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Global performance evaluation is the most important in the field of continuous improving of the production process. Overall Equipment Effectiveness is one of the performance evaluation methods that are most common and popular in the production industries. Overall Equipment Effectiveness (OEE) plays a vital role where performance and quality of the product are of importance to the organization. The OEE is intended at minimizing the breakdowns, increasing performance and quality rate and thus improving the effectiveness of the machine/system. The availability rate of the machine, performance rate of the machine and quality rate of the products are considered as main parameters for maximizing the Overall Equipment Effectiveness (OEE) of a manufacturing system. It is found that poor performance rate contributes more than availability rate and quality rate. The objective of this work is to enhance the overall equipment effectiveness (OEE) in a manufacturing company. I. INTRODUCTION Overall Equipment Effectiveness (OEE) is a way to monitor and improve the efficiency of manufacturing process. Developed in the mid 1990's, OEE has become an accepted management tool to measure and evaluate plant floor productivity. OEE is broken down into three measuring metrics of Availability, Performance, and Quality. These metrics help gauge plant's efficiency and effectiveness and categorize these key productivity losses that occur within the manufacturing process [9]. The Downtime losses incudes setup time and adjustment time is reduce using the work study. Work study is the systematic examination of the methods of carrying out activities so as to improve the effective use of resources and to setup standards of performance for the activities being carried out. It is one of the most powerful tools that management can use to improve productivity [3]. There are a number work study techniques such as ergonomics, operations research, work study and time-and motion study to minimise setup and adjustment time to improve Overall Equipment Effectiveness. Maintenance Management is an orderly and systematic approach to planning, organizing, monitoring and evaluating maintenance activities and their costs. A good maintenance management system coupled with knowledgeable and capable maintenance staff can prevent health and safety problems and environmental damage; yield longer asset life with fewer breakdowns; and result in lower operating costs and a higher quality of life [3]. The good performance indices of each work study technique should yield improved productivity, improved quality, improved efficiency, reduced downtime, improved employee Morale, reduced turnover and absenteeism.
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A Review on Improvement in Overall
Equipment Effectiveness
Chetan Patel1, Vivek Deshpande2
1Research Scholar, 2Assistant Professor
Department of Mechanical Engineering, G. H. Patel College of Engineering & Technology ,Vallabh Vidyanagar, Gujarat, India
Abstract— Global performance evaluation is the most important in the field of continuous improving of the production process.
Overall Equipment Effectiveness is one of the performance evaluation methods that are most common and popular in the
production industries. Overall Equipment Effectiveness (OEE) plays a vital role where performance and quality of the product
are of importance to the organization. The OEE is intended at minimizing the breakdowns, increasing performance and quality
rate and thus improving the effectiveness of the machine/system. The availability rate of the machine, performance rate of the
machine and quality rate of the products are considered as main parameters for maximizing the Overall Equipment
Effectiveness (OEE) of a manufacturing system. It is found that poor performance rate contributes more than availability rate
and quality rate. The objective of this work is to enhance the overall equipment effectiveness (OEE) in a manufacturing
company.
Keywords Overall Equipment Effectiveness, Availability, Performance, Quality Rate
I. INTRODUCTION
Overall Equipment Effectiveness (OEE) is a way to monitor and improve the efficiency of manufacturing process. Developed in the
mid 1990’s, OEE has become an accepted management tool to measure and evaluate plant floor productivity. OEE is broken down
into three measuring metrics of Availability, Performance, and Quality. These metrics help gauge plant’s efficiency and
effectiveness and categorize these key productivity losses that occur within the manufacturing process [9].
The Downtime losses incudes setup time and adjustment time is reduce using the work study. Work study is the systematic
examination of the methods of carrying out activities so as to improve the effective use of resources and to set-up standards of
performance for the activities being carried out. It is one of the most powerful tools that management can use to improve
productivity [3]. There are a number work study techniques such as ergonomics, operations research, work study and time-and
motion study to minimise setup and adjustment time to improve Overall Equipment Effectiveness.
Maintenance Management is an orderly and systematic approach to planning, organizing, monitoring and evaluating maintenance
activities and their costs. A good maintenance management system coupled with knowledgeable and capable maintenance staff can
prevent health and safety problems and environmental damage; yield longer asset life with fewer breakdowns; and result in lower
operating costs and a higher quality of life [3].
The good performance indices of each work study technique should yield improved productivity, improved quality, improved
efficiency, reduced downtime, improved employee Morale, reduced turnover and absenteeism.
