Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry

Marinho, Paulo Vinícius Tertuliano; Pimentel, Daniel; Casais, R. B.; Silva, Francisco; Sá, José Carlos; Ferreira, Luı́s Pinto

doi:10.24867/ijiem-2021-4-295

Cited by 14 publications

(9 citation statements)

References 20 publications

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“…The managers and team leaders highlighted the ease of opening labels and the feeling that their requests are no longer forgotten. These results are corroborated by other research [6,7,48] where a better organization of the maintenance service has induced higher levels of productivity due to less time being wasted on waiting by overcoming equipment breakdowns, tasks scheduling, spare-part management, and so on. This tool can also be supported by other Lean tools, such as SMED (Single Minute Exchange of Die) and others.…”

Section: Discussionsupporting

confidence: 81%

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Assessment of the Impact of Lean Tools on the Safety of the Shoemaking Industry

Sá,

Soares,

Dinis-Carvalho

et al. 2023

Safety

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Both the Lean philosophy and occupational safety and health have been widely studied, although this has usually been carried out independently. However, the correlation between Lean and occupational safety and health in the industrial context is still underexplored. Indeed, Lean tools can be applied to ensure the best safety environment for workers in each kind of manufacturing process, and this deserves to be studied. The study described here aims to understand the influence of each of a set of four Lean tools used in an industrial context with a strong manual labor component, seeking to determine the influence of each of these Lean tools on the increase in safety obtained through their application. For this purpose, four Lean tools that are quite commonly applied are selected, taking into account previously presented work that pointed to the positive influence of the application of each of these tools on worker safety: total productive maintenance system, Gemba walk, visual management and Yokoten. This study aims to apply these Lean tools and to analyze their impact on productivity, and then, on the safety of a company selected as a target in order to validate the concept. For this purpose, a new tool is created. In the first instance, the tool analyzes the current state of the productive process and the safety level through the study of the risk levels detected in the plant. In terms of productivity results, a reduction between 7% and 12% in cycle time is achieved in four areas of the plant. The feedback from employees showed increased satisfaction with the processes’ simplification. To conclude, a 50% reduction in the number of work accidents per month is observed as a result of the implementation of Lean tools. The influence of the selected Lean tools on increasing both productivity and safety is clear, and our results prove the selection of tools to be largely adequate.

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Section: Discussionsupporting

confidence: 81%

“…Mello et al [47] state that "research-action is the production of knowledge guided by practice, with the modification of a given reality occurring as part of the research process". Following the procedures used by Marinho et al [48] Mourato et al [49], and Martins [50], the methodology is composed of five phases, as can be seen in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Assessment of the Impact of Lean Tools on the Safety of the Shoemaking Industry

Sá,

Soares,

Dinis-Carvalho

et al. 2023

Safety

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“…A partir de los resultados del análisis bibliométrico, se destaca al mantenimiento autónomo como el pilar más empleado en el sector manufacturero (95%), llegando a considerarse indispensable debido a que busca mejorar directamente la vida útil de los equipos, asegurando que funcione sin interrupciones [2], [4], [5], [7]- [9], [12]- [21], [23]- [25]. El mantenimiento planificado (65%) asegura un mejor rendimiento de las maquinarias en base a las actividades de mantenimiento preventivo, correctivo y predictivo [4], [5], [7], [12], [14], [15], [17], [18], [20], [21], [23]- [25]. Mantenimiento de la calidad (60%) ofrece una reducción de defectos y de costos [1], [4], [5], [16]- [21], [24], [25].…”

Section: Figura 7 Pilares Aplicados En El Sector Manufacturerounclassified

Mantenimiento productivo total en el sector manufacturero. Una revisión sistemática de literatura

Balcázar Hidalgo,

Chávez Romero,

Torres Mirez

2023

Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 202

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This systematic literature review arises from the need to maintain high productivity in manufacturing companies. Its general objective is to identify TPM strategies that increase OEE in the manufacturing sector. The methodology used is quantitative and descriptive, 24 scientific articles of utmost importance for the research were considered, where only articles in English and Spanish were considered, with initial date in 2018. During the analysis of selected articles, it is considered necessary to mention the indicators that are part of the OEE and are related to productivity in the organization. It is also revealed that a large part of the factors affecting productivity in the manufacturing sector are linked to machinery, highlighting the 6 main failures. In turn, autonomous maintenance was considered as an essential pillar of TPM, promoting the participation of all employees from activities that ensure the proper functioning of the machinery. In addition, tools are determined for the identification of problems and to sustain the implementation of the methodology, mentioning the top management as an important role to increase the OEE. Finally, results are shown where the increase of OEE through a correct implementation of TPM is proved.

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“…Adopted by Nakajima (1988), the TPM has the objective to sustain lean production systems and reduce wastes. It was defined as a strategic tool used to manage the equipment and increasing its effectiveness which improves the productivity and the quality of the organisation (Marinhoa et al, 2021). That's why the OEE indicator is considered as the main indicator used to measure the success of the TPM philosophy (Moreira et al, 2018).…”

Section: Total Productive Maintenance (Tpm) Versus Oeementioning

confidence: 99%

Contribution of machine learning in continuous improvement processes

Imane

Aoula

Achouyab

2022

JQME

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PurposeThe aim of this study is to predict one of the key performance indicators used to improve continually production systems using machine learning techniques known by the ability to teach the machine to perform complex things as opposed to simple statistical methods by giving this machine the historical dataset, according to the kind of machine learning the authors will use, the machine will be able to predict a new output data from the input data given by the user.Design/methodology/approachThis work is divided into six sections: In the first section, the state of art for OEE, machine learning, and regression models. In the second section, the methodology, followed by an experimental study conducted in an automotive company specialised in the manufacturing of manual transmissions.FindingsThe three models show a very high accuracy (higher than 99%), a comparison between these three models was done using three indicators, namely mean absolute error (MAE) mean square error (mean squared error and mean absolute percentage error which shows that the best model is the least angle followed by Bayesian Ridge and automatic relevance determination regression.Originality/valueAs the authors can see many works were done in the different production systems for prediction, the most relevant works were done to predict a parameter in the production system such as The prediction of part thickness in aluminium hot stamping process with partition temperature control the prediction of CO2 trapping performance the prediction of crop yield the prediction of lean manufacturing in automotive parts industry the contribution of the work will be to use the machine learning techniques to predict the key performance indicator “used to measure manufacturing efficiency” which is the overall equipment effectiveness used in the authors’ case to measure the improvement of the production system.

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Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry

Cited by 14 publications

References 20 publications

Assessment of the Impact of Lean Tools on the Safety of the Shoemaking Industry

Assessment of the Impact of Lean Tools on the Safety of the Shoemaking Industry

Mantenimiento productivo total en el sector manufacturero. Una revisión sistemática de literatura

Contribution of machine learning in continuous improvement processes

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