Overall Equipment Effectiveness: Required but not Enough—An Analysis Integrating Overall Equipment Effect and Data Envelopment Analysis

Piran, Fábio Sartori; Paris, Alaércio de; Lacerda, Daniel Pacheco; Camargo, Luís Felipe Riehs; Serrano, Rosiane; Cassel, Ricardo Augusto

doi:10.1007/s40171-020-00238-6

Cited by 9 publications

(5 citation statements)

References 45 publications

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“…Для оцінювання ефективності реалізації технологічних процесів на промисловому обладнанні застосовується критерій загальної ефективності обладнання ОЕЕ (Overall Equipment Efficiency). Цей показник використовує дані вимірювань з подальшою математичною обробкою конкретних виробничих параметрів [6]. Вважається, що на сьогодні OEE -найбільш практичний і універсальний інструмент для аналізу, контролю і підвищення загальної ефективності промислового обладнання.…”

Section: аналіз публікаційunclassified

Формування Способів Підвищення Ефективності Застосування 3d-Принтерів Для Комбінованого FDM-Друку З Модифікацією Полімерних Матеріалів

Дудукалов,

Сорокін,

Тернюк

et al. 2024

oikit

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Current manufacturing trends today include additive technologies. The scope of use of industrial technological equipment for 3D-printing is expanding. Printing methods are being improved. New polymer and composite materials with reinforcement are being used. The quality, accuracy and strength of products improves. To assess the effectiveness of the implementation of technological processes in industrial equipment, the OEE (Overall Equipment Efficiency) criterion is used. For industrial 3D printing installations, the OEE indicator includes three component performance criteria: the criterion for realizing the design potential of the target technology workflow; criterion for technological assurance of product strength and quality; criterion for organizational and logistical exclusion of unproductive costs. The work has created a complete set of ways to increase the efficiency of equipment for combined FDM technologies by reducing the cost of operational time for technological and auxiliary transitions, as well as for preparatory actions for modifying polymer materials. Based on this variety of methods, the design of a multifunctional 3D printer for combined FDM technology has been proposed. The technical specifications for the printer provide for: increasing the productivity of 3D printing; ensuring adhesive strength of the connection between the initial layers of polymer material and the desktop; ensuring cohesive strength between layers of polymer material; expansion of technological printing capabilities using additional composite materials. This problem is solved by installing devices on a 3D printer that provide: modification of polymer materials by a pulsed high-frequency electromagnetic field; execution of executive robotic movements in the work cycle; computer control of all subsystems of a combined printing 3D printer using a single control program. The use of the described methods for increasing the efficiency of using 3D printers for combined FDM printing is possible in the production process of a repair and maintenance enterprise, as a set of all functions that ensure the achievement of the operating goal.

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Section: аналіз публікаційunclassified

Формування Способів Підвищення Ефективності Застосування 3d-Принтерів Для Комбінованого FDM-Друку З Модифікацією Полімерних Матеріалів

Дудукалов,

Сорокін,

Тернюк

et al. 2024

oikit

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“…This is made evident when considering the concept of Overall Equipment Efficiency (OEE). OEE is a quantitative metric used by managers to determine and improve performance efficiency (Piran et al, 2020). It is based on an operation's equipment availability, quality and productivity (Singh et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Optimisation of Maintenance Operations Involving Three Integrated Departments at a Local Oil Company in Trinidad

Harrison¹,

Bansee²,

Chowdary³

2022

WIJE

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A simulation case study was conducted to assess the utility of predictive maintenance and database management for lean maintenance applications within a Petroleum Company. At this company the maintenance of pumps was performed internally where feasible. The study explored a proposed lean strategy on the operations of three departments related to the maintenance of pumping equipment. These departments were, the Pump Shop, Stores Department and Shipping and Receiving. Rockwell Automation’s Arena® simulation software was used to study existing and proposed models of the maintenance system and track the key performance indicators of Flow Time, Waiting Time, and Work-in-Process. Analysis of the performance indicators showed a 76% and a 96% reduction in average Flow Time and Waiting Time, respectively. No difference was determined for Work-in-Process at the 95% confidence interval.

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“…As an example, we can cite a study by Piran et al (2020), who propose comparing the efficiency of decisionmaking units (DMUs) based on data envelopment analysis. To this end, they calculated a comprehensive indicator that reflects the efficiency of DMUs in the past.…”

Section: Introductionmentioning

confidence: 99%

Big Data-Driven Assessment of Proposals to Improve Enterprise Flexibility Through Control Options Untested in Practice

Ryabchikov

Ryabchikova

2021

Glob J Flex Syst Manag

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The study discusses how the process information reserves can be used for improving production flexibility on the basis of production component variation control. Building upon the assumption that the data in question describe the functions of the production components as those experience perturbations, we submit that it may be possible to predict the productivity and economic efficiency for new, previously unused control options. We elaborate on the production components that ensure production flexibility, approaching them as a highly autonomous holon. We determine the conditions that make it possible to analyze the holon control options in isolation from controlling all other components. We also suggest a solution to the problem of predicting the employees' impact on production. Our suggestion is based on limiting the types of impact accessible to a human operator. The study looks at the reasons behind the uncertainty of production control simulation modeling results, which stem from the peculiarities of the data collected. We propose a criterion for assessing the impact of uncertainty on the productivity indicators' variation. This study offers a systemic overview of the aspects of a production simulation aimed at assessing the impact of uncertainty on productivity predictions. As an example, we review how uncertainty affects the variation of coke consumption and productivity of a blast furnace, which is ensured by selecting a suitable option for iron ore sinter quality control.

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Overall Equipment Effectiveness: Required but not Enough—An Analysis Integrating Overall Equipment Effect and Data Envelopment Analysis

Cited by 9 publications

References 45 publications

Формування Способів Підвищення Ефективності Застосування 3d-Принтерів Для Комбінованого FDM-Друку З Модифікацією Полімерних Матеріалів

Формування Способів Підвищення Ефективності Застосування 3d-Принтерів Для Комбінованого FDM-Друку З Модифікацією Полімерних Матеріалів

Optimisation of Maintenance Operations Involving Three Integrated Departments at a Local Oil Company in Trinidad

Big Data-Driven Assessment of Proposals to Improve Enterprise Flexibility Through Control Options Untested in Practice

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