II. LITERATURE REVIEW
The Overall Equipment Effectiveness is improving using various methodologies like Total Productive maintenance, Work study.
Total Productive Maintenance is using Eight Pillars to improve OEE. The Eight Pillar is Autonomous Maintenance, Focused
Improvement, Planned Maintenance, Quality Maintenance, Training, Office TPM, Safety, Health and Environment, Initial Flow
Control. The Work Study improves setup time and adjustment time. The term ‘work study’ includes method study and work
measurement. Method study being the systematic recording and critical examination of ways of doing things in order to make
improvements whereas work measurement involves application of techniques designed to establish the time for a qualified worker
to carry out a task at a defined rate of working[3].
A. Basic Procedure of method study
There are eight steps involved in performing a complete method study:
1) Select the job or process to be studied.
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2) Record or collect all relevant data about the job or process, using the most suitable data collection techniques so that the data
will be in the most convenient form to be analysed.
3) Examine the recorded facts critically and challenge everything that is done, considering in turn, the purpose of the activity; the
place where it is performed; the sequence in which it is done; the person who is doing it; the means by which it is done.
4) Develop the most economic method, taking into account all the circumstances and drawing as appropriate on various
production management techniques as well as on the contributions of managers, supervisors, workers and other specialists with
whom new approaches should be explored and discussed.
5) Evaluate the results attained by improved method compared with the quantity of work involved and calculate a standard time
for it.
6) Define new method and related time and present it to all those concerned, either verbally or in writing, using demonstrations.
7) Install the new method, training those involved, as an agreed practice with the allotted time of operation.
8) Maintain the new standard practice by monitoring the results and comparing them with the original targets [4].
The Eight steps should be able to improved productivity, improved quality, improved efficiency, reduced downtime, improved
employee morale, reduced turnover and absenteeism time.
Improved maintenance management systems will help to reduce downtimes losses which lead to improve Overall Equipment
Effectiveness.
There are a number work study techniques such as ergonomics, operations research, work study and time-and motion study. All of
them produce the same output if properly implemented – improved productivity [3].
TABLE I
RELATIONSHIP BETWEEN MAINTENANCE AND ERGONOMICS [3]
Maintenance Management principle Benefits of
ergonomics and
Maintenance
management
(intersection)
Ergonomics principle
Scheduled planned maintenance actions Increased
productivity Promotion of effective maintenance work
processes
Enhancing equipment reliability and improving on
plant availability by way of inspecting, testing,
reconditioning a system and replacing worn
components
Increased efficiency Design of effective maintenance work
processes
Inspecting, testing and reconditioning a system at
regular intervals. Inspections, test results and a
reconditioned system will help in producing quality
product.
Improved quality Providing on going feedback and follow-up.
Even with the best up-front planning there
will be unintended results or consequences,
something will vary from the plan hence
deviations from the quality specifications.
Providing feedback as part of follow-up
process is critical to maintain quality within
specified range.
Scheduled equipment restoration tasks and scheduled
discard tasks help reduce stoppage time Reduced downtime Providing competency based
training and design of effective maintenance
processes help to reduce stoppages
Preserving and enhancing Equipment reliability by
replacing worn components before they actually fail.
Employees are motivated if the plant is running
smoothly and reliably
Improved employee
morale Provision of competency based training and
promoting health and wellness. A trained and
healthy employee is well motivated to
execute their duties.
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Enhancement of equipment reliability and plant
availability by way of equipment checks, oil changes,
lubrication, painting, cleaning and adjusting, partial or
complete
overhauls at specified periods
to reduce stoppages. Employees are motivated when
the plant is running and
Good quality product is coming out.
Reduced turnover
and absenteeism Effective work processes, provision of
competency based training and promotion of
health and wellness helps to keep employees
in their work places. Employees feel
motivated to work in well-coordinated and
effective maintenance work processes design
III. OVERALL EQUIPMENT EFFECTIVENESS
Overall Equipment Effectiveness (OEE) is a way to monitor and improve the efficiency in manufacturing process. OEE has become
an accepted management tool to measure and evaluate plant floor productivity. OEE is broken down into three measuring metrics of
Availability, Performance, and Quality. These metrics help gauge to the plant’s efficiency and effectiveness and categorize these
key productivity losses that occur within the manufacturing process [9]. OEE highlights the actual "Hidden capacity" in an
organization. OEE is not an exclusive measure of how well the maintenance department works. The design and installation of
equipment as well as how it is operated and maintained affect the OEE. It measures both efficiency (doing things right) and
effectiveness (doing the right things) with the equipment [17]. OEE is calculated by obtaining the product of availability of the
equipment, performance efficiency of the process and rate of quality products. Thus OEE is a function of the three factors
mentioned below.
