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Journal articles on the topic 'OEE (Overall Equipment Effectiveness)'

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Published: 4 June 2021
Last updated: 4 February 2022

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1

Garza-Reyes, Jose Arturo. "From measuring overall equipment effectiveness (OEE) to overall resource effectiveness (ORE)." Journal of Quality in Maintenance Engineering 21, no. 4 (October 12, 2015): 506–27. http://dx.doi.org/10.1108/jqme-03-2014-0014.

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Purpose – Overall equipment effectiveness (OEE) provides a quantitative metric based on the elements availability, performance and quality for measuring the performance effectiveness of individual equipment or entire processes. Although these elements are important, other performance factors such as the efficient use of raw materials and the production environment (e.g. production system, logistics, labour, etc.) in which the equipment or process operates may also have a significant contribution to process performance. The purpose of this paper is to present an alternative measure derived from OEE, overall resource effectiveness (ORE), which considers these factors. Design/methodology/approach – The paper reviews the OEE’s background and explores its limitations. Then, it shows the conceptual and mathematical development of the ORE measure and the formulas used for its calculation. Empirical and simulation-based investigations and applications of ORE are carried out through two cases study for its validation. Findings – The results derived from both the empirical and simulation-based investigations demonstrate that OEE may not be an appropriate measure for some specific processes and that ORE may offer a more complete perspective on and information of key performance indicators. Practical implications – ORE can provide production managers with more complete information concerning the performance of their processes. This will allow them to take better decisions regarding the management and actions needed to improve their processes. Originality/value – This paper presents a novel and alterative approach to measure the performance of manufacturing equipment and processes.
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2

Wiyatno, Tri Ngudi, Muhamad Fatchan, and Andri Firmansyah. "Sistem Informasi Produktifitas Mesin dengn Metode Overall Equipment Effectiveness." Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP) 1, no. 2 (October 20, 2018): 52–60. http://dx.doi.org/10.34012/jutikomp.v1i2.245.

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Pada dunia industri yang semakin kompetitif, maka dibutuhkan adanya dukungan teknologi dalam kegiatan produksi, untuk mengetahui produktifitas kegiatan produksi salah satunya dengan melakukan pengukuran produktifitas mesin produksi, untuk itu maka perlu dilakukan pendekatan multi disipliner yang melibatkan semua usaha, kecakapan, keahlian, modal, teknologi, manajemen, informasi dan sumber-sumber daya lainnya secara terpadu. Salah satu pendekatan dalam meningkatkan produktifitas mesin adalah dengan menerapkan Total Productive Maintenance (TPM) yaitu dengan melakukan pengukuran nilai Overall Equipment Effectiveness (OEE) terhadap mesin produksi sehingga dapat diketahui tingkat produktifitas mesin saat beroperasi. Metode perhitungan OEE berfungsi untuk melihat secara keseluruhan produktifitas mesin saat beroperasi yang mencakup tiga faktor yaitu Availability Rate, Performance Rate dan Rate of Quality. Penelitian ini merancang sistem informasi perhitungan nilai OEE pada unit mesin saat beroperasi yang bertujuan untuk mempermudah mendapatkan informasi terhadap kinerja mesin secara up to date, sehingga diharapkan dengan informasi tersebut perusahaan dapat melakukan perbaikan-perbaikan guna meningkatkan produktifitas mesin secara cepat dan tepat sasaran sehingga dapat memenuhi target produksi yang telah ditetapkan oleh perusahaan. Hasil perancangan sistem informasi OEE ini diterapkan di PT XYZ pada unit mesin Packing dengan mengambil waktu operasi pada bulan September 2018, dari pengambilan data dan pengolahan data kedalam sistem informasi OEE, maka didapat nilai Availability Rate 91,63% , Performance rate 72,61%, Quality rate 98,4% dan OEE 65,48% . Rendahnya nilai OEE mesin packing disebabkan karena Performance mesin tersebut rendah(72,61%) , ini berarti mesin tersebut beroperasi dengan kecepatan dibawah standart.
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3

Choi Ng, Kam, and Kuan Eng Chong. "A Framework for Improving Manufacturing Overall Equipment Effectiveness." International Journal of Engineering & Technology 7, no. 3.13 (July 27, 2018): 149. http://dx.doi.org/10.14419/ijet.v7i3.13.16342.

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Nowadays, manufacturing is getting more and more challenging and complex due to shorter product life cycle, high mixed low volume production situation, low equipment performance and volatile customer demand. To overcome all these detractors and rising demands from all angles, manufacturer needs to be fast and agile, as efficient and as transparent as possible. Productivity is the key factor for company in order to become competitive advantage and securing the organization work place. Due to this strong pressure, it forces company introduce many production programs in order to fight the battle. Production productivity programs such as Total Quality Management (TQM), Zero Defect (ZD) initiative, Next Level of Productivity (NLoP), Lean Manufacturing (LM), total productive maintenance (TPM) and Toyota Production System (TPS) are well-known to many manufacturing industries. OEE topic has become progressively popular and widely used to improve productivity and as a research discussion in operation management. However, OEE framework for previous studies was developed on a piecemeal basis. This paper presents a new and complete conceptual framework that illustrates the most important factors that influence and contribute to OEE improvement. The comprehensive framework is able to provide effective guidance and direction to industry practitioner on how to improve OEE.
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4

Alkhazraji, Huthaifa, Sohaib Khlil, and Zina Alabacy. "Evaluation of overall equipment effectiveness in concrete block manufacturing." Journal of Techniques 1, no. 1 (January 2, 2020): 6–17. http://dx.doi.org/10.51173/jt.v1i1.85.

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Companies are required to integrate a set of critical dimensions in order to measure and evaluate their performance to compete in globally competitive markets. Overall Equipment Effectiveness (OEE) is a quantitative metric, in the context of the total productive maintenance (TPM), attempts to measure and improve the effectiveness of manufacturing operations in three dimensions namely: availability, performance rate and quality rate. This study applies OEE to evaluate and improve the performance of a concrete block manufacturing system at Dler Company in Iraq. The study was conducted in two years of operation during 2016 and 2017. Results from 2016 show that the level of effectiveness was lower than the world class. An improvement in the average value of the OEE for 2017 was recorded, where the OEE value is increased in 2017 to 75% in comparison with its value in 2016 at 67%. It was also found that the reasons for this improvement are due to the enhancement that are made in the availability and quality.
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5

Khawarita, Siregar, Syahputri Khalida, Rahmi M. Sari Anizar, Rizkya Indah, and M. Tambunan Mangara. "Effectiveness of compressor machine by using overall equipment effectiveness (OEE) method." E3S Web of Conferences 73 (2018): 05007. http://dx.doi.org/10.1051/e3sconf/20187305007.

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Overall equipment effectiveness (OEE) is performance measure for machine/equipment effectiveness [1]. The effectiveness of machine/equipment will affect the productivity. PT Y is a company engaged in crude oil and natural gas production. Various obstacles are faced by PT Y in the course of its production, one of which is the problem of the productivity from every production process. Based on historical data from September 2016 - February 2017, the percentage of compressor's breakdown is above 20%. The company wants the upper limit of machines' breakdown only reached 10% for each period of production. Therefore needed improvement through analysis of availability, performance ratio, and rate of quality product. This study also will provide corrective suggestions through the calculation of OEE. The results of the experiment with the calculation of OEE shows that the compressor still working above the standard measurement and researcher suggests to make a preventive maintenance plan.
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6

Ismail, Napsiah, B. T. Hang Tuah Baharudin, Yusaini Musa, and Zulkiflle Leman. "Overall Equipment Effectiveness Improvement through Total Productive Maintenance in Assembly Cell." International Journal of Customer Relationship Marketing and Management 4, no. 1 (January 2013): 13–27. http://dx.doi.org/10.4018/jcrmm.2013010102.

