Overall equipment effectiveness: a review and development of an integrated improvement framework

Cheah, Chew Keat; Prakash, Joshua; Ong, Kok Seng

doi:10.1504/ijpqm.2020.107240

Cited by 10 publications

(12 citation statements)

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“…Through an international survey study, Binti Aminuddin et al [4] discuss challenges when implementing OEE, including: inadequate training and awareness, lack of resources, lack of support from management, resistance from personnel, lack of focus, lack of experienced personnel, and lack of standardized systems for OEE calculations. Both Badiger et al [5] and Cheah et al [6] have suggested frameworks to support the implementation of OEE.…”

Section: Implications When Implementing Oeementioning

confidence: 99%

“…These include lack of management commitment and engagement, lack of training and awareness, lack of focus, and risk of misunderstanding the measure etc. Also, researchers such as Badiger et al [5] and Cheah et al [6] have pointed out that there is a lack of systematic approaches/frameworks to support and guide implementation efforts of OEE. Further, due to various reasons, OEE as a measure has been modified and developed to better fit contextualized situations and to expand in usability.…”

Section: Introductionmentioning

confidence: 99%

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Misconceptions Within the Use of Overall Equipment Effectiveness – A Theoretical Discussion on Industrial Examples

Bengtsson¹,

Andersson²,

Ekström³

2020

Advances in Transdisciplinary Engineering

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Overall equipment effectiveness (OEE) is a common performance measure used in manufacturing industry to identify and prioritize losses to perform improvement work on in order to increase the effectiveness of equipment. There exist challenges though, both in implementing OEE as well as in running an OEE-program. Some of these challenges include lack of training and awareness, lack of focus, risk of misunderstanding the measure etc. This paper will deal with some of the possible misconceptions within the use of OEE that might arise during implementation or in continuously running an OEE-program. Some of the topics of misconceptions that will be discussed include: no financial issues are taken into consideration; that the factors of availability; performance and quality are not weighted; the connection to productivity is not always clear; the importance of cross-functionality of the measurement and work method; the issue of comparison of OEE results; and last but not least the view on and hunt for world class levels. The paper will discuss these (and some additional ones) theoretically and suggest some counter-actions so that they may be avoided.

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Section: Implications When Implementing Oeementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Misconceptions Within the Use of Overall Equipment Effectiveness – A Theoretical Discussion on Industrial Examples

Bengtsson¹,

Andersson²,

Ekström³

2020

Advances in Transdisciplinary Engineering

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“…The improvement in production and product quality are needed. So, to win the competition, every company must increase the ability to have an efficient process and good product quality (Cheah, Prakash, & Ong, 2020). Improving the quality and productivity is essential for the manufacturing industry to become a winner in global competition (Tobe, Widhiyanuriyawan, & Yuliati, 2018;Reddy, Rao, & Rajyalakshmi, 2016).…”

Section: Introductionmentioning

confidence: 99%

Overall Equipment Effectiveness to Increase Productivity of Injection Molding Machine: A Case Study in Plastic Manufacturing Industry

Sunadi

Purba

Paulina

2021

ComTech

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In line with the unstable market conditions in Indonesia, especially the plastic manufacturing industry, the companies need to be well prepared to survive. There were two research goals. First, it was to find out why the Overall Equipment Effectiveness (OEE) rate at the company did not meet the expected standard. Second, it was to determine what improvement should be made to increase the OEE for the machine. The research applied a case study in one of the plastic manufacturing industries located in Tangerang, Indonesia. It focused on the performance of Toshiba injection molding machine number 42/IS 450 GSW. The analysis was performed by applying Failure Mode and Effect Analysis (FMEA) with support from other tools such as Pareto chart, Cause and Effect Diagram (CED), and six big losses. By following the whole framework of the research, it finds causes of why the OEE does not meet the target. Then, from the results, it can be concluded that the implementation of the methods has a positive impact on the company. The OEE rate increases from an average of 26,43% to 78,87%. It means the OEE rate has achieved the company target of 75%.

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“…Overall equipment effectiveness (OEE) is an off-line metric tool and a TPM pillar that has been commonly implemented in industries to diagnose the failure of equipment/system and thus provide a support for the right decisions (Jain et al , 2014; Nurprihatin et al , 2019; Kumar and Soni, 2015; Cheah et al , 2020). The data acquired by OEE are crucial for monitoring the overall performance of equipment; it shows up many hidden costs such as the costs of downtime, slow production and defect products.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, the manufacturing process is subjected to blind control if the initial OEE analysis is neglected. In the other hand, OEE has many drawbacks; it considers an equal weight for all types of losses regardless of their importance, neglects the bottleneck stoppages in production lines, depends substantially on the quality of collecting data and has different benchmarks and definitions (Da Costa and de Lima, 2002; Aminuddin et al , 2016; Cheah et al , 2020). Furthermore, OEE analysis is limited to study one equipment only and requires modifications to study production lines, plants and large factories (Braglia et al , 2009), even if the OEE-based evaluation is not sufficient (Wudhikarn, 2016; Piran et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

Implementing an integrated maintenance management system for monitoring production lines: a case study for biscuit industry

Amrani

Alhomdi

et al. 2020

JQME

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PurposeThis study provides a unique integrated diagnosis system to investigate the causes of low productivity, profitability, machinery health conditions and wear severity of medium-size biscuit industry assets in Taiz, Yemen.Design/methodology/approachThe evaluation is based on an integrating of the overall equipment effectiveness (OEE) and oil-based maintenance (OBM) approaches. The data are collected using the company's operational records, interviews and observations, while the used lubricating oil samples are also collected from production lines' machineries. Scanning electron microscope (SEM) is used to study the wear debris particle features and wear mechanism. Different other analysis tools such as fishbone, 5 whys and Pareto charts are also used to investigate the root causes and plausible recovery solutions of machinery failures.FindingsThis study demonstrated that a large proportion of machinery failures and production loss are of management concerns. Also, this study inferred that the analysis of wear debris is unique and informative for determining machinery wear severity and useful life. Finally, the current conditions of production lines are clarified and suggestions to use a mixed preventive/predictive maintenance management approach are also elucidated.Originality/valueThis work implemented an integrated OEE/OBM diagnostic maintenance system to investigate the root causes of low productivity and machine failures in real production lines and suggested robust decisions on the maintenance duties.

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Overall equipment effectiveness: a review and development of an integrated improvement framework

Cited by 10 publications

References 0 publications

Misconceptions Within the Use of Overall Equipment Effectiveness – A Theoretical Discussion on Industrial Examples

Misconceptions Within the Use of Overall Equipment Effectiveness – A Theoretical Discussion on Industrial Examples

Overall Equipment Effectiveness to Increase Productivity of Injection Molding Machine: A Case Study in Plastic Manufacturing Industry

Implementing an integrated maintenance management system for monitoring production lines: a case study for biscuit industry

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