Fig. 1 Components of OEE
A. Availability
This can be defined as uptime, i.e. when the equipment is available to operate.
B. Performance
This is the speed at which the manufacturing unit operates as a % term of the capacity of the unit.
C. Quality
This is often referred to as being FPY, which is the First Pass Yield and is the number of good i.e. perfect items that are produced
with no defects.
D. OEE % = Availability X Performance X Quality %
IV. SIX BIG LOSSES
The losses are divided into six major categories, which affect the overall performance of the equipment.
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TABLE 2
SIX BIG LOSSES
Six Big loss
Category OEE Loss
Category Event Examples
Breakdowns Down Time
Loss
Tooling Failures
Unplanned Maintenance
General Breakdowns
Equipment Failure
Setup and
Adjustments Down Time
Loss
Setup/ Changeover
Material Shortages
Operator Shortages
Major Adjustments
Warm-Up Time
Small Stops Speed Loss
Obstructed Product Flow
Component Jams
Miss-feeds
Sensor Blocked
Delivery Blocked
Cleaning/Checking
Reduced Speed Speed Loss
Rough Running
Under Design Capacity
Equipment Wear
Operator Inefficiency
Start-up Rejects Quality Loss
Scrap
Rework
In-Process Damage
In-Process Expiration
In-correct Assembly
Production
Rejects Quality Loss
Scrap
Rework
In-Process Damage
In-Process Expiration
In-correct Assembly
A. The first two losses are known as down time loss and are used to calculate availability of a machine.
B. The third and fourth are speed losses that determine the performance efficiency.
C. The final two losses are considered to be losses due to defects in the products.
D. OEE is measured in terms of these six losses, which are function of availability, performance rate and quality rate of the
machine, production line or factory.
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Fig. 2 Productive and Non Productive Time
A - Availability of the machine. Availability is proportion of time machine is actually available out of time it should be available.
Availability = Production Time ÷ Planned Production Time
Production Time = Planned Production Time – Downtime
Gross available hours for production include 365 days per year, 24 hours per day, and 7 days per week. However this is an ideal
condition. Planned downtime includes vacation, holidays, and not enough loads. Availability losses include equipment failures and
changeovers indicating situations when the line is not running although it is expected to run.
PE - Performance Efficiency. The second category of OEE is performance. The formula can be expressed in this way:
Performance = (Ideal Cycle Time × Number of products processed) ÷ Production Time
Q - Refers to quality rate. Which is percentage of good parts out of total produced. Sometimes called “yield”. Quality losses refer to
the situation when the line is producing, but there are quality losses due to in-progress production and warm up rejects. We can
express a formula for quality like this:
Quality (Yield) = Good Products Processed (Pieces) ÷ Number of products processed
Good Pieces =Number of products processed - Number of products rejected
V. SAMPLE CALCULATION OF OEE
A simple example on how OEE is calculated is shown below.
Shift Length = 8 hours = 480 minutes
Lunch breaks = 30 minutes
Tea breaks = 20 minutes
Total breaks = 50 minutes
Downtime = 10% of shift = 48 minutes
Ideal Run rate = 7000 pieces/minute
Total pieces produced = 24,00,000
Rejected pieces = 48,000
Assure the equipment works only under the supervision of its operator.
OEE % = Availability X Performance X Quality %
A. Availability = Operating Time ÷ Planned Production Time
Operating Time = Planned Production Time – Downtime Loss
Plant operating Time = 8 hours × 60 = 480 minutes
Planned Production Time = 480 – 50 = 430 minutes
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Downtime Loss = 10% of shift length = 480 × 0.10 = 48 minutes
Operating Time = 430 – 48 = 382 minutes
Availability = 382 ÷ 430 = 0.8883
B. Performance = (Total pieces ÷ operating Time) ÷ Ideal run rate
Performance = (24,00,000 ÷ 382) ÷ 7000 = 0.8975
C. Quality = Good pieces ÷ Total pieces
Quality = (24,00,000 – 48,000) ÷ 24,00,000 = 0.98
D. OEE = 0.8883 × 0.8975 × 0.98 = 0.7813
Overall Equipment Effectiveness = 78.1%
VI. WORLD CLASS OEE
World class OEE is a standard which is used to compare the OEE of the firm. The percentage of World Class OEE is given in Table.
