Optimization maintenance performance level through collaboration of overall equipment effectiveness and machine reliability

Rahman, Fazlur; Sugiono, Sugiono; Sonief, Achmad As’ad; Novareza, Oyong

doi:10.5937/jaes0-35189

Cited by 3 publications

(3 citation statements)

References 42 publications

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“…The study found that an optimal maintenance time interval can meet the requirements for world-class maintenance performance, achieving an OEE value of 90.43%. Furthermore, the proposed machine reliability based on the FR value was superior to the initial machine reliability [25].…”

Section: The Benefits Of Applying Reliability-centred Maintenance To ...mentioning

confidence: 90%

“…These maintenance intervals are designed to achieve maximum performance in all departments while taking into account the potential for human errors during these activities [24]. Research conducted by Rahman et al, (2022) has confirmed that OEE is linked to increased machine reliability, and maximizing maintenance performance can significantly impact OEE. This approach involves analyzing data to determine the probability distribution of unplanned maintenance events and assessing machine reliability.…”

Section: The Benefits Of Applying Reliability-centred Maintenance To ...mentioning

confidence: 99%

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Application of Overall Equipment Effectiveness for Optimizing Ventilator Reliability in Intensive Care Units and Emergency Departments

Mkalaf

Al-Hadeethi

2023

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Healthcare organizations seek to offer a comprehensive medical services system framework with safety and high quality. This needs continuously developing integrated governance systems that provide safe, reliable, and maintaining high-quality care and value-based care for patients. In addition to improving access to health services in time, increasing efficiencies in providing medical services, reducing the risk-based medical services, and selecting a suitable maintenance policy for maintaining the medical devices. This paper adopted a quantitative analysis method based on Reliability-Based Maintenance (RCM) to comprehensively evaluate the overall medical equipment's effectiveness. RCM is an integrated approach to continuous improvement of the maintenance programs because it can predict early medical equipment failure and determine the mean time between failures. It also assesses the risk level to the patient's life in case of a medical equipment breakdown while provisioning medical services. This study targeted biomedical engineering, intensive care units, and emergency departments at 24 public hospitals in a top 20 OECD country. It selected these departments due to the rise in the rate of patients needing ventilator equipment availability during COVID-19, risk based on the sudden breakdown of the ventilator machines, and increasing the annual budget percentage required to provide medical services, where 239 of the ventilator equipment were investigated. Staff Experience-based Evidence was adopted to collect data by interviewing staff and distributing the survey. The study found that the average OEE for ventilator devices in Intensive Care Units and Emergency Departments was 63%. The device's performance was rated at 65%, while its availability and quality rate were both rated at 100%. These findings suggest that the use of the OEE metric has improved ventilator device reliability and performance in selected hospitals. The OEE metric may have potential benefits for improving the performance of other medical devices as well.

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Section: The Benefits Of Applying Reliability-centred Maintenance To ...mentioning

confidence: 90%

Section: The Benefits Of Applying Reliability-centred Maintenance To ...mentioning

confidence: 99%

Application of Overall Equipment Effectiveness for Optimizing Ventilator Reliability in Intensive Care Units and Emergency Departments

Mkalaf

Al-Hadeethi

2023

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“…In addition to these simple indicators, composite metrics are also used, including OEE (Overall Equipment Effectiveness), which is a combination of Availability, Performance, and Quality [39][40][41]. OEE is a measure of how well a manufacturing process is utilized compared to its full potential in ideal conditions, during the periods when it is scheduled to run.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of a Digital Twin of a Production System for Industry 4.0 with Work-in-Process Synchronization

Kampa

2023

Applied Sciences

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One of the main problems of modern manufacturing systems is the increasing complexity related to modern Industry 4.0 technologies that are fundamentally changing manufacturing and logistics processes and operations. Industry 4.0 includes, e.g., flexible automation and robotization, which make complex manufacturing systems difficult to analyze. Some modeling and simulation methods are being used to solve industrial problems and can serve as an interface between the production level and management level. The new trend of the Digital Twin, creating simulation models as similar as possible to the real system, and a Digital Twin framework for a manufacturing line from the automotive industry, was considered. Simulation models typically start from the empty state and some warmup time is required to achieve the stable state. The Key Performance Indicators were also analyzed for the stable state. However, there are many stochastic parameters such as machinery failures, human errors, quality issues, etc., that make the real processes differ from simulated processes, and cause the instability of production throughput and changes in the Work in Process. To analyze the Work in Process in the model, initialization of the model with proper production data is required, as the Digital Twin uses data synchronization with the production database. In this paper, the digital model of a human-robot-operated manufacturing system with Work-in-Process data synchronization is analyzed, and the results of the statistical analysis of simulation experiments are presented. The obtained results show high variability of finished production, which is related to system instability due to random failures, especially when the system starts from an empty state. However, an increase in initial Work in Process results in better efficiency and stability for the whole system. The DT simulation of the manufacturing system can be very helpful, as it becomes a repository of knowledge about the real system and enables the analysis of its dynamics. However, for proper functionality, the model should include information about the current WIP state, which enables the start of the simulation with exactly the same number of queues as in the real system. The presented method can also be used in similar enterprises from other industries, especially for those with discrete processes or high WIP variability, and for further synchronization of other DT parameters.

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A dynamic maintenance planning methodology for HVAC systems based on Fuzzy-TOPSIS and failure mode and Effect Analysis

Okoro,

Mubaraq,

Olugu

et al. 2024

Journal of Building Engineering

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Optimization maintenance performance level through collaboration of overall equipment effectiveness and machine reliability

Cited by 3 publications

References 42 publications

Application of Overall Equipment Effectiveness for Optimizing Ventilator Reliability in Intensive Care Units and Emergency Departments

Application of Overall Equipment Effectiveness for Optimizing Ventilator Reliability in Intensive Care Units and Emergency Departments

Modeling and Simulation of a Digital Twin of a Production System for Industry 4.0 with Work-in-Process Synchronization

A dynamic maintenance planning methodology for HVAC systems based on Fuzzy-TOPSIS and failure mode and Effect Analysis

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