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The Overall Equipment Effectiveness (OEE) is an established method to monitor and improve the effectiveness of manufacturing processes. OEE is frequently used as a key metric in Total Productive Maintenance (TPM) and Lean Manufacturing environment. This paper focuses on the OEE measurement of the assembly line of steering gear in an automotive company (AGR Sdn Bhd) through the implementation of TPM. The average OEE measurement before implementation of TPM is 52.21% which is below the company’s target. The company used reactive maintenance, which is inherently “wasteful and ineffective. After the implementation of TPM, the OEE performance for the assembly department improved to 70.21%. The result shows that machine down time directly influence the OEE. The implementation of TPM enables the company to change their maintenance practices from reactive to proactive. The average availability percentage is 80.34% and performance efficiency average is 87.99%. This has directly contributed to a lower overall OEE performance compared to world standard. The rate of quality is maintained at an average of 99.54%.
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7

Wudhikarn, Ratapol. "Implementation of the overall equipment cost loss (OECL) methodology for comparison with overall equipment effectiveness (OEE)." Journal of Quality in Maintenance Engineering 22, no. 1 (March 14, 2016): 81–93. http://dx.doi.org/10.1108/jqme-12-2011-0001.

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Purpose – The purpose of this paper is to describe the overall equipment cost loss (OECL) methodology and an implementation of this methodology, to compare the outcomes of OECL with those of overall equipment effectiveness (OEE), and finally to identify the benefits offered by this new methodology. Design/methodology/approach – The proposed methodology, OECL, combines six large loss models and a financial model in the performance evaluation of equipment. The six large losses are converted into monetary units. OECL is a new way of evaluating equipment performance that differs from the original OEE methodology and overcomes some of the limitations of OEE. This new methodology can be used to rank problematic machines by accounting for production elements together with finance elements. Findings – The OECL and OEE methodologies rank problematic machines differently. Research limitations/implications – Efforts were made in this research to identify factors affecting OECL outcomes, but it was found that it was not possible to apply OECL to all scenarios. Practical implications – The OECL model can be implemented in a real manufacturing company to help decision-makers better determine the magnitudes of equipment problems and rank problematic pieces of equipment appropriately. Originality/value – This OECL method is able to overcome some of OEE’s weaknesses. It can properly prioritise problematic machines by considering both cost and losses.
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8

Vernando, Vernando, and Indra Hardian Mulyadi. "Sistem Penghitung Nilai Efektivitas Mesin Forming Menggunakan Metode Overall Equipment Effectiveness." Journal of Applied Electrical Engineering 4, no. 2 (December 31, 2020): 34–39. http://dx.doi.org/10.30871/jaee.v4i2.2702.

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Overall Equipment Effectiveness (OEE) adalah metode yang digunakan untuk menghitung nilai efektivitas dari sebuah mesin atau peralatan. Jika nilai OEE ≥ 85%, maka mesin dapat dikatakan efektif. Jika nilai OEE < 85%, maka mesin tidak efektif dan akan dilakukan analisis untuk mencari akar permasalahan, di antaranya menggunakan metode Failure Mode and Effect Analysis (FMEA). Penelitian ini bertujuan membuat sistem penghitung nilai efektivitas mesin forming menggunakan metode OEE. Limit switch dan Arduino UNO digunakan untuk mengambil data output dari mesin, seperti jumlah produksi, total durasi kerja mesin, dan total durasi mesin berhenti. Data diolah menggunakan Microsoft Visual Studio (C#) dan disimpan dalam database sehingga dapat ditampilkan dalam bentuk laporan bulanan menggunakan Crystal Report. Pengujian lapangan sistem ini dilaksanakan untuk menghitung OEE pada mesin die form. Berdasarkan hasil dari pengujian tersebut, sistem penghitung ini berfungsi dengan baik dalam menghitung OEE mesin die form tersebut, yang dalam hal ini berada dalam kisaran 59,05% s.d 97,17% (efektivitas di bawah nilai World class standard).
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9

Hafiz, Khoirul, and Erwin Martianis. "Analisis Overall Equipment Effectiveness (OEE) pada Mesin Caterpillar Type 3512B." SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin 13, no. 2 (December 1, 2019): 87. http://dx.doi.org/10.24853/sintek.13.2.87-96.

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PT. PLN (Persero) ULPLTD Bagan Besar PLTD Bengkalis where the diesel engine is the prime mover. In this case, the role of engine maintenance is needed so that there are no obstacles in the process of distributing community power, especially for Bengkalis Island. Therefore, it is necessary to identify to measure the level of effectiveness of the work of the machine by using the Overall Equipment Effectiveness (OEE) method. Overall Equipment Effectiveness (OEE) is a method of measuring the overall effectiveness of a production machine that involves measuring the level of effectiveness of time, the level of machine performance, and the level of quality of products produced. Measuring the level of work effectiveness of the Caterpillar Type 3512B engine with the Overall Equipment Effectiveness (OEE) method at PT. PLN (Persero) ULPLTD Bagan Besar PLTD Bengkalis in the December 2018 - March 2019 period the results obtained do not meet the value of the Word Class Ideal OEE with a percentage value below 85%.
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10

Nursubiyantoro, Eko, Puryani Puryani, and Muhammad Isnaini Rozaq. "IMPLEMENTASI TOTAL PRODUCTIVE MAINTENANCE (TPM) DALAM PENERAPAN OVERALL EQUIPMENT EFFECTIVENESS (OEE)." OPSI 9, no. 01 (June 1, 2016): 24. http://dx.doi.org/10.31315/opsi.v9i01.2169.

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PT. Adi Satria Abadi bergerak pada industri pembuatan sarung tangan kulit, perusahaan akan mengidentifikasi faktor – faktor yang mempengaruhi keefektifan mesin dan analisis terhadap aktivitas maintenance untuk bahan masukan dalam penerapan Total productive maintenance (TPM). Penelitian bertujuan mengukur tingkat efektivitas peralatan total proses produksi, menentukan faktor penyebab nilai Overall Equipment Effectiveness (OEE) rendah dan mengidentifikasi kerugian/losses yang terjadi, memberikan usulan perbaikan penerapan TPM. Nilai Overall Equipment Effectiveness (OEE) mesin press atom periode Maret 2015 – April antara 45% - 86% masih dibawah standar nilai Overall Equipment Effectiveness (OEE) dengan penyebab oleh performance ratio rendah antara 47% - 88%. Perusahaan dapat mengetahui efektifitas mesin dengan perhitungan tingkat keefektifan peralatan menggunakan Total Productive Maintenance (TPM) berdasarkan nilai Overall Equipment Effectiveness (OEE), sehingga dapat meningkatkan efektivitas peralatan serta mengeliminasi kerugian besar bagi perusahaan yang dikenal dengan six Big losses.
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11

Saleem, Faizan, Salman Nisar, Muhammad Ali Khan, Sohaib Zia Khan, and Mohammad Aslam Sheikh. "Overall equipment effectiveness of tyre curing press: a case study." Journal of Quality in Maintenance Engineering 23, no. 1 (March 13, 2017): 39–56. http://dx.doi.org/10.1108/jqme-06-2015-0021.

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Purpose The purpose of this paper is to formulate a benchmark to increase the tyre curing press production rate while minimizing tyre curing press downtime and maintenance cost with the help of a maintenance management technique based on overall equipment effectiveness (OEE). Design/methodology/approach The methodology is based on determining the OEE of tyre curing press before and after rectifying the causes of failures. The failure mode and effect analysis (FMEA) technique is used to find out the root causes of repetitive failures in tyre curing press by using the risk priority number. Findings A significant change in the value of OEE is observed after rectifying the repetitive failures, which were determined using the FMEA technique. Thus, it is concluded that the OEE and FMEA assist in improving the industrial performance and competitiveness of the production equipment studied. Research limitations/implications This study is limited to determining the OEE of single equipment only, not the whole production system. Manufacturing facilities are dependent on the operating environment; therefore a comparison of two different manufacturing plants based on the OEE value would not be justified. Practical implications This study can be applied in any tyre manufacturing industry in order to take competitive benefits, such as reduction in equipment downtime, increased production and reduction in maintenance cost. Originality/value The angle from which the paper approaches the bottleneck problem in a tyre production line is original for the studied company and shows positives results. It allows the company to apply the same approach in its other production equipment, lines and factories to achieve improvement in industrial performance and competitiveness.
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12

Loughlin, S. "A holistic approach to overall equipment effectiveness (OEE)." Computing and Control Engineering 14, no. 6 (December 1, 2003): 37–42. http://dx.doi.org/10.1049/cce:20030608.

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13

Mousavi-Nasab, Seyed Hadi, Jalal Safari, and Ashkan Hafezalkotob. "Resource allocation based on overall equipment effectiveness using cooperative game." Kybernetes 49, no. 3 (May 30, 2019): 819–34. http://dx.doi.org/10.1108/k-09-2018-0491.