TABLE 3
WORLD CLASS OEE LEVEL [17]
OEE Factors OEE world class
A% 90.0
PE% 95.0
Q% 99.9
OEE% 85.0
These values of OEE factors are generally accepted but the values are different for different industries. For Manufacturing, the value
of World Class OEE is 85% but for Paper Industry and Cement Industry, the value is 95% and 80% respectively. The aim of the
firm is to achieve this value of OEE by continuous improvement.
VII. REVIEW OF RESEARCH ARTICLES
A. Ashokkumar A. (2014)
Have suggested in their study, the implementation of overall equipment effectiveness (OEE) at a small enterprise finishing product
specifications according to customer specifications in the developing country of India. OEE is employed as a simple indicator, but it
is still an effective method for analysing the efficiency of a single machine and an integrated system. The case study of OEE was
carried out from set-up stage to full implementation. The management made the decisions by relying on OEE results and its details,
and mandated the elimination of the root causes of breakdown losses and speed losses. Finally, after full implementation, OEE
performances improved by over 75 percentages, since availability rate and performance efficiency were improved over 79
percentages, and quality rate was maintained at the same level.
B. Pavan Kumar Malviya , Prof. Ravi Nagaich (2015)
Have suggested in their study, the implementation of overall equipment effectiveness (OEE) at a small enterprise through TPM
methodology. To be successful and to achieve world class manufacturing, organizations must possess effective maintenance.
Overall Equipment Effectiveness (OEE) quantifies that well working of manufacturing unit and performs relative to its designed
capacity, during the periods when it is scheduled to run frequent machine breakdowns, low plant availability, increased rejection are
a great threat to increase operating cost and lower productivity. Finally the availability of machine has been increased from 69% to
85%, performance from 79% to 98%, quality from 90% to 96% and the OEE of machine increased from 65% to 80%.
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Fig. 3 OEE Before and After Improvement
C. Ramesh C.G, Mohammedasif Mulla (2014)
Have mentioned in their study and they have implemented TPM and 5S techniques to improve the availability, performance and
quality of the machines. Though TPM, 5S technique, design of multi-fixture were focused, the availability and performance were
improved significantly by minimizing the equipment deterioration and failure. After the implementation of TPM, 5S techniques and
design of multi-fixture, the availability of machine has been increased from 67.73% to 70.78%, performance from 60.63% to
63.91% and the OEE of machine increased from 40.08% to 44.41%.
Fig. 4 OEE Before and After Improvement
D. M. VivekPrabhu, R. Karthick, Dr.G. Senthil Kumar (2014)
Have stated that an OEE is an important performance measure for effectiveness of any equipment, careful analysis is required to
know the effect of various components. A excel sheet can be used as simplest tool to measure and monitor true data collection. An
attempt has been done in their study to optimize the OEE by using Genetic Algorithm (GA). Their study indicates that OEE will be
significantly improved if focus is given on performance rate improvement. To achieve the OEE of 84.645%, optimized values are
Availability 90%, Performance Rate95% and Quality Rate 99%.
E. Binoy Boban, Jenson Joseph E (2013)
Have suggested in their study that, presently competition in industry at an all-time high, TPM may be the only thing that stands
between success and total failure for some companies TPM can be adapted to work not only in industrial plants, but also in
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construction, building maintenance, transportation, and in variety of other situations. Employees must be educated and convinced
that TPM is not just another “program of the month” and that management is totally committed to the program and the extended
time frame is necessary for full implementation. If everyone involved in a TPM program does his or her part, a usually high rate of
return compared to resources invested may be expected. TPM success requires strong and active support from management, clear
organizational goals and objectives for TPM implementation.
Fig. 5 OEE Before and After Improvement
F. Amit Kumar Gupta, Dr. R. K. Garg (2012)
Have mentioned in their study the effectiveness and implementation of TPM programme in an automobile manufacturing
organization. Through the case study of implementing TPM in an automobile manufacturing organization, the increase in efficiency
and productivity of machines in terms of Overall Equipment Effectiveness (OEE) are discussed. the Increased OEE of Broaching
machine-1 is 59% to70%, Broaching machine-2 is 60% to 69% , Cylindrical grinder is 53% to 67% and Surface grinder is 50% to
65%.
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
Broaching
machine-1 Broaching
machine-2 Cylindrical
grinder Surface
grinder
Before
After
Fig. 6 OEE Before and After Improvement
VIII. CONCLUSIONS
A. The Key Successful improvement of Overall Equipment Effectiveness (OEE) depends on the elimination of three OEE loss
categories like Downtime Loss, Speed Loss and Quality Loss. The key factors for this implementation are workers involvement
and top management support.
