forklift sehingga menjalani perbaikan selama 744 jam. Nilai rata-rata performance ratio adalah 106,7925 %, dimana standar JIPM > 95 %, sehingga hasil menunjukkan forklift memiliki kemampuan yang baik dalam pengangkutan produk. Nilai rata-rata quality ratio adalah 100 %, dimana standar JIPM > 99 %, menunjukkan kualitas pengangkutan barang baik. Nilai indeks Overall Equipment Effectiveness (OEE) adalah 9,99483 %, dimana standar JIPM > 85 %, menunjukkan produksi memiliki nilai yang rendah.

Developments in the world of manufacturing industry are increasing, very tight industrial competition is encouraging industry to increase production effectiveness. PT. PAN Brothers is a manufacturing industry located in Boyolali, Central Java. PT. PAN Brothers produces clothing types such as jackets, coats, ski jackets, down jackets, tracksuits, travel pants and so on. During the production process, sewing machines have problems, namely machine damage. This research aims to analyze the effectiveness of sewing machine performance using the Overall Equipment Effectiveness (OEE) method and provide suggestions for improving the results of the Failure Mode and Effect Analysis (FMEA) method. The measurement uses the OEE method with three main components, namely availability rate, performance rate and quality rate to identify types of losses based on the six big losses. The average OEE value of 60% is still below world class standards with factors influencing the low OEE value. namely the performance rate, while the losses that affect the effectiveness value of the performance rate are Idling and minor stoppages losses with a value of 42%. By carrying out root cause analysis using a fishbone diagram, the root causes of low performance values ​​influenced by Idling and minor stoppage losses are known, namely machine factors, human factors, methods, materials and the environment. After identifying the problem and measuring the Risk Priority Number (RPN), suggestions for improvement were obtained including providing training to operators, to implement a preventive maintenance system, adding employees in the line balancing section and adding equipment to support machine repair facilities.      

Every company is obliged to carry out efficiency strategies in every business process in order to continue to exist in today's increasingly fierce competition. This research aims to determine the magnitude of the OEE value and the dominant factors from the six big losses analysis which is used as a proposal for improvements to the cutting machine at PT ABC. The method used is Availability Ratio, Performance Ratio and Rate of Product Quality as basic elements of Overall Equipment Effectiveness and Six Big Losses and analyzed using a fishbone diagram. Calculation results for the period September 2023 to February 2024 obtained an OEE value of 82.58% with the largest contributor to losses being the idling and minor stoppages and Reduce Speed ​​factors. To overcome this, it is necessary to increase skills in identifying and repairing machines, implementing clear standard operating procedures, operator skills in conveying information about machine damage, as well as standard material for parts used by machines.    

The industrial revolution today is not only oriented towards quality results and cutting-edge technology such as the industrial revolution 4.0. Today's industry is developing by implementing the concept of green building or green industry. Green industry is a concept and idea that an industry no longer only takes into account the advantages and benefits for its company, but also needs to pay attention to the level of efficient use of natural resources and energy sources and minimize the impact of the production process which is felt by the surrounding community and has a negative impact on the environment. , PT XYZ is one of the companies engaged in integrated plastic recycling in the world which processes plastic waste into quality and environmentally friendly products. In order to move towards a green building era that applies efficiency and effectiveness standards for a work system, PT XYZ will plan to determine the effectiveness value of a sustainable production line using the Total Productive Maintenance (TPM) theory. To measure the effectiveness value of a sustainable production process in TPM, the OLE (Overall Line Effectiveness) measurement method can be used. OLE is a tool for measuring the effectiveness of the production process, a modification of the OEE tool which is specifically for determining the value of process effectiveness in sustainable production. From the TPM measurement results, a production line effectiveness value using the OLE method was obtained of 91.7% during September 2023.    

Industry is an economic activity that processes raw materials, raw materials, semi-finished goods, and/or finished goods into goods with higher value. Industrial revolution 4.0 is often also called the cyber physical system. PT XY to run its business has a system, namely Management System (MS). MS cannot be separated from information technology to support KPI achievement. One of the information technologies that needs to be applied to the production department is OEE Downtime Details as a Realtime production report. currently has a system that is not yet effective in OEE KPIs, especially in Downtime Details. The method that can be used to complete analysis related to this problem is the Pureshare Method which displays quantitative data to provide motivation and suitability for business and technology goals. The results obtained from this research are that creating a dashboard can increase the effectiveness of data input and the data can be standardized so that the data is more valid. Suggestions for further research require evaluation regarding the development of information that will be presented on the dashboard.

Pelvic inflammatory disease is a reproductive system disorder in women that can be caused by viruses or bacteria. Pelvic inflammatory disease is an inflammatory process of the female genital organs in the pelvic cavity, namely the genital tract consisting of the uterus, fallopian tubes and surrounding areas including the peritoneum. It is caused by Neisseria gonorrhoeeae or Chlamidia trachomatis and may be the organism involved in bacterial vaginosis. Objective: This study aims to describe the risk factors for pelvic inflammatory disease experienced by women of childbearing age. Research methods; This study uses an analytical survey. The population in this study were all cases of GSR who were treated in hospitals. Andi Makkasau, Parepare City with a total of 247 people. The sampling technique was purposive sampling. The method of data collection in this study is secondary data, namely if the desired data collection is obtained from other people or other places and is not carried out by the researcher himself where in this study the researcher records the register number of patients with pelvic inflammation (PRP) obtained from the register book at the GSR treatment room or medical record. Then take the patient's status on the medical record at Andi Makkasau Hospital. After that, take the data and select the complete data based on the specified criteria. The data were analyzed using chi-square. namely if the desired data collection is obtained from other people or other places and is not carried out by the himself where in this study the researcher records the register number of patients with pelvic inflammation (PRP) obtained from the register book at GSR treatment room or medical records. Then take the patient's status on the medical record at Andi Makkasau Hospital. After that, take the data and select the complete data based on the specified criteria. The data were analyzed using chi-square. namely if the desired data collection is obtained from other people or other places and is not carried out by the himself where in this study the researcher records the register number of patients with pelvic inflammation (PRP) obtained from the register book at GSR treatment room or medical records. Then take the patient's status on the medical record at Andi Makkasau Hospital. After that, take the data and select the complete data based on the specified criteria. The data were analyzed using chi-square.