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Purpose Resource allocation has always been a critical problem with significant economic relevance. Many industries allocate the resources based on classical methods such as overall equipment effectiveness (OEE) and data envelopment analysis (DEA). The lack of OEE factors’ weight, how it is defined, analyzed, interpreted and compared in OEE and selection of unrealistic weights, self-appraisal and disability of complete ranking in DEA are challenges that are possible to occur. These defects may result in unfair allocation of the resources. This study aims to overcome the mentioned weaknesses. Design/methodology/approach In this paper, an approach using a set of various DEA models and Nash bargaining solution (NBS) is designed to solve the resource allocation problem based on OEE, among a set of comparable and uniform DMUs (decision-making units) in a fair way. Findings The results show that a unique Pareto optimal allocation solution is obtained by the proposed DEA–NBS model among the DMUs. This allocation is more acceptable for players, because the allocation results are commonly determined by all DMUs rather than a specific one. Furthermore, the rankings achieved by the utilized methods and TOPSIS (technique for order preference by similarity to ideal solution) are compared by Spearman’s rank correlation coefficient to validate the resource allocation plan. The findings indicate that the DEA–NBS method has the best correlation with the TOPSIS approach. Originality/value To the best of authors’ knowledge, no research has considered the use of DEA and NBS with OEE.
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Oechsner, Richard, Markus Pfeffer, Lothar Pfitzner, Harald Binder, Eckhard Müller, and Thomas Vonderstrass. "From overall equipment efficiency (OEE) to overall Fab effectiveness (OFE)." Materials Science in Semiconductor Processing 5, no. 4-5 (August 2002): 333–39. http://dx.doi.org/10.1016/s1369-8001(03)00011-8.

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15

Irfan, Mochamad. "Analisis Overall Equipment Effectiveness untuk Meningkatkan Keefektifan pada Mesin Press." Jurnal Indonesia Sosial Teknologi 2, no. 7 (July 21, 2021): 1173–82. http://dx.doi.org/10.36418/jist.v2i7.194.

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Industri manufaktur khususnya industri otomotif di Indonesia sangat berkembang begitu pesat. Kebijakan suatu perusahaan untuk memenangkan persaingan bisinis sangat dibutuhkannya suatu keefektifan dan effisienan dalam pengelolaan perusahaan. Kebijakan yang di ambil pada PT.XYZ salah satunya adalah meningkatkan kapasitas produksi. Kebijakan ini dilakukan dengan adanya penambahan mesin maupun meningkatan output pada mesin-mesin yang sudah ada. Metode yang digunakan untuk mengukur kinerja mesin pada PT.XYZ salah satunya adalah Overall Equipment Effetiveness (OEE) yang dasari dari Total Productive Maintenance (TPM). Dari hasil perhitungan diperoleh presentase nilai Overall Equipment Effectiveness (OEE) pada bulan Agustus 2019 yaitu sebesar 70%. Nilai yang diperoleh belum mencukupi standar nilai yang sudah ditetapkan pada hasil nilai OEE yang nilainya sebesar 85%. Bila dilihat pada Diagram Pareto untuk faktor Reduce Speed Loss memiliki total time loss terbanyak dan frekuensi kumulatif terendah dari Six Big Losses yang sangat mempengaruhi hasil nilai OEE yang sudah didapat. PT.XYZ harus memberikan pelatihan kepada operator terhadap maintanence mesin tersebut sehingga performance mesin press dapat meningkat, melalukan inpeksi terhadap die dan membuat penjadwalan terkait dalam pemeriksaan die secara rutin, Membuat tim Inspektor khusus agar dapat melakukan inspeksi secara rutin, dan melalukan penyetokan terhadap suku cadang yang krusial
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Edwin, Clarence, and Wan Muhammad Noor Sarbani Daud. "Improving Production System Performance Using Overall Equipment Effectiveness." International Journal of Industrial Management 9 (January 5, 2021): 74–90. http://dx.doi.org/10.15282/ijim.9.0.2021.5957.

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In the competition among organization on the global market, no organization will tolerate losses. Overall Equipment Effectiveness (OEE) overall is a new process in which the efficiency of a system is calculated and complicated manufacturing issues are truly simplified to simple and intuitive knowledge delivery. It thinks about the exceptionally important measures of productivity. An endeavour has been done to measure and analyse existing Overall Equipment Effectiveness (OEE) at company Kirino in hope to reduce unplanned downtime losses on equipment failure and tooling damage to maximize the productivity. The methods used to analyse these various causes were analysis tools and Intelligence Systems. After knowing the causes of various activities that leads to high rates of defects, then recommendations for improvements that could be used by company Kirino were ready to be made using intelligent system as a medium of solution.
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Triana, Novera Elisa, and Uly Amrina. "Menghitung Efektifitas Mesin Laser Cutting Menggunakan Metode Overall Equipment Effectiveness." Jurnal PASTI 13, no. 2 (November 22, 2019): 212. http://dx.doi.org/10.22441/pasti.2019.v13i2.010.

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PT. ZXY merupakan perusahaan yang bergerak dalam produksi alas kaki yang tidak terlepas dari permasalahan efisiensi dan efektivitas pada mesin (peralatan) yang diakibatkan oleh six big losses. Masalah yang terjadi pada mesin laser di departemen cutting kurang optimalnya proses pemotongan komponen alas kaki, oleh karena itu perlu dilakukan langkah-langkah untuk mencegah atau mengatasi masalah tersebut dengan bertujuan untuk mengetahui tingkat efektifitas mesin laser. Tujuan penelitian ini adalah untuk menghitung efektifitas melalui metode Overall Equipment Effectivenes (OEE) yang kemudian dilanjutkan dengan pengukuran OEE pada six big losses untuk mengetahui besarnya efisiensi yang hilang pada ke enam faktor six big losses, selanjutnya diperoleh faktor yang paling tinggi pada six big losses di mesin laser yaitu Equipment Failure Losses sebesar 53,97%. Dengan diagram pareto dan analisa sebab akibat dapat dianalisis masalah sebenarnya yang menjadi penyebab utama rendahnya efektifitas yang mengakibatkan rendahnya produktivitas mesin laser adalah punching head di sebabkan faktor manusia, mesin dan material.Hasil kesimpulan yang dapat diambil pada penelitian mesin laser ini setelah dilakukan perbaikan adalah dengan meningkatkan availability mesin laser dari rata-rata 96,2% menjadi 96,4% berdampak pada meningkatnya OEE dari 91,9% menjadi 92,1%.Kondisi ini sangat ideal (≥85%). Sehingga yang mempengaruhi nilai OEE dan menjadi prioritas utama dengan kontribusi terbesar terjadi pada Equipment Failure Losses dapat diatasi.
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Bengtsson, Marcus. "Using a game-based learning approach in teaching overall equipment effectiveness." Journal of Quality in Maintenance Engineering 26, no. 3 (November 14, 2019): 489–507. http://dx.doi.org/10.1108/jqme-03-2019-0031.

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Purpose The purpose of this paper is to develop a novel training material for the performance indicator overall equipment effectiveness (OEE) in the form of a game-based learning (GBL) approach to be used in Industry and University context. The paper will present the development of the game as well as results from tests of the game with Industry employees and University students. Design/methodology/approach The data that are used in the game have been acquired from real OEE data logs of a reference company. The game has been refined iteratively using feedback from the participants of the tests. Findings The paper presents the game with its components and learning objectives. A comparison of various theoretical factors on GBL and the novel training material is performed and future improvements are suggested. Research limitations/implications The game has been developed based on OEE data logs from only one reference company. Practical implications The training material and specifically the game can be used to train Industrial workers and University students to better envision OEE as a performance indicator. Originality/value Serious games on lean manufacturing have been developed and played for a long time. While some of these games include OEE as an important result parameter, none really demonstrates how it is measured and analyzed.
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Daman, Agus, and Dewi Nusraningrum. "ANALYSIS OF OVERALL EQUIPMENT EFFECTIVENESS (OEE) ON EXCAVATOR HITACHI EX2500-6." Dinasti International Journal of Education Management And Social Science 1, no. 6 (August 22, 2020): 847–55. http://dx.doi.org/10.31933/dijemss.v1i6.463.