B. To improve productivity it is essential to improve the performance of the manufacturing systems. The desired production output
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is achieved through high equipment availability, which is influenced by equipment reliability and maintainability.
C. Overall equipment Effectiveness (OEE) is not a statistically valid metric, but it has been used widely used over the years.
D. Overall equipment Effectiveness (OEE) does not diagnose a specific reason why a machine is not running as efficiently as
possible, but it helps to categorize the areas for initiating the equipment improvement.
E. Overall Equipment effectiveness (OEE) is a structured continuous improvement process that strives to optimize production
effectiveness by identifying and eliminating losses associated with equipment and production efficiency throughout the
production system life cycle through active team-based involvement of employees across all levels of the operational hierarchy.
REFERENCES
[1] Mr. Ashokkumar.A, “Implementation of overall equipment effectiveness (OEE)”, International Journal of Engineering Trends and Technology (IJETT)
Volume2 issue3 Number 1–Nov2011.
[2] Soniya Parihar, Sanjay Jain, Dr. Lokesh Bajpai, “Calculation of OEE for an Assembly Process”, International Journal of Research in Mechanical Engineering
& Technology, ISSN : 2249-5762 (Online) ISSN : 2249-5770 (Print) IJRMET Vol. 2, Issue 2, July - Dec 2012.
[3] Mutombozana Tapiwa, Mugwindiri Kumbirayi, Chikuku Tauyanashe, “The use of Work Study Techniques in Optimizing Manufacturing Plant Maintenance
Processes: an Investigation into a Fertilizer Manufacturing Company in Zimbabwe”, International Journal of Science and Research (IJSR), India Online ISSN:
2319-7064.
[4] Kanawaty, G (ed) Introduction to work study (fourth edition) Geneva, International Labor Office; 1992.
[5] R. Raguram, “Implementation of Overall Equipment Effectiveness OEE”, Middle-East Journal of Scientific Research, 20 (5): 567-576, 2014 ISSN 1990-9233.
[6] Sowmya K, Chetan N, “A Review on Effective Utilization of Resources Using Overall Equipment Effectiveness by Reducing Six Big Losses”, IJSRSET,
Volume 2, Issue 1, Print ISSN : 2395-1990 ,Online ISSN : 2394-4099 Themed Section: Engineering and Technology, 2016.
[7] M. VivekPrabhu, R. Karthick, Dr.G. Senthil Kumar, “Optimization of Overall Equipment Effectiveness in A Manufacturing System”, International Journal of
Innovative Research in Science, Engineering and Technology, Volume 3, Special Issue 3, March 2014.
[8] Kailash Shree Chandran, “Modern Approach To Overall Equipment Effectiveness (OEE)” Seminar report the University of Kerala.
[9] Praveen Singh sisodiya, Mushtaq Patel, Dr. Vivek Bansod, “A Literature Review on Overall Equipment Effectiveness”, International Journal Of Research In
Aeronautical And Mechanical Engineering, Issn (Online): 2321-3051.
[10] Hemant Singh Rajput, Pratesh Jayaswal, “A Total Productive Maintenance (TPM) Approach to Improve Overall Equipment Efficiency”, International Journal
of Modern Engineering Research (IJMER), Vol.2, Issue.6, Nov-Dec. 2012 pp-4383-4386.
[11] Mohammed Asif Mulla, Ramesh C.G, “Enhancing Overall Equipment Effectiveness of HMC Machines Through TPM and 5S Techniques in a Manufacturing
Company”, International Journal on Mechanical Engineering and Robotics (IJMER), Volume-2, Issue-2, 2014.
[12] Abdul Talib Bon, Lim Ping Ping, Berhanuddin Mohd Salleh and Asri Selamat, “Evaluating total productive maintenance using overall equipment effectiveness:
fundamental study”, Production Management, Elixir Prod. Mgmt. 36 (2011) 3293-3295.
[13] Islam H. Afefy, “Implementation of Total Productive Maintenance and Overall Equipment Effectiveness Evaluation”, International Journal of Mechanical &
Mechatronics Engineering IJMME-IJENS, Vol: 13 No: 01.
[14] Osama Taisir R.Almeanazel, “Total Productive Maintenance Review and Overall Equipment Effectiveness Measurement”, Jordan Journal of Mechanical and
Industrial Engineering, Volume 4, Number 4, September 2010.
[15] Chetan S Sethia, Prof. P. N. Shende, Swapnil S Dange, “A Case Study on Total Productive Maintenance in Rolling Mill”,Journal of Emerging Technologies
and Innovative Research, Volume 1 Issue 5 JETIR (ISSN-2349-5162).
