Overall Equipment Effectiveness Value Research Articles

Effort to Improve Overall Equipment Effectiveness Performance with Six Big Losses Analysis in the Packaging Industry PT BMJ

Increasing productivity is very important for companies to gain success in their business processes. This paper describes a case study of a manufacturing company that produces packaging products. PT BMJ is one of the companies engaged in the packaging industry. Low productivity and increased product demand for Offset machines becomes quite an important issue in the company, so that it becomes the objects of this research. Overall Equipment Effectiveness (OEE) is one of the methods that can measure machine effectiveness with three assessment factors, namely: availability, performance, and quality. Measurement of the OEE value and analysis of six big losses are carried out as an effort to increase the OEE value of machines and improve the production system in the company. The root cause of the problem is identified by using a causal diagram to be able to provide several suggestions for improvements. Based on the results comparison of OEE value before and after the implementation of improvement on the Offset machine, these improvements can increase the OEE value by 7.13% in two month implementation. Although the increase in OEE has not yet reached the criteria for World Class OEE, the proposed improvement has been able to reduce six big losses and increase the value of OEE.

Overall Equipment Effectiveness (OEE) Analysis: A Case Study in the PVC Compound Industry

PT. Riken Indonesia is a company engaged in PVC Compound that is specially designed to meet the needs of industrial markets such as automotive construction, household electronic toys, and high quality disposable medical devices. The sample chosen was line 5 The purpose of this study was to analyze the value of OEE including the Availability, Performance rate and quality rate. The method used is Overall Equipment Effectiveness with analysis of Six Big Losses. For the analysis of six big losses to the OEE value, namely the setup & adjustment value of 86.27%, the breakdown value of 9.06%, the idling & minor stop value of 2.67%, and the defect value of 2.01%. Set up & adjustment are the main thing from the problem of six big losses, the biggest setup and adjustment is influenced by cleaning time of 61.61%, startup/shutdown of 37.65%, and adjustment of 0.74%. Based on the analysis, the Availability rate of 76.72%, a performance rate of 84.66%, and a quality rate of 99.89%. The OEE is consists of availability rate, performance rate and quality rate, the OEE value was 64.88%, which means it was below the standard value that is 85%. So it can be said that the engine performance in line 5 PT. Riken Indonesia has not been effective and requires maintenance or continuous improvement.

Improving the overall equipment effectiveness (OEE) on the chicken bowl printing machine by using the theory of change perspective

This article discusses how to improve the overall equipment effectiveness (OEE) of the chicken bowl printing machine. OEE is important to measure machine performance in the production process. OEE will affect the costs incurred during production activities, such as product defects, how effective the performance of machines is, and how much time is available for production. The failure-tags analysis was used to identify the category factors causing engine failure. The why-why analysis was used to identify the root cause of the problem, and the theory of change was used to explain what should be implemented by the company to improve the OEE value. In 2020, only December had a value above standard by 95%, based on the Seiichi Nakajima OEE has a good value if the value >85%. The OEE values From January to May were fell from 73% to 34% and then kept increasing to 73% in November. The increase of the OEE value can be achieved by implementing a communication schedule, monitoring and evaluating the performance of maintenance staff to achieve a fast maintenance machine process, and applying maintenance rules and guidelines.

Implementation of Total Productive Maintenance to Improve Overall Equipment Effectiveness of Linear Accelerator Synergy Platform Cancer Therapy

The Jakarta Government Hospital provides cancer services with several available types of equipment, one of which is the Linear accelerator (LINAC) Synergy Platform (SP) machine. The phenomenon of this machine experiencing a low effectiveness value because it is not able to handle the patient queue so it is not able to reduce the severity of cancer. The purpose of this study was to determine the factors causing the low value of Overall Equipment Effectiveness (OEE) and provide suggestions for improvement to increase the OEE value. The new approach of this research is using the Total Productive Maintenance (TPM) approach with OEE analysis as a success parameter because TPM is more identical in the manufacturing industry. Another update is using Failure Mode and Effect Analysis (FMEA) through Focus Group Discussions (FGD) with experts. The results of the study found that the factors that influenced the low OEE value on the LINAC SP machine were caused by breakdown loss of 76.29%, setup loss of 9.59%, idling and minor stop of 8.80%, and a decrease in speed of 5.29%. The continuous and consistent implementation of the TPM Pillar has increased the OEE value of the LINAC SP machine.