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The Mining Industry is one of the pillars of national economic development. In this industry, heavy equipment plays an important role in the coal mining process in Indonesia. By using heavy equipment must be well structured, so that the project can run easily without any obstacles. This research aimed to evaluate the cause of the low-value OEE of the Excavator Hitachi EX2500-6 of EX157 and EX158 units and determine the way to repair so that the equipment performance can be improved. This research uses descriptive quantitative approach with value analysis methods Overall Equipment Effectiveness (OEE). The result of OEE values were analyzed using losses classification method so that the occurrence of loss factors can be found and root cause analysis performance using a causal diagram/fishbone diagram and then make any improvement recommendations that can be done by using 5W1H analysis. Based on the research results, the OEE values of two excavators were calculated and were compared with the benchmark values. The values of OEE were found to be 84% for EX157 units and 68% for EX158 units. The low value of OEE on EX158 caused by unscheduled maintenance time losses amounting to 1188.3 hours. The high of time loss is influenced by trouble on Machine Frame, Structure, Body, and Cab components amounted to 60.9%. The root causes of the losses derived from the availability of external mechanics, the competence of mechanics, the availability of spare parts, and the implementation of condition monitoring was not optimal. While remedial steps can be taken by giving technical training program for mechanics as maintenance practice methodology.
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Hamdy, Muhammad Ihsan. "Analisis Nilai Overall Equipment Effectiveness (OEE) pada Mesin Ripple Mill." Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri 3, no. 1 (June 1, 2017): 53. http://dx.doi.org/10.24014/jti.v3i1.5570.

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PT. Surya Agrolika Reksa II adalah salah satu perusahaan yang bergerak dibidang pengolahan kelapa sawit yang terdiri beberapa stasiun kerja yaitu Stasiun Loading Ramp, Sterilizer, Tippler, Thresser, Screw Press, Klarifikasi dan Kernel. Mesin yang sering mengalami kerusakan dan dilakukan perbaikan pada stasiun kernel adalah mesin Ripple Mill yang berfungsi sebagai mesin pemisah biji (nut). Pengukuran efektifitas mesin Ripple Mill menggunakan metode OEE. Dalam perhitungan, OEE mengukur efektifitas dengan menggunakan tiga sudut pandang untuk mengidentifikasi six big losses (enam kerugian), yaitu Availability Ratio, Performance Effeciency Ratio dan Rate of Quality Product. Berdasarkan hasil pengolahan data nilai OEE mesin Ripple Mill adalah 71,96%. Persentase tersebut belum memenuhi standar Internasional sebesar 85% disebabkan tidak ada nilai OEE yang mencapai atau melebihi 85%. Faktor-faktor dasar penyebab kerusakan atau permasalahan yang ada pada mesin Ripple Mill agar mesin dapat bekerja lebih optimal adalah Material disk samble dan rotor bar yang kurang keras menyebabkan komponen mudah aus ketika terjadi gesekan dengan biji kelapa sawit sehingga dilakukan perawatan berupa pengelasan apabila disk samble dan rotor bar tidak terlalu aus dan diganti apabila sudah terlalu aus dan penundaan produksi yang disebabkan kurangnya bahan baku. Agar nilai Overall Equipment Effectiveness (OEE) mengalami peningkatan Perusahaan disarankan untuk melakukan pemupukan secara menyeluruh pada perkebunan perusahaan. menjaga ketersediaan bahan baku dengan memperbanyak jumlah pemasok. Memberikan pelatihan kepada petani tentang bagaimana cara merawat kelapa sawit yang benar. Melakukan penyiraman kelapa sawit secara rutin untuk memenuhi kebutuhanm air yang diserap kelapa sawit. Menggunakan rotor bar dengan tingkat kekerasan material yang lebih tinggi. Menggunakan disk samble dengan tingkat kekerasan material yang lebih tinggi dan pembersihan mesin dilakukan lebih awal sebelum mesin beroperasi. menggunakan rotor bar dengan tingkat kekerasan material yang lebih tinggi. Menggunakan disk samble dengan tingkat kekerasan material yang lebih tinggi dan pembersihan mesin dilakukan lebih awal sebelum mesin beroperasi.
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Winarno, Heru, and Faqih Ferdiansyah. "ANALISIS EFEKTIFITAS MESIN ROUGHING MILL DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE)." Journal Industrial Manufacturing 3, no. 2 (July 15, 2018): 67. http://dx.doi.org/10.31000/jim.v3i2.854.

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Mesin Roughing Mill merupakan mesin press baja dengan ukuran yang telah di standarkan. Mesin ini dipakai untuk mendapatkan ketebalan baja yang diinginkan.Untuk mendapatkan proses produksi berjalan dengan baik, perusahaan harus melakukan pemeliharaan mesin-mesin yang digunakan. Metode yang digunakan dalam pemeliharaan mesin yakni menggunakan OverallEquipment Effectiveness (OEE). Perhitungan OEE dipengaruhi oleh tiga faktor yaitu Availability Rate, Performance Rate, dan Rate of Quality .Pengambilan data yang digunakan untuk penelitian yaitu data primer dan sekunder. Berdasarkan hasil perhitungan pada mesin roughing mill tahun 2016 semester 1 diperoleh nilai Overall Equipment Evectiveness (OEE) adalah 52.69%. kondisi ini menunjukkan bahwa dalam mencapai target dan dalam pencapaian efektivitas penggunaan mesin roughing mill belum mencapai kondisi yang ideal (≥85%). Dari hasil penelitian ternyata bahwa efektivitas dari mesin roughing mill secara keseluruhan masih memerlukan evaluasi untuk dilakukan perbaikan dalam meningkatkan efektivitas dan produktivitas, khususnya pada permasalahan redeuced speed losses masih membutuhkan tools yang relavan dengan data yang sudah dikumpulkan untuk memudahkan identifikasi permasalahan pada mesin roughing mill. Kata Kunci : Roughing Mill, Overall Equipment Effectiveness (OEE), Availability Rate, Performance Rate, Rate of Quality.
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Fekri Sari, Mahsa, and Soroush Avakh Darestani. "Fuzzy overall equipment effectiveness and line performance measurement using artificial neural network." Journal of Quality in Maintenance Engineering 25, no. 2 (May 7, 2019): 340–54. http://dx.doi.org/10.1108/jqme-12-2017-0085.

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Purpose The overall equipment effectiveness (OEE) is a powerful metric in production as well as one of the methods in evaluating function for measuring productivity in the production process. In the existing method, measuring OEE is based on three main elements consisting availability, performance and quality. The purpose of this paper is to evaluate the recognized metrics of production: OEE and overall line effectiveness (OLE) by using smart systems techniques. Design/methodology/approach In this paper, to improve the calculative methods and productivity with three methods: measuring OEE using Mamdani fuzzy inference systems (FIS), measuring OEE using Sugeno FIS, and measuring OLE using FIS and artificial neural networks (ANNs) are proposed. Findings The proposed methodologies aim to decrease some weaknesses of OEE and OLE methods by exploiting intelligent system techniques, such as FIS and ANNs. In particular, this research will solve the following issues that occur in manual and automatic data gathering. This technique is an effective way of measuring OEE and OLE with regard to different weights of losses as well as difference in the weight of the machines. In addition, it allows the operator’s knowledge to take a part in the measurement using uncertain input and output with implementation of linguistic terms. The presented method is the details and capabilities of those methods in various tested scenarios, and the results have been fully analyzed. Originality/value In relation to other methodologies, it allows the operator’s knowledge to take part in the measurement using uncertain input and output with implementation of linguistic terms. The presented method is the details and capabilities of those methods in various tested scenarios, and the results have been fully analyzed.
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Ng Corrales, Lisbeth del Carmen, María Pilar Lambán, Mario Enrique Hernandez Korner, and Jesús Royo. "Overall Equipment Effectiveness: Systematic Literature Review and Overview of Different Approaches." Applied Sciences 10, no. 18 (September 17, 2020): 6469. http://dx.doi.org/10.3390/app10186469.

