Failure Modes and Effects Analysis: An Integrated Approach for Optimizing Maintainability and Redesign for the Concrete Pump

Mkalaf, Khelood A.; AL-Sabbagh, Dr. Azzam Abdulwahhab. A. K.

doi:10.1109/icitm.2019.8710662

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…It is used as a reliable techie method to identify the frequency and potential causes of failure modes for a typical product, its parts, or its production system during its product lifecycle. This is called an FMEA [19], which is determined as a highly reliable application method that is used to evaluate health safety environment risk [20]. Consequently, implementing the RCM in the healthcare sector will lead to an increase in the availability of medical devices.…”

Section: Reliability-centred Maintenance (Rcm)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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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: Reliability-centred Maintenance (Rcm)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 the methodologies to select the best maintenance action according to the RCM process, Condition-Based Maintenance (CBM) technologies must be integrated with Computer Maintenance Management Systems (CMMS) to achieve the maximum capacity of the three aforementioned systems, as indicated by López-Campos et al [12], and include unified functional knowledge, as pointed out by Song [13]. This even includes TPM, as proposed Kumtekar et al [14], and Failure Modes and Effects Analysis, as proposed by Mkalaf et al [15].…”

Section: Introductionmentioning

confidence: 99%

Assisted-Driven Design of Customized Maintenance Plans for Industrial Plants

2022

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Current production systems that respond to market demands with high rates of production change and customization use complex systems. These systems are machines with a high capacity for communication, sensing and self-diagnosis, although they are susceptible to failures, breakdowns and a loss of reliability. The amount of data they provide as a productive system and, individually, as a machine can be treated to improve customized maintenance plans. The objective of this work, with an operational scope, is to collect and exploit the knowledge acquired in the industrial plant on failures and breakdowns based on its historical data. The acquisition of the aforementioned data is channeled through the human intellectual capital of the work groups formed for this purpose. Once this knowledge is acquired and available in a worksheet format according to the Reliability-Centered Maintenance (RCM) methodology, it is implemented using Case-Based Reasoning algorithms in a Java application developed for this purpose to carry out the process of RCM, accessing a base of similar cases that can be adapted. This operational definition allows for the control of the maintenance function of an industrial plant in the short term, with a weekly horizon, to design a maintenance plan adjusted to the reality of the plant in its current operating context, which may differ greatly from the originally projected plan or from any other plan caused by new production requirements. This new plan designed as such will apply changes to the equipment, which make up the production system, as a consequence of the adaptation to the changing market demand. As a result, a computer application has been designed, implemented and validated that allows, through the incorporation of RCM cases already successfully carried out on the productive system of the plant, for the development of a customized maintenance plan through an assistant, which, in a conductive way, guides the plant maintenance engineer through their design process, minimizing human error and design time and leveraging existing intellectual capital.

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Total Productive Maintenance: A Safety Approach to Optimize the Anesthesia Device Outcomes

Mkalaf

2020

2020 9th International Conference on Industrial Technology and Management (ICITM)

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Failure Modes and Effects Analysis: An Integrated Approach for Optimizing Maintainability and Redesign for the Concrete Pump

Cited by 4 publications

References 22 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

Assisted-Driven Design of Customized Maintenance Plans for Industrial Plants

Total Productive Maintenance: A Safety Approach to Optimize the Anesthesia Device Outcomes

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