Analisis peningkatan kinerja pemeliharaan mesin dengan Total Productive Maintenance (TPM) pada mesin boiler pabrik kelapa sawit PT.Multi Karya Persada Indonesia Di Kabupaten kapuas Kalimantan Tengah

The implementation of Total Productive Maintenance (TPM) is to improve maintenance performance in the production machine at PT. Multi Karya Persada Indonesia In Kapuas Regency, Central Kalimantan This is descriptive research. The analysis used overall equipment effectiveness (OEE), OEE six big losses, Pareto diagrams, and cause and effect diagrams. As a result of PTPN VI PT. Multi Karya Persada Indonesia In Kapuas Regency, Central Kalimantan had a problem with machine performance value, it was lower than the world-class standard of about 71.85% (≤ 95%). Caused of the low OEE value (65,16%) is high idling and minor stoppages and reduced speed losses value. To improve this problem the company is implementing TPM, with planning 8 TPM pillars as the foundation for implementing TPM.

PREDICTIVE MAINTENANCE IMPLEMENTATION OF AUTOCLAVE REACTOR AGITATOR

Machines are an important factor in the industrial world to produce a product in a company. PT. XYZ is a company engaged in the food industry for sweeteners processed from tapioca flour and corn flour where, through research observations, data is obtained that there are problems that are often faced such as damage to the Agitator Autoclave machine, unavailability of spare parts ( spare parts) needed when there is a breakdown and a breakdown schedule for maintenance workers who have to work overtime. The purpose of this study is to determine the current condition of machine maintenance to reduce damage or failures, the level of machine effectiveness and provide alternative solutions to increase machine effectiveness. The research method used is quantitative using the Overall Equipment Effectiveness (OEE) method, Six Big Losses, Failure Modes and Effects Analysis. The results of the study resulted in an Overall Equipment Effectiveness (OEE) value of 75.07%. The low OEE value on the Agitator Autoclave machine is due to the low performance factor because the engine speed does not match its ideal speed and also the low idle and minor losses in the losses factor caused by frequent breakdowns. Suggestions and suggestions that can be recommended are to periodically evaluate machines and replace old machines.

Performance Improvement on Some Closed Loop Plastic Recycling Plants

Abstract: This research focuses on pertinent parameters to improve the performance of four plastic recycling plants. The method used in this work is the overall equipment effectiveness (OEE) analysis. After assessing data collected and comparing calculated values with global accepted standards, there was need to optimize the OEE value of 74.40% for plant P48mold which was below the universally accepted value of 85% and for plant P72mold which is exactly 85%. Optimization toolbox is used to select values for cycle time ranging between 0.75min and 0.73min to improve the calculated value of 74.40% for plant P48mold and 85% for plant P72mold. Optimizing the OEE values significantly increases production by making the operation cost-effective. The OEE value was obtained by multiplying the three factors of availability rate, performance rate and quality rate and optimized values of 87% for P48 mould and 115% for P72 mould were obtained respectively. The cycle time was used to optimize the performance of both plants, which improved the OEE values. These values proved that change in cycle time can improve OEE. A Pareto principle 80/20 rule was also used to proactively check the effects of the planned and unplanned downtime. Keywords: Throughput, Efficiency, Overall Equipment Effectiveness, Cycle time. Cite the Article: Davids S. O., Sodiki J. I., and Isaac O. E. (2021) Performance Improvement on Some Closed Loop Plastic Recycling Plants. Journal of Newviews in Engineering and Technology (JNET),

Pengukuran dan analisa efektivitas mesin pencetak paving menggunakan metode overall equipment effectiveness (OEE)

Machine effectiveness is one of the important factors in the production process in a manufacturing company to produce goods. The paving molding machine is one of the machines used to produce black paving at PT XYZ. Based on historical data from the Engineering Maintenance Department, this machine has the highest breakdown frequency which has an impact on the low effectiveness and productivity of the machine. To overcome this problem, an analysis of the effectiveness of the paving molding machine was carried out using the Overall Equipment Effectiveness (OEE) method. OEE aims to analyze machine indicators, which consist of machine availability, performance efficiency, and the quality level of the machine's production. The results of the OEE analysis show that the value of the paving molding machine is 68.18% and is still below the Japan Institute of Plant Maintenance standard of 85%. Six Big Losses is used to determine the low OEE value arising from the production process, on the paving molding machine. From the results of the analysis, two dominant loss factors have the most influence on the effectiveness of the paving molding machine, namely the high value of reduced speed loss (51.92%) and idling and minor stoppages loss (23.69%). These two dominant loss factors are then analyzed using a fishbone diagram to obtain the root causes and proposed solutions.