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Overall equipment effectiveness (OEE) is a key performance indicator used to measure equipment productivity. The purpose of this study is to review and analyze the evolution of OEE, present modifications made over the original model and identify future development areas. This paper presents a systematic literature review; a structured and transparent study is performed by establishing procedures and criteria that must be followed for selecting relevant evidences and addressing research questions effectively. In a general search, 862 articles were obtained; after eliminating duplicates and applying certain inclusion and exclusion criteria, 186 articles were used for this review. This research presents three principal results: (1) The academic interest in this topic has increased over the last five years and the keywords have evolved from being related to maintenance and production, to being related to lean manufacturing and optimization; (2) A list of authors who have developed models based on OEE has been created; and (3) OEE is an emerging topic in areas such as logistics and services. To the best of our knowledge, no comparable review has been published recently. This research serves as a basis for future relevant studies.
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de Carvalho Gomes, Leonardo, and Ricardo Gonçalves de Faria Corrêa. "Use of Overall Equipment Effectiveness (OEE) in manufacturing cells considering takt time." Revista Gestão da Produção Operações e Sistemas 13, no. 3 (September 1, 2018): 276–94. http://dx.doi.org/10.15675/gepros.v13i3.1960.

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Tsarouhas, Panagiotis. "Improving operation of the croissant production line through overall equipment effectiveness (OEE)." International Journal of Productivity and Performance Management 68, no. 1 (January 14, 2019): 88–108. http://dx.doi.org/10.1108/ijppm-02-2018-0060.

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Purpose Overall equipment effectiveness (OEE) is a metric for estimating equipment effectiveness of the industrial systems. The purpose of this paper is to identify maintenance improvement potentials using an OEE assessment within the croissant production line. Design/methodology/approach The present work is carried out by analyzing the failure and repair data of the line. The failure data cover a period of 15 months. During this period the croissant production line usually operates over the entire day (24 h per day) in three 8-h shifts per day, and pauses at the weekends. Descriptive statistics of the failure and repair data for the line based on scheduled and unscheduled interruptions were carried. Moreover, the actual availability (A), performance efficiency (PE) and quality rate (Q) measures, together with the complete OEE for each working day for the croissant production line, were shown. Findings The main objectives are to understand the operation management of the croissant production line, and to measure the OEE characteristics in precise quantitative terms. OEE analysis can help the company to identify the primary problems concerning the A, PE and Q and acts immediately. Originality/value This paper presents a successful evaluation of OEE which will provide a useful guide to aspects of the production process, which identifies the critical points of the line that require further improvement through effective maintenance strategy (i.e. total productive maintenance). Moreover, the analysis provides a useful perspective and helps managers and engineers make better decisions on how to improve manufacturing productivity and quality.
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Swara, Suluh Elman, Oyong Novareza, and Sherenia Yuanggra Gita. "EVALUASI EFEKTIVITAS LINI PRODUKSI BETON PRA-CETAK MENGGUNAKAN OVERALL EQUIPMENT EFFECTIVENESS (OEE)." Tekmapro : Journal of Industrial Engineering and Management 16, no. 1 (January 31, 2021): 94–105. http://dx.doi.org/10.33005/tekmapro.v16i1.184.

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PT. XYZ merupakan perusahaan industri penghasil beton pra-cetak di Indonesia dan Asia Tenggara yang memiliki 6 lini produksi untuk memproduksi beton pra-cetak. Penelitian ini dilakukan di lini produksi 2 karena memiliki downtime mesin yang tinggi dan defect yang berada diatas 1%. Oleh karena itu, perlu dilakukan pengukuran efektivitas menggunakan Overall Equipment Effectiveness (OEE). Berdasarkan hasil perhitungan, diketahui rata-rata nilai OEE sebesar 38.62% yang menunjukkan efektivitas dari lini produksi 2 masih rendah. Hal tersebut disebabkan oleh waktu siklus yang tidak memperhitungkan loading time, unloading time, dan waktu tunggu material, sehingga perlu melakukan penelitian waktu siklus menggunakan Stopwatch Time Study (STS) pada mesin Overhead Crane 1 (dari total 5 Overhead Crane) dan mesin Cor karena memiliki nilai OEE terendah. Penelitian STS menghasilkan perubahan waktu siklus mesin Overhead Crane menjadi 6,63 menit dan mesin Cor menjadi 10.2 menit sehingga terdapat peningkatan nilai OEE yaitu menjadi 40,8167% untuk mesin Overhead Crane dan 61,6871% untuk mesin Cor.
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Fajrah, Nofriani, and Noviardi Noviardi. "Analisis Performansi Mesin Pre-Turning dengan Metode Overall Equipment Effectiveness pada PT APCB." Jurnal Optimasi Sistem Industri 17, no. 2 (October 30, 2018): 126. http://dx.doi.org/10.25077/josi.v17.n2.p126-134.2018.

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PT APCB is an electronics company that produces electronic device components called Narrow Shaft. The purpose of this study is to evaluate the maintenance activity in a pre-turning machine by measuring the Overall Equipment Effectiveness (OEE) level. The OEE level is obtained based on the Availability, Performance, and Quality Rate of the pre-turning machine maintenance activities. In addition, the purpose of this study is to identify the causes of the ineffectiveness of pre-turning machine maintenance activities and provide improvement suggestions for maintenance effectiveness at PT APCB. Based on the results of the calculation of the OEE value it is known that the PT APCB company still has not reached the world standard of 85%. This shows that the company still has to improve maintenance activities in the pre-turning process. The calculation of OEE value shows that the lowest OEE level in February 2016 was 48.31%, while the highest OEE level in September 2016 was 83.23%. The low performance of the pre-turning machine process was due to the ineffectiveness of maintenance activities which were caused by 14 factors. The primary causal factor with the highest value is the bar feeder problem with the highest request frequency value of 250.
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Bamber, C. J., P. Castka, J. M. Sharp, and Y. Motara. "Cross‐functional team working for overall equipment effectiveness (OEE)." Journal of Quality in Maintenance Engineering 9, no. 3 (September 2003): 223–38. http://dx.doi.org/10.1108/13552510310493684.

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Arturo Garza‐Reyes, Jose, Steve Eldridge, Kevin D. Barber, and Horacio Soriano‐Meier. "Overall equipment effectiveness (OEE) and process capability (PC) measures." International Journal of Quality & Reliability Management 27, no. 1 (January 12, 2010): 48–62. http://dx.doi.org/10.1108/02656711011009308.

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Mitsel, A. A., M. V. Grirorieva, and T. Yu Dunaeva. "Assessment of overall equipment effectiveness according to OEE methodology." Journal of Physics: Conference Series 1889, no. 4 (April 1, 2021): 042002. http://dx.doi.org/10.1088/1742-6596/1889/4/042002.

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Hidayat, Hidayat, Moh Jufriyanto, and Akhmad Wasiur Rizqi. "ANALISIS OVERALL EQUIPMENT EFFECTIVENESS (OEE) PADA MESIN CNC CUTTING." ROTOR 13, no. 2 (November 30, 2020): 61. http://dx.doi.org/10.19184/rotor.v13i2.20674.

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PT PAL Indonesia (Persero) is one of the state-owned industries and manufactures engaged in the maritime sector. This company has production equipment complete enough to carry out its production of ship components. There is a problem in this machine, it can be seen by the frequency of damage that occurs to machines or equipment due to the damage so that the production target is sometimes not achieved. Another consequence caused by damage to machines or equipment is in terms of the quality of the resulting product, where products that do not comply with quality standards will be reprocessed. Increasing production efficiency at this company is to measure the effectiveness of CNC Cutting machines using the OEE (Overall Equipment Effectiveness) method. The results of this study suggest that the company should pay more attention to factors of use of production time, work according to standards, operator knowledge, and maintenance of machines. By paying attention to these factors, it is expected that the company's productivity will increase and the production process will run effectively and efficiently.
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Haming, Puadi, Mahfud Nurnajamuddin, Hamzah Hafied, and Serlin Serang. "Effect of Work Attitude and Total Productive Maintenance on the Overall Equipment Effectiveness and Production Continuity." IRA-International Journal of Management & Social Sciences (ISSN 2455-2267) 7, no. 3 (June 23, 2017): 423. http://dx.doi.org/10.21013/jmss.v7.n3.p3.