[16] Pavan Kumar Malviya, Prof. Ravi Nagaich, “Enhancing the Overall Equipment Effectiveness through Total Productive Maintenance in SME”, International
Journal of Research in Engineering Technology and Management, ISSN 2347 – 7539, Volume: 03, Issue: 04 | July-2015.
[17] Vivek B Patel, Hemant R Thakkar, “Review Study on Improvement of Overall Equipment Effectiveness through Total Productive Maintenance”, Journal of
Emerging Technologies and Innovative Research (JETIR), Dec 2014 (Volume 1 Issue 7).
[18] Prof. A.Bangar, Hemlata sahu, Jagmohan batham, “Improving Overall Equipment Effectiveness by Implementing Total Productive Maintenance in Auto
Industry”, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 6,
June 2013.
[19] Amit Kumar Gupta, Dr. R. K. Garg, “OEE Improvement by TPM Implementation: A Case Study”, International Journal of IT, Engineering and Applied
Sciences Research, ISSN: 2319-4413 Volume 1, No. 1, October 2012.
[20] Prof. Ravi Ngaich, Pavan Kumar Malviya, “Study and Improvement of Manufacturing performance By Implementation of TPM”, International Journal of
scientific research and management, Volume 3,Issue 7,Pages 3285-3288,2015,ISSN (e): 2321-3418.
[21] Sachin A. Mehta, Mohan S. Futane, Nyaneshwar Manjrekar, “OEE Improvement Through Total Productive maintenance”, International Journal of advance
Research in science and Engineering, Volume 5,Issue 1, ISSN:2319-8354, March 2016.
... OEE is a way in which monitoring and improvement of efficiency of manufacturing process can be carried out (Patel & Deshpande, 2016). It has been introduced in 1988 by Nakajima as a key performance indicator of Total Productive Maintenance (Ng Corrales et al., 2020). ...
... It has been introduced in 1988 by Nakajima as a key performance indicator of Total Productive Maintenance (Ng Corrales et al., 2020). Since the development of this concept, it has been an accepted tool of management for measurement and evaluation of plant's floor productivity (Patel & Deshpande, 2016). OEE is the productivity ratio between real manufacturing and what could be manufactured ideally. ...
... Many companies use OEE as a critical tool, for example, when implementing lean manufacturing philosophies, or when implementing maintenance programs and for the purpose of monitoring actual equipment performance (Ng Corrales et al., 2020). Patel & Deshpande (2016) stated the metrics that measure OEE as availability, performance, and quality. ATS International B.V (2010) and Hendri et al. (2019) defined and mathematically exprssed these factors of OEE as follows: ...
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... The results suggested that the queuing theory increased the productivity and decreased the total cost. In a different paper, Overall Equipment Utilization was investigated and reviewed (Patel & Deshpande, 2016). The concerned metrics are Performance, Availability, and Quality. ...
... Son yıllarda küçük ve orta ölçekli firmalarda ekipman etkinliğinin iyileştirilmesi üzerine olan çalışmalarda farklı sonuçlar elde edilmektedir. Örneğin, tekstil sektöründe deri işleme makinelerinde bulunan TEE değerlerinin üretim öncesinde yapılan iyileştirmeler ile %5 oranında arttırabileceği bulunmuştur (Patel ve Deshpande, 2016). İstanbul'da küçük işletmeli bir ahşap kapı üretim hattında TEE yaklaşımı ekipman iyileştirmesinde kullanılmıştır. ...
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Amaç: Üretim sektöründeki bir firmanın 2018-2019 yılı orjinal verilerinden türetilmiş sıralı ölçekteki Toplam Ekipman Etkinliği (TEE) puanı üzerinde etkili olan değişkenlerin makine öğrenim algoritmaları ile modellenmesi, yorumlanması ve model performanslarının karşılaştırılması çalışmanın temel amacıdır. Yöntem: TEE puanının modellemesinde karar ağaçları (CART, CHAID), lojistik regresyon (LogR) ve yapay sinir ağları (YSA) kullanılmıştır. Kurulan modellerin performans değerleri “duyarlılık”, “seçicilik”, “kesinlik” ve “doğruluk” kriterlerine göre hesaplanmıştır. Modelleri yorumlarken karar ağaçları ve YSA sonuçları için yüzdelerden, LogR için odds oranından yararlanılmıştır. Bulgular: Modellerde TEE puanı üzerinde “saat”, “üretim”, “tecrübe” ve “kayıp metre” değişkenleri incelenmiştir. Performans karşılaştırmasında en iyi sonuç veren algoritmanın sıralı LogR olduğu ve bu modele göre üretimin düşük ve çalışanlarının daha az tecrübeli olduğu firmalarda daha “düşük” TEE puanı elde edilirken, kayıp metresi daha az olan firmalarda daha “yüksek” TEE” puanı alma şanslarının olduğu saptanmıştır. Özgünlük: Literatürde sürekli olarak modellenen TEE puanının kategorik hale getirilerek sınıflar arasındaki farklılığın belirlenmesiyle firmaların kendi konumlarını belirlemesi sağlanmıştır. Böylece firmalar kategorisini belirleyip seçilen modeldeki önemlilik sırasındaki faktörlerini değiştirerek bir üst kategoriye daha hızlı çıkabilecektir. Literatürde kategorik olanTEE puanını makine öğrenim algoritmaları ile çözümleyen modellerin olmaması bu çalışmanın özgünlüğü olarak belirlenmiştir.