Pengukuran Efektivitas Kinerja Excavator pada Pengupasan Overburden (OB) Menggunakan Metode Overall Equipment Effectiveness (OEE): Studi Kasus di Pit 7 PT XYZ Kintap, Kalimantan Selatan

Based on production data of overburden (OB) stripping at Pit 7 PT XYZ in February 2019, productivity of the excavators doesn’t reach the desired target. To find out the potential for increased productivity and effectiveness of using excavators, it’s necessary to do an analysis using the Overall Equipment Effectiveness (OEE) method. OEE is a performance measurement tool that has the ability to identify the root of the problem and it’s causative factors so that improvement efforts are more focused. The parameters used in the calculation of OEE value are: Availability, Utilization, and Productivity Index. Based on the result of data processing, the OEE value were 56,00% for excavator EX2313 and 34,19% for excavator EX2325. This means that the OEE value hasn’t been able to meet the world class standard OEE value in medium category, namely 60%. Improvement are made by reducing lost work time but obstacles can be avoided, so as to increase utilization. The proposed improvement provide increased in the OEE value were 12,73% for excavator EX2313 and 11,61% for excavator EX2325. This shows that the OEE value of PC800 with number EX2313 reaches the world class standard in medium category or productivity can be considered reasonable, namely 68,73%. Meanwhile, the OEE value of PC800 with number EX2325 still doesn’t reach the world class standard in medium category, namely 45,80%.

Implementasi Metode Overall Equipment Effectiveness Berbasis Six Big Losses Guna Mengevaluasi Efektivitas Mesin Packing Semen

Integrated maintenance management is an important factor in maintaining the stability of machine operations in manufacturing companies. PT AAAA Factory Gresik is a cement manufacturing company, where the Section Division of Gresik Finish Mill Packer Operation has a problem of downtime cement packing machine 40 kg and causes production delay. This study aims to evaluate the effectiveness of the 40kg cement packing machine as well as to calculate losses due to unproductiveness of the packing machine. Overall Equipment Effectiveness (OEE), Six Big Losses, and Failure Mode and Effect Analysis (FMEA) were used as research method. This study found that OEE value for January-December 2019 of 41.25% are considered as lower percentage in compare with the ideal value of international standards which is 85%. Moreover, the largest average losses are found, namely reduce speed losses, idle and stoppages minor losses and defects in process with percentage in following order, 4.49%, 4.49% and 2.76%.Result from FMEA analysis have been identified 3 highest Risk Priority Number (RPN), namely transportation with an RPN value of 294, the second RPN value of 288 is a blockage in the packing machine, finally the engine button is jammed with an RPN value of 252. The proposed improvement scenario is the start of the engine operating operators checking and cleaning machines regularly and the marketing division expands the sales market.

Evaluasi Optimasi Mesin Tonase 650 Ton Injection Molding Menggunakan Metode Overall Equipment Effectiveness Studi Kasus PT. XYZ

Increasing productivity is very important for companies to get success in their buisness processes.There is one example of increasing productivity is to increase production productivity in a company. PT. XYZ has 13 Tonnage Injection Molding machines that operate every day, three of 650 Ton tonnage machines are the oldest and often experience Down Time. Factors that affect the productivity of the 650 ton injection molding tonnage machine are Availability, Performance Rate, and Quality Rate. This study aims to determine the evaluation of optimization and maintenance repair of three 650 tonne tonnage machines. The method we used is to find the value of Overall Equipment Effectiveness, then analyze and breakdown the Down Time data and finally Fishbone analysis to find out the factors causing it. The result of this research is a data value of Overall Equipment Effectiveness for 10 days is 42.71% and the main focus of the factors causing Down Time is the machine factor and packaging loss. With the holding of this research, the researcher hopes to provide a detailed reference for PT. XYZ to make improvements or improvisations related to production productivity in the future.