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<div><p><em>This study aims to examine and analyze the impact of work attitude, Total Productive Maintenance (TPM) on the Overall Equipment Effectiveness (OEE) and production continuity and the other effect of Work Attitude and Total Productive Maintenance (TPM) on production continuity: The mediating role of Overall Equipment Effectiveness (OEE). The research was conducted at PT. Semen Tonasa i.e. units II to V unit which is the largest cement producer in eastern Indonesia. Withdrawal of respondents did with the criteria that only respondents yang having their respective sectors and who have work experience of at least one year were used as samples. Results of analysis Partial Least Square (PLS) Version 2.0.M3 used in analyzing the contribution of exogenous variables on endogenous variables directly, Sobel Test was used for pushing analyze the contribution of the indirect effect (mediation) whereas importance- performance analysis (IPA) to analogous interpret the relationship loading factor value and the average value. The results of this study provide evidence of work attitude has a positive and significant effect on the overall equipment effectiveness (OEE), total productive maintenance (TPM) has a positive and significant effect on overall equipment effectiveness (OEE), work attitude, total productive maintenance (TPM) and overall equipment effectiveness (OEE) positive and significant impact on production continuity.</em></p></div>
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Afif Hakim and Sri Pramono. "ANALISIS PRODUKTIVITAS PROSES PAINTING DENGAN PENDEKATAN METODE OVERALL EQUIPMENT EFFECTIVENESS (STUDI KASUS PT. SAKAE RIKEN INDONESIA)." BUANA ILMU 4, no. 2 (May 1, 2020): 86–98. http://dx.doi.org/10.36805/bi.v4i2.1102.

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Pengukuran produktivitas penting dilakukan agar perusahaan dapat mengevaluasi kinerjanya. Salah satu metode pengukuran produktivitas adalah Overall Equipment Effectiveness (OEE). Pengukuran OEE menggunakan 3 rasio yaitu avaibility, performance, quality. Hasil dari perhitungan OEE tahun produksi 2018 sebesar 42,56 %, dilihat dari besarnya OEE tersebut dikategorikan ke dalam kategori 2 (40% - 59%) atau kategori rendah sehingga perlu dilakukan perbaikan sistem karena berpeluang akan menimbulkan kerugian dan daya saing rendah. Penyumbang terbesar rendahnya nilai OEE adalah pada aspek quality, dengan jenis losses yaitu defect losses dengan rasio 44,60%. Usulan perbaikan yang dilakukan adalah dengan menerapkan pendekatan kaizen 5S. Setelah dilakukan perbaikan selama 5 bulan didapatkan hasil perhitungan OEE sebesar 44,10 %. Jika dibandingkan dengan data tahun 2018 dengan nilai OEE 42,56%, maka mengalami kenaikan sebesar 1,54%. Dengan demikian, diharapkan perusahaan dapat terus meningkatkan performa produktivitasnya di masa-masa mendatang. Productivity measurement is important so that companies can calculate their performance. One method of measuring productivity is the Overall Effectiveness of Equipment (OEE). The measurement of OEE uses 3 ratios, namely availability, performance, quality. The results of the OEE calculation for the 2018 production year were 42.56%, the contribution of OEE was categorized into category 2 (40% - 59%) ) or low category so it is necessary to improve the system because it is likely to cause losses and low competitiveness. The biggest contributor to the value of OEE is in the quality aspect, with the type of loss, namely defect losses with a ratio of 44.60%. After 5 months of improvement, the OEE calculation result was 44.10%, compared to the 2018 data with an OEE value of 42.56%, an increase of 1.54%, so the company is expected to continue to improve its productivity performance. in the future.
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Tsarouhas, Panagiotis H. "Overall equipment effectiveness (OEE) evaluation for an automated ice cream production line." International Journal of Productivity and Performance Management 69, no. 5 (November 19, 2019): 1009–32. http://dx.doi.org/10.1108/ijppm-03-2019-0126.

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Purpose As overall equipment effectiveness (OEE) is a metric to estimate equipment effectiveness of production systems, the purpose of this paper is to identify strategic management tools and techniques based on OEE assessment of the ice cream production line. Design/methodology/approach This paper presents the collection and the analysis of data for ice cream production under real working conditions. The data cover a period of eight months. A framework process to improve the OEE of an automated production system was proposed. Six major stoppage losses, i.e. equipment failure, setup and adjustment, idling and minor stoppage, reduced speed, defects in the process, and reduced yield, were examined with the help of Pareto analysis. In addition, the actual availability (A), performance efficiency (PΕ) and quality rate (QR) measures, together with the complete OEE for each working day, week and month of the production line were shown. Findings The main goal of the study is to identify major stoppage losses, in order to examine and improve the overall equipment efficiency (OEE) of the ice cream production line through the application of an adequate management, i.e. TPM approach. Based on the obtained results, maintenance management strategy and production planning have been suggested to improve their maintenance procedures and the productivity as well. Originality/value The proposed method can be applied to each automated production system. The main benefits of this method are the improvement of productivity, quality enhancement of products, the reduction of sudden breakdowns and the cost of maintenance. Moreover, the analysis provides a useful perspective and helps managers/engineers make better decisions on the operations management of the line, and suggestions for improvement were proposed and will be implemented accordingly.
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Szeląg-Sikora, Anna, Joanna Stuglik, Joanna Rorat, and Juraj Maga. "Analysis of performance and the Overall Equipment Effectiveness (OEE) in a manufacturing company." E3S Web of Conferences 132 (2019): 01023. http://dx.doi.org/10.1051/e3sconf/201913201023.

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The Overall Equipment Effectiveness (OEE) has become an index of efficiency in terms of the use of machinery, equipment and production resources. It allows entrepreneurs to learn where to look for modest losses, and can be used to eliminate them. The main purpose of determining the OEE is to confront the theoretical use of machinery with the actual one, using a relationship of three main elements: availability, use and quality. The purpose of the paper is to present the experience of the use of the OEE in optimization of production processes in a production company. The most important factor in analyzing the overall effectiveness index of the equipment is choosing the right method for collecting and processing data. The best-known method is filling in of a worksheet by line employees. An analysis was carried out in a production company, determining the SLE production line performance index and using Pareto analysis results, based on data from May 2014 to June 2015. The bestperforming component of the OEE is quality, the value of which has not dropped below 95% over the period considered.
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Ningrum, Novia Setya, and Ahmad Muhsin. "ANALISIS EFISIENSI DAN EFEKTIVITAS PERFORMANSI LINE MACHINING PROPELLER SHAFT UNTUK PRODUK FLANGE MENGGUNAKAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE)." OPSI 9, no. 2 (December 1, 2016): 109. http://dx.doi.org/10.31315/opsi.v9i2.2167.

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PT Hino Motors Manufacturing Indonesia (HMMI) adalah sebuah perusahaan yang bergerak dalam bidang manufaktur perakitan truk dan bis, perakitan komponen dan ekspor suku cadang. Dalam proses produksi seringkali terjadi gangguan pada mesin atau peralatan yang digunakan, sehingga mengganggu jalannya proses produksi. Departemen machining propeller shaft PT HMMI yang memproduksi produk flange mengharapkan agar mesin yang beroperasi dapat menghasilkan produk sesuai dengan target produksi yang diinginkan. Dalam penelitian ini, akan dilakukan identifikasi efektivitas mesin menggunakan metode Overall Equipment Effectiveness (OEE). OEE adalah metode pengukuran yang digunakan untuk menentukan performansi suatu mesin atau pelatan guna menjaga mesin atau peralatan tersebut pada kondisi yang baik. Dengan semakin tinggi nilai overall equipment effectiveness (OEE) maka biaya produksi akan lebih rendah namun kualitasnya tetap terjaga. Metode ini tidak memperhitungkan biaya pengoperasian peralatan melainkan menghitung availability, performance efficiency, dan quality rate sebagai indikatornya.Berdasarkan analisis yang telah dilakukan pada line machining propeller shaft untuk produk flange di PT Hino Motors Manufacturing Indonesia dengan menggunakan metode Overall Equipment Effectiveness (OEE), nilai OEE sebesar 81,1% belum memenuhi target standar JIPM sebesar 85%. Rendahnya nilai OEE disebabkan karena downtime mesin sehingga mesin tidak bekerja produktif, waktu terbuang dan tidak menghasilkan produk stabil.
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Yuniaristanto, Yuniaristanto, Iqbal Wahyu Saputra, and Muhammad Hisjam. "Overall Equipment Effectiveness Analysis Using Discrete Event Simulation at Table Tennis Table Manufacturer." Jurnal Optimasi Sistem Industri 19, no. 2 (November 20, 2020): 157. http://dx.doi.org/10.25077/josi.v19.n2.p157-165.2020.