... OEE is an effective method for revealing the "hidden capacity" in an organization. However, OEE is not the only metric used to evaluate the maintenance department's performance 73 . The six primary equipment losses are used to determine the OEE. ...
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Selecting the appropriate maintenance type is a challenging task that involves multiple criteria working together. This decision has a significant impact on the organization and its overall market sustainability. The primary categorization of maintenance consists of two main types: corrective maintenance and preventive maintenance. All other classifications are encompassed within these two categories. For instance, preventive maintenance can be further classified as either predictive maintenance or periodic maintenance. Given the importance of this decision, this paper discusses the optimal maintenance type under different conditions. The scale of the business, the cost of machine failure, the effect of machine failure on the production schedule, the effect of machine failure on worker safety and the workplace environment, the availability of spare parts, the lifespan of the machine, and the manufacturing process are some of the factors that are covered in this paper. This paper primarily aims to present a comprehensive literature review concerning the strategic decision-making process for selecting the appropriate maintenance type under varying conditions. Additionally, the paper incorporates various models and visual aids within its content to facilitate and guide the decision-making procedure. Corrective maintenance is usually necessary in the case of small companies, significant impact on business or production plans due to failures, potential risks to public safety, ready availability of spare parts, and when production processes are not interdependent. If these parameters are not met, preventive maintenance can be a better option. Since these circumstances frequently do not occur simultaneously, it is imperative for the business to give them significant consideration.
... La eficiencia global de los equipos busca gestionar los desperdicios para realizar mediciones y estimar la productividad de las operaciones productivas, además es una manera de incrementar la eficiencia en los procesos productivos; esta se divide en tres factores que son los siguientes: disponibilidad, rendimiento y calidad; factores que permiten determinar la eficiencia y eficacia de las operaciones productivas (Patel & Deshpande, 2016). Además, este es un indicador útil que categoriza las mayores perdidas de eficiencia en las operaciones productivas, las clasifica y convierte en indicadores que muestran una manera de encontrar en donde se ocasiona la pérdida o desperdicio (Elvin, Vandana, & Rohit, 2018). ...
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Total Productive Maintenance (TPM) is transforming manufacturing landscapes. This review investigates its impact, revealing how TPM fosters a culture of continuous improvement through employee involvement and proactive maintenance strategies. By analyzing 30 research papers, it unveils the potent link between TPM and increased productivity alongside reduced waste. Highlighting Overall Equipment Effectiveness (OEE) as a crucial metric, the review emphasizes the importance of 5S as a foundational step for successful TPM implementation. With global adoption surging, TPM is solidifying its position as a world-class strategy for achieving peak manufacturing performance." Keywords: Total Productive Maintenance (TPM), OEE, Improve Productivity, 5S.
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Purpose-The purpose of the study is to examine the influence of the Total Quality Management (TQM) practices on the Performance in an electronic manufacturing company in Malaysia. Design/methodology/approach-A close-handed questionnaire was used to collect data from 100 executives. A set of hypotheses arising from a conceptual model of TQM and business performance were tested using partial least squares structural equation modelling (PLS-SEM), and partial least squares multi group analysis (PLS-MGA). Findings-Empirical results revealed that only three variables significantly influence company performance. Employee engagement significantly moderates between TQM and business performance. MGA was employed to examine the magnitude and significance of these results by dividing the sample into two departments, i.e. automotive and parts production. Statistically, there is no significant difference between the coefficient values of two different departments. It further reinforces findings on the impact of TQM on Performance. Practical implications-The data were obtained at a single point in time; it is a cross-sectional study, leading to response biases. This study focuses solely on the electronic manufacturing industry, and its findings may not apply to other industries, such as the service sector. While the data source for TQM dimensions (independent variable) differs from organizational Performance (dependent variable), both variables are quantified using managers' perception data. Originality/value-This research study was conducted during the beginning stage of the COVID-19 pandemic, which provides a unique approach to conducting the study/research.