Analisis Produktivitas Mesin Filling Auto Cup Sealer 1 dengan Metode Overall Equipment Effectiveness pada PT. Prima Kemasindo

The high level of downtime on the ACS 1 filling machine at PT. Prima Kemasindo causes the production process to be not optimal on the machine. The purpose of this study is to identify the maintenance system on the ACS 1 filling machine and measure the productivity level of the ACS 1 filling machine in the period from January to March 2021. This research is applied research using the Overall Equipment Effectiveness (OEE) method. The data used in this study are primary and secondary data obtained from company reports as well as interviews and observations. The results obtained in this study are the Overall Equipment Effectiveness (OEE) value of the ACS 1 filling machine for the period January 98.0%, February 98.5%, March 95.2%, and the average OEE value for the January-March period is 97.2 %. Then from the analysis of Six Big Loses, it is known that the highest loss elements are Idling and Mirror Stoppages and Reduced Speed. Based on the results of the fishbone diagram, it is known that the cause of Idling and Mirror Stoppages and Reduced Speed consists of several factors, namely humans, machines, materials, and methods. Several efforts can be made to increase the effectiveness of the use of machines, namely periodic replacement of machine maintenance, periodic operator training, and training on operator self-awareness, the importance of supervision, and operators must always supervise machine parts.

Application of The Overall Equipment Effectiveness (OEE) Method in Increasing The Efficiency Of Mangel / Crepper Machine

Riau Crumb Rubber Factory (PT. RICRY) is a manufacturing company engaged in processing raw rubber into semi-finished goods. The raw materials used are Ojol and Lump which come from rubber farmers in the Riau area themselves. The products produced consist of two types based on their quality, namely SIR 10 and SIR 20 which will be reprocessed as raw materials for making tires. This product will be exported to various countries such as America, Singapore, South Korea, Australia, Japan, China and so on. This company has a production target of 20,000 tons/year. Based on data in 2014, the company's production only reached 88.33%, which was 17,666.775 tons/year. One of the causes of not achieving the production target was due to problems at the milling station, namely the Mangel/Crepper machine. The large number of raw materials that will go through the milling process causes the Mangel/Crepper machine to operate beyond its capacity. This production process takes place over a long period of time, causing damage to the main engine components such as Bearings, roll grinders, and Dynamo, resulting in Downtime in the production process. Several factors cause problems in the Mangel/Crepper machine, namely human factors, machines, methods, and raw materials. Therefore, the calculation of efficiency on the Mangel/Crepper machine was carried out using the Overall Equipment Effectiveness (OEE) method. It aims to increase production yields. Based on the calculation results, the average Availability Ratio value is 96.512%, the Performance Efficiency Ratio value is 94.835%, the Rate of Quality Product value is 100% and the OEE value of the Mangel/Crepper machine is 91.528%. These values ​​generally meet international standards for each variable. However, the Performance Efficiency Ratio value still does not meet the existing international standards, so it is necessary to make improvements so that the Performance Efficiency Ratio of the Mangel/Crepper machine can reach the international standard values ​​that have been set.

The Calculation Analysis of Total Productive Maintenance (TPM) on the Plumatex FFS894 Machine Using the Overall Equipment Effectiveness (OEE) Method at PT.XYZ Pharmaceutical Company

PT.XYZ is a company engaged in the pharmaceutical sector which is inseparable from problems related to the effectiveness of machines or equipment causes by the effect of Six Big Losses. Therefore, we need effective and efficient steps in the maintenance of machines or equipment to overcome and prevent these problems. Total Productive Maintenance (TPM) is a management principle to increase the productivity and efficiency of the Company's production by using machines effectively. Incorrect handling and maintenance of machines will result in losses which are called Six Big Losses. The first step in the effort to increase production efficiency at PT. XYZ Company is to measure the effectiveness of the Plumatex FFS894 machine using the Overall Equipment Effectiveness (OEE) method which then measures Six Big Losses to find out the amount of efficiency lost in the Six Big Losses factor. With a cause and effect diagram can analyze the actual problem which is the main cause of the high losses resulting in the low effectiveness of the Plumatex FFS894 machine. The conclusion on the Plumatex FFS894 machine is that the OEE value for the period of August 2020 to January 2021 range from 77.76% to 86.82%, with an average OEE value of 82.73%. So, the Plumatex FFS894 machine has not reached the ideal conditions (≥85%). The factor that made the biggest contribution which result in the low effectiveness of using the Plumatex FFS894 machine which is the main priority for improvement is Reduced Speed ​​Losses with a percentage of 25.76% and Idling and Minor Stoppage Losses with a percentage of 21.09%.

Pengukuran Kinerja Mesin 3 dan Analisis FMEA pada Proses Produksi Resin di PT. XYZ

XYZ Inc. is one of manufacturing companies that produce eco friendly polymer/resin. Five production machines were used to do some production process such as mixing and extracting. Production machine number three often suffered trouble that caused production stop. the purpose of this research is to calculate performace of production machine number three using Overall Equipment Effectiveness (OEE) and analyze the elements that caused failure of production machine number three using Failure Mode and Effect Analysis (FMEA). The data that used in this research was January to December 2019. The result showed that average OEE value is 70,49%, the highest RPN value is 448 on heating process and critical component of production machine number three was heater.