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To measure the performance of the production process, an efficiency calculation is performed using the Overall Equipment Effectiveness (OEE) method. OEE can measure various production losses and identify potential developments that can be carried out in a production process. This research is expected to be an input to improve production efficiency. The results of overall equipment effectiveness are then performed using Discrete Event Simulation, which built using STELLA Architect. The result shows that their overall equipment effectiveness scores are below the company goals, and performance rate is their lowest score. These simulation results are expected to be a basis for improvements in the production division, especially at Table Tennis Table Manufacturer.
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Rahman, Arif, and Surya Perdana. "Perhitungan Produktivitas Mesin Perfect Binding (Yoshino) dengan Menggunakan Metode Overall Equipment Effectiveness (OEE) pada PT. XYZ." STRING (Satuan Tulisan Riset dan Inovasi Teknologi) 3, no. 1 (August 5, 2018): 16. http://dx.doi.org/10.30998/string.v3i1.2723.

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Productivity is an important factor to influence the performance of a company. PT. XYZ is a company engaged in printing business. The object of research is Yoshino inline binding machine in the company. The problems caused by this machine, such as hindered and less than maximum production, downtime, breakdown, and setup and adjustment, result in the decrease in productivity. The purpose of this research is to know the calculation of Overall Equipment Effetiviness (OEE) on Yoshino Machine, to know the difference of calculation result from March to May 2015 period and from March to May 2016 and to know some factors causing the decrease in productivity. This research uses the Overall Equipment Effectiveness (OEE) method. Based on the calculation of Overall Equipment Effetiviness (OEE) on Yoshino Machinery, March-May 2015 period compared to March-May 2016 period, the result in March is of 60.14%, April of 57.92%, and May of 59.92%. In general, OEE achievement increases every month, but not yet reached the World Class OEE criteria. The low value of OEE obtained from the Yoshino Machine is due to four factors: operator’s less knowledge of machine (Human), unstable glue temperature (Engine), late suppliers (Material) and inefficient cutter replacing time (Method).
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Nur, Muhammad. "Analisis Nilai Overall Equipment Effectiveness Pada Mesin Packer Di PT. Semen Padang Unit Produksi Dan Pengantongan Dumai." Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri 3, no. 2 (December 1, 2017): 110. http://dx.doi.org/10.24014/jti.v3i2.5575.

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PT. Semen Padang Unit Produksi dan Pengantongan Dumai merupakan perusahaan manufaktur yang bergerak dalam produksi semen. Tingginya waktu downtime dari mesin packer menyebabkan tidak tercapainya target produksi, tertundanya proses pendistribusian, dan terjadi kegiatan yang non-produktif bagi karyawan. Berdasarkan permasalahan tersebut maka dilakukan perhitungan nilai efektivitas pada mesin packer dengan menggunakan metode Overall Equipment Effectiveness (OEE). Yang bertujuan untuk mengetahui nilai OEE (Overall Equipment Effectiveness) dari mesin packer 1, untuk mengetahui perbandingan nilai OEE mesin packer 1 dengan nilai OEE internasional, dan untuk mengetahui faktor yang menjadi prioritas perbaikan serta akar penyebab permasalahan dan pemecahannya. Berdasarkan hasil pengolahan data maka dapat disimpulkan bahwa nilai OEE mesin packer 1 yaitu sebesar 74,01% yang diperoleh dari nilai availability ratio sebesar 79,86%, performance efficiency ratio sebesar 93,32% dan rate of quality product sebesar 99,19%. Maka diperlukan perbaikan pada mesin packer tersebut terutama pada faktor Availability yang menjadi prioritas perbaikan nilai OEE.
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Rylková, Žaneta, Karel Stelmach, and Petr Vlček. "Overall Equipment Effectiveness within Counterfactual Impact Evaluation Concept." Scientific Annals of Economics and Business 64, s1 (December 1, 2017): 29–40. http://dx.doi.org/10.1515/saeb-2017-0037.

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Abstract Counterfactual impact evaluation (CIE) is a scientific quantitative approach mainly based on experiments and quasi experiments. CIE is trying to prove a causal relationship between outputs and outcomes. CIE does not take into account coherence of external incentives of companies with internal incentives that have or may have an impact on the behaviour of enterprises. The paper sets up internal evaluation indicators for businesses, counterfactuals useful for creating a more complex metrics evaluating businesses in the area of performance. The aim of the paper is to present model situation using the elementary principle of counterfactual impact evaluation based on “the Overall Equipment Effectiveness (OEE)”.
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Ahlaq, Ade Mukhlis Shoutul, Dadi Cahyadi, and Firdanis Setyaning Handika. "Analisa Perawatan Mesin Pulper Menggunakan Metode Overall Equipment Effectiveness (OEE)." Jurnal INTECH Teknik Industri Universitas Serang Raya 3, no. 2 (December 28, 2017): 49. http://dx.doi.org/10.30656/intech.v3i2.878.

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This study aims to determine the effectiveness of Pulper machines. The research was conducted using the Overall Equipment Effectiveness method. The research conducted at a company engaged in the Pulp & Paper field. Data collected by interviews and conducting direct observations in the area during February 2017. Based on the research, it can conclude that the Pulley OEE value was obtained by 77.31% with the main factor causing damage was Broken Ragger by 46%. The proposed improvements that can be given to minimize the incidence of broken ragger are training of ragger machine operators regularly, planning maintenance of scheduled ragger machines as well as providing tools to make it easier for operators to repair damaged machines
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42

Risyahadi, S. T., F. Apriliani, and S. Irawan. "Descriptive analysis of Overall Equipment Effectiveness (OEE) in various industry." IPTEK Journal of Proceedings Series, no. 3 (April 13, 2018): 193. http://dx.doi.org/10.12962/j23546026.y2018i3.3728.

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43

Anand, Ravi. "Cloud Computing OEE (Overall Equipment Effectiveness) for Reducing Production Downtime." SAE International Journal of Materials and Manufacturing 6, no. 3 (April 8, 2013): 481–86. http://dx.doi.org/10.4271/2013-01-1324.

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44

Kasim, Nazrul Idzham, Mohd Azam Musa, Akhtar Razul Razali, Noraishah Mohamad Noor, and Wan Ahmad Najmuddin Wan Saidin. "Improvement of Overall Equipment Effectiveness (OEE) through Implementation of Total Productive Maintenance (TPM) in Manufacturing Industries." Applied Mechanics and Materials 761 (May 2015): 180–85. http://dx.doi.org/10.4028/www.scientific.net/amm.761.180.

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Today competitive manufacturing requires innovative approaches in the production management, as well as for customer satisfaction. Production management requires an effective and efficient maintenance management system. One approach to improve the performance of the maintenance system is through the implementation of Total Productive Maintenance (TPM). The key performance index to measure the effectiveness of TPM implementation is Overall Equipment Effectiveness (OEE). The TPM activities will eliminate equipment losses related to availability, performance rate, and quality rate. Hence, the TPM implementation will increase the OEE value. This paper outlines the theories of TPM and OEE. The paper also presents the studies carried out by different authors to show the improvement of OEE through implementation of TPM in manufacturing, such as electronic industry, steel manufacturer, as well as locomotive components manufacturer.
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45

Aprina, Budi. "ANALISA OVERALL RESOURCE EFFECTIVENESS UNTUK MENINGKATKAN DAYA SAING DAN OPERATIONAL EXCELLENCE." JITMI (Jurnal Ilmiah Teknik dan Manajemen Industri) 2, no. 1 (August 30, 2019): 1. http://dx.doi.org/10.32493/jitmi.v2i1.y2019.p1-10.