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This project presents the implementation of overall equipment effectiveness (OEE) at a small enterprise finishing product specifications according to customer specifications in the developing country of India. This company had never established any performance measurement before. Therefore, an appropriate indicator was elaborately selected for the case study and OEE was chosen. OEE is employed as a simple indicator, but it is still an effective method for analyzing the efficiency of a single machine and an integrated machinery system. The case study of OEE was carried out from set-up stage to full implementation. Several processes were carried out to establish the OEE indicator. OEE helped the company identify the primary problems concerning the availability rate and performance efficiency. The management made the decisions by relying on OEE results and its details and mandated the elimination of the root causes of breakdown losses and speed losses. Finally, after full implementation, OEE performances improved by over 75 percentages, since availability rate and performance efficiency were improved over 79 percentages and quality rate was maintained at the same level.
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This project presents the implementation of overall equipment effectiveness (OEE) at a small enterprise finishing product specifications according to customer specifications in the developing country of India. This company had never established any performance measurement before. Therefore, an appropriate indicator was elaborately selected for the case study and OEE was chosen. OEE is employed as a simple indicator, but it is still an effective method for analyzing the efficiency of a single machine and an integrated machinery system. The case study of OEE was carried out from set-up stage to full implementation. Several processes were carried out to establish the OEE indicator. OEE helped the company identify the primary problems concerning the availability rate and performance efficiency. The management made the decisions by relying on OEE results and its details and mandated the elimination of the root causes of breakdown losses and speed losses. Finally, after full implementation, OEE performances improved by over 75 percentages, since availability rate and performance efficiency were improved over 79 percentages and quality rate was maintained at the same level.
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This paper will review the goals and benefits of implementing Total Productive Maintenance, and it will also focusing on calculating the overall equipment effectiveness in one of Steel Company in Jordan, and it also discuss what called the big six losses in any industry (the quality, availability and speed). A case study taken from Steel Company in Jordan, the data taken along fifteen working days and teams formed in period of two months to find out the benefit of formation a multidiscipline team from different department to eliminate any boundaries between the departments and make the maintenance process more effectively, labors on the production line also included in way to adopt the autonomous maintenance operations (daily maintenance). As a result the company achieved 99% in quality factor of overall equipment effectiveness equation and 76% in availability where in performance it got 72%. Set of techniques like Single minute exchange die, computer maintenance management system, and production planning were suggested to the industry after calculating the OEE to improve their maintenance procedures and improve the productivity.
Implementation of overall equipment effectiveness (OEE)
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  • Ashokkumar
Mr. Ashokkumar.A, "Implementation of overall equipment effectiveness (OEE)", International Journal of Engineering Trends and Technology (IJETT) -Volume2 issue3 Number 1-Nov2011.
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Soniya Parihar, Sanjay Jain, Dr. Lokesh Bajpai, "Calculation of OEE for an Assembly Process", International Journal of Research in Mechanical Engineering & Technology, ISSN : 2249-5762 (Online) ISSN : 2249-5770 (Print) IJRMET Vol. 2, Issue 2, July -Dec 2012.
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Mutombozana Tapiwa, Mugwindiri Kumbirayi, Chikuku Tauyanashe, "The use of Work Study Techniques in Optimizing Manufacturing Plant Maintenance Processes: an Investigation into a Fertilizer Manufacturing Company in Zimbabwe", International Journal of Science and Research (IJSR), India Online ISSN: 2319-7064.
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Sowmya K, Chetan N, "A Review on Effective Utilization of Resources Using Overall Equipment Effectiveness by Reducing Six Big Losses", IJSRSET, Volume 2, Issue 1, Print ISSN : 2395-1990,Online ISSN : 2394-4099 Themed Section: Engineering and Technology, 2016.
Optimization of Overall Equipment Effectiveness in A Manufacturing System
  • M Vivekprabhu
  • R Karthick
  • . G Dr
  • Kumar
M. VivekPrabhu, R. Karthick, Dr.G. Senthil Kumar, "Optimization of Overall Equipment Effectiveness in A Manufacturing System", International Journal of Innovative Research in Science, Engineering and Technology, Volume 3, Special Issue 3, March 2014.