Assessment of overall equipment effectiveness according to OEE methodology

The article discusses the Overall Equipment Effectiveness indicator, the parameters of which are Availability, Performance and Quality are random variables. Mathematical models are described for calculating the probability density of a random value of Overall Equipment Effectiveness, which characterizes the efficiency of equipment use. The relevance of the study is due to the relevance of methods for assessing the effectiveness of equipment and improving production processes in industrial enterprises.

Measurement of the Performance of the Sugar Cane Grinding Machine at the XYZ Sugar Factory

XYZ Sugar Factory is a sugar factory which has problems related to the effectiveness of the machines at the sugar cane milling station. This can be seen in the condition of machines that are outdated and in 2013 the level of machine downtime at milling stations tended to increase and exceeded the standard percentage set by the company for the last 3 months. Measurement of machine performance at this milling station uses the Overall Equipment Effectiveness (OEE) method, which is then carried out by measuring six big losses to determine the amount of efficiency lost. From the six factors, it can be identified which factor of losses has the biggest contribution in influencing the level of machine effectiveness by using the Pareto diagram. The data used were data from 12 May - 10 November 2014. During that period, the availability value was 94.72%, the performance value was 90.31%, and the quality was 96.78%, so that the OEE value was 82.95%, which means has not met the best practice OEE value, which is at least 85%. The main factors that affect the effectiveness of the machine are idling and minor stoppages losses, namely the machine is idle due to the time waiting for the sugarcane to enter and the problem of machines outside the milling station.

OPTIMALISASI PROSES PRODUKSI DENGAN MENGGUNAKAN METODE OVERALL EQUIPMENT EFFECTIVENESS

High equipment maintenance cost in a company is caused by inappropriate improvement. Overall Equipment Effectiveness (OEE) is one of methods that can provide information to identify and clarify the cause of low performance of an equipment, that can solve the problems. This study aims to identify machine productivity, that analyze problems that cause losses. There are three main factors in OEE calculation, namely availability, performance, and quality. The average achievement value of OEE in PT. Arteria Daya Mulia of 74.32% can be concluded that the average value of OEE is still below the standard of Japan Institute of Plan Maintenance (JIPM) of 85% (Nakajima, 1988). Based on the calculation using Six Big Losses, the factor that caused the decreasing effectiveness of the most dominant machine was the Idling and Minor Stoppages factor of 21.54%, so that it was a top priority to make improvements as an initial step in efforts to increase the productivity and efficiency of the netting machine.

Case Study in Increasing Overall Equipment Effectiveness on Progressive Press Machine Using Plan-do-check-act Cycle

Press automotive components manufacturer in Indonesia with the Overall Equipment Effectiveness (OEE) achievement was 60.7%, it was below than world company level as mention in Japanese Institute of Plant Maintenance (JIPM)- Total Productive Maintenance (TPM) standard, the biggest OEE components problem was availability value that achieved 63.3%, then the biggest availability problem was dies preparation time. Using TPM method and Plan-Do-Check-Act (PDCA) cycle with Pareto chart and Fishbone diagram, we succeeded to improve dies setting time within one months. We could increase the availability value from 63.3% became 67.8% and finally OEE value increased from 60.7% became 65.3%.

Analisis Maintenance Produktifitas pada Mesin Steel VMI untuk Menghitung Overall Equipment Effectiveness

Companies engaged in the production of vehicle tires. In the production process, an assessment of the effectiveness of the machine is carried out, especially on the Steel VMI machine, which is carried out by the Industrial Engineering Department. The purpose of this research is to identify the cause of the problem with the low overall Equipment Effectiveness (OEE) value on the Steel VMI machine. In measuring the OEE value on the Steel VMI machine, suggestions are made to increase the low OEE value. Research methods for solving problems by calculating and analyzing the value of availability, value of performance and quality value and determination of six big losses. The results show that the availability value is 84%, the performance value is 71%, the quality value is 100%. Then, the cause of the low OEE value is the Human Error variable. Thus, the results of the measurement of the low OEE value are influenced by the performance value of 71%, while the largest six big loss value in the Equipment Failure losses variable is 1.88%, then the Chokotei / Idling Minor Stoppage variable is 9.1%