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Penelitian ini bertujuan untuk dapat merumuskan rancangan atau metode yang diharapkan bisa dipakai untuk meningkatkan produktivitas sehingga mencapai operational excellence. Penelitian dilakukan dengan menggunakan analisa Overall Resource Effectiveness (ORE). ORE ini adalah pengembangan dari metode Overall Equipment Effectiveness. Bila dalam OEE variabel yang dihitung ada tiga variable (Availability, Performance dan Quality), sedangkan untuk ORE ada tujuh variabel (Readiness, Performance, Quality, Availability of Facility, Changeover Efficiency, Availability of Material dan Availability of Manpower). Setelah pengukuran data OEE dan ORE selesai, proses analisa dilakukan dengan proses observasi dan wawancara. Hal ini dilakukan untuk memperdetail hasil pengukuran yang sudah dilakukan. Kemudian setelah itu dibuat kerangka analisa 4M1L dan diaplikasikan dengan diagram sebab akibat (fishbone). Dari rangakaian tersebut maka akan muncul rancangan atau metode untuk meningkatkan produktivitas sehingga terwujud operational excellence. Hasil pengukuran OEE & ORE, secara total nilai OEE dan ORE berada dibawah nilai standar (85%). Rata-rata nilai OEE tahun 2014 73.52% dan tahun 2015 mengalmi penurunan menjadi 69.4%. Sedangkan rata-rata untuk nilai ORE tahun 2014, 80.24 dan tahun 2015 juga turun menjadi 73.38%
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46

Arsyad, Muhammad, Arthur Khalik Razak, Sumardi Mawardi, and Fadli Abdul Azis. "ANALISIS OVERALL EQUIPMENT EFFECTIVENESS (OEE) MESIN PRODUKSI PADA PT. INDOFOOD CBP SUKSES MAKMUR Tbk MAKASSAR." Jurnal Sinergi Jurusan Teknik Mesin 16, no. 1 (May 26, 2019): 10. http://dx.doi.org/10.31963/sinergi.v16i1.1198.

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Dalam dunia industri, efisiensi sangat dibutuhkan untuk mencapaikeuntungan yang setinggi-tingginya. Berbagai cara dilaksanakan untuk mencapaiefisiensi yang diinginkan, termasuk dengan melaksanakan Total ProductiveMaintenance (TPM). Untuk mengetahui sejauh mana efisiensi yang telah dilakukanpada PT. INDOFOOD CBP SUKSES MAKMUR Tbk (divisi noddle – pabrikmakassar), dapat dilakukan dengan menghitung Overall Equipment Effectitiness(OEE). OEE diukur melalui availability, performance efficiency dan rate of qualityproduct, kemudian di rincikan kembali pada analisa six big losses. Dari hasil analisamenunjukkan bahwa PT. INDOFOOD CBP SUKSES MAKMUR Tbk (divisi noddle– pabrik makassar), berada diatas standar global OEE sebesar 85% (Nakajima,1988).
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47

Agung, Ferry Yulius, and Antonius Siahaan. "OVERALL EQUIPMENT EFFECTIVENESS (OEE) THROUGH TOTAL PRODUCTIVE MAINTENANCE (TPM) PRACTICES: A CASE STUDY IN CHEMICAL INDUSTRY." Emerging Markets : Business and Management Studies Journal 7, no. 1 (June 23, 2020): 23–36. http://dx.doi.org/10.33555/ijembm.v7i1.124.

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In present world scenario, when manufacturing companies encounter capacity problems, they immediately look for increasing overtime, number of shifts and purchase new machine and equipment’s. Instead, focus must be on the better utilization of resources and increasing performance of the existing machines, so that there is better equipment performance, reduction in bottlenecks, decrease overall downtime, improve operator performance and minimization of setup time and other major forms of losses thus enabling in decision on the investment of buying new machines. Thus, the aim of this journal is to study the state of Overall Equipment Effectiveness (OEE) through Total Productive Maintenance (TPM) in Chemical Industry. theoretical framework is developed to determine the predominant TPM pillars that influence the OEE. Based on this theoretical framework, a survey methodology is used where questionnaires are sent to 180 respondents in PT.XYZ with the resulting response rate of 100% which is comparable with other studies. Theoutcome of this survey is analyzed using SPSS and the analysis show that the predominant TPM pillars indeed has a considerable impact on the OEE.
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48

Musa, Mohd Azam, Nazrul Idzham Kasim, Akhtar Razul Razali, Mahadzir, and Wan Ahmad Najmuddin Wan Saidin. "Improvement of Overall Equipment Effectiveness (OEE) through Implementation of Autonomous Maintenance in Crankcase Line." Applied Mechanics and Materials 761 (May 2015): 165–69. http://dx.doi.org/10.4028/www.scientific.net/amm.761.165.

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A study on Autonomous Maintenance (AM) implementation was conducted for CNC machine at automotive components manufacturing line in order to identify and measure equipment losses related to availability, performance and quality rate. These values were used to determine the overall equipment effectiveness (OEE) of the manufacturing line before and after AM implementation. The project started with AM team formation before it was continued with 5S activities and fuguai (abnormality) detection and restoration. Kaizen was used for continuous improvement to restore deteriorated parts and components of the machine. Autonomous Maintenance standards such as cleaning, lubricating and inspection were developed. The AM team members consistently followed the operator maintenance standards to ensure that machine is always in good working condition. The OEE results were taken daily after AM implementation and compared with the data before the implementation. The average OEE result shows significant improvement from 65.8% to 80.4% after the AM implementation. However, the result still did not achieve the company’s target. The main reason was because the machine was very old, which almost reaches deterioration stage according to the bath tub curve. Some recommendations are suggested as to push the OEE value closer to the company’s target including a review on other pillars in Total Productive Maintenance (TPM).
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49

Kartika, Hayu, and Candra Setia Bakti. "ANALISA PRODUKTIVITAS SISTEM PERAWATAN MESIN DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE) DI PT.YMN." Jurnal Ilmu Teknik dan Komputer 3, no. 1 (January 14, 2019): 31. http://dx.doi.org/10.22441/jitkom.2020.v3.i1.004.

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Produktivitas adalah suatu hal penting untuk suatu perusahaan agar dapat bersaing di pasar global yang berjalan saat ini. Dalam hal ini PT. YMN. menggunakan sistem Total Productive Maintenance (TPM) untuk meningkatkan produktivitas produksinya yang diukur dengan metode Overall Equipment Effectiveness (OEE). Namun dalam berjalannya sistem ini masih ada beberapa hal yang masih jadi penghambat yang disebut Six Big Losses. Selama periode Januari 2015 sampai Desember 2015, dengan menggunakan perhitungan OEE didapatkan nilai rata-rata 63%, dan dengan Six Big Losses terbesar dari faktor Breakdown Losses sebesar 67%. Dengan diketahuinya penghambat tersebut diharapkan menjadi acuan untuk langkah-langkah perbaikan yang harus dilakukan.
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50

Suliantoro, Hery, Novie Susanto, Heru Prastawa, Iyain Sihombing, and Anita Mustikasari. "PENERAPAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE) DAN FAULT TREE ANALYSIS (FTA) UNTUK MENGUKUR EFEKTIFITAS MESIN RENG." J@ti Undip : Jurnal Teknik Industri 12, no. 2 (July 17, 2017): 105. http://dx.doi.org/10.14710/jati.12.2.105-118.

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Mesin reng digunakan untuk memproduksi atap baja ringan jenis reng V belum sepenuhnya bekerja secara efektif. Hal ini ditunjukkan dengan adanya downtime, penurunan kecepatan produksi mesin, dan produk-produk yang tidak sesuai standard yang telah ditetapkan. Penelitian ini bertujuan untuk mengukur dan mengetahui tingkat efektivitas mesin reng dengan menggunakan metode Overall Equipment Effectiveness (OEE), mengidentifikasi faktor penyebab six big losses dengan menggunakan Fault Tree Analysis (FTA), dan memberikan usulan perbaikan untuk meningkatkan tingkat efektivitas mesin. Dari hasil penelitian, OEE mesin reng mencapai rata-rata 57,55%, dan masih berada di bawah nilai OEE ideal (85%). Usulan perbaikan yang direkomendasikan meliputi eliminasi six big losses, mengembangkan program pemeliharaan, dan memberikan pelatihan untuk meningkatkan kemampuan maintenance dan operasional. Abstract The reng machine, which is used to produce lightweight steel roof with a kind V reng, has not fully worked effectively. This is indicated by the presence of downtime, speed losses, and produce products that are not according to standards that have been determined. This study aims to measure and determine the level of effectiveness of reng machine using Overall Equipment Effectiveness (OEE) method, identify factors that cause six big losses by using Fault Tree Analysis (FTA), and proposes improvements to increase the effectiveness of the machine. The result of research, OEE of reng machine reached an average of 57.55%, and still was below the ideal OEE (85%). Proposed improvements that recommended include the elimination of six big losses, develop a maintenance program, and provide training to improve the ability of maintenance and operations.
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