New Integrated Model for Maintenance Planning and Quality Control Policy for Multi-Component System Using an EWMA Chart

Al-Shayea, Adel; Noman, Mohammed A.; Nasr, Emad Abouel; Kaid, Husam; Kamrani, Ali Κ.; El-Tamimi, Abdulaziz M.

doi:10.1109/access.2019.2950815

Cited by 8 publications

(6 citation statements)

References 39 publications

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“…1) Suppose a multi-component system has critical components that influence the system's reliability, and the system will stop working if those components fail [57]. 2) Preventive maintenance procedures for critical system components are performed without a need for a system to stop working, while corrective maintenance procedures cannot be performed without a system stopping [58].…”

Section: B Assumptionsmentioning

confidence: 99%

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A New Integrated Risk-Assessment Model for Minimizing Human-Machine Error Consequences in a Preventive Maintenance System

et al. 2023

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In this paper, a risk-assessment model for minimizing human-machine error consequences during the implementation of preventive maintenance tasks has developed. The developed model aimed to find the optimal preventive maintenance interval (PMI) and corresponding minimum risk consequences costs per unit of time. Based on expert judgment, a human error probability (HEP) model was developed using the success likelihood index methodology (SLIM). In addition, we developed a system failure probability (SFP) model based on the failure and repair data of the system. The HEP model was integrated with an SFP model to develop a human-machine error model. Then, the risk-assessment model was developed based on the consequences of system failure and human error. The effectiveness of the developed human-machine error model was shown by applying a numerical example for a multi-component series system. The optimization toolbox from MATLAB R2022b was applied to solve the developed human-machine model. The results showed that the optimal PMI can be implemented after 24 working hours to 105 hours under the acceptable limit of risk in the system which is 100 SR/h. Finally, the developed model is an effective method that can be applied to a wide range of manufacturing systems to minimize financial risks related to system inspection and maintenance while meeting safety and availability requirements.

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Section: B Assumptionsmentioning

confidence: 99%

“…In this case, the costs for system restoration include spare parts costs, maintenance labor costs, and production loss costs due to system shutdown. The expected corrective maintenance cost (EC CM ) can be calculated as follows [57,58].…”

Section: Expected Costs For Repairing and Restoring A Systemmentioning

confidence: 99%

A New Integrated Risk-Assessment Model for Minimizing Human-Machine Error Consequences in a Preventive Maintenance System

et al. 2023

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“…Suppose that the initial value of the process mean can be shown, i.e., = , and suppose that is the real value of obtained from sample . Thus, the EWMA statistic, as calculated by A. S. Adel, M. et al [44] is defined as follows:…”

Section: Assumptionsmentioning

confidence: 99%

“…Srivastava and Wu [46] proposed an optimal value of which minimizes for given . The optimum is given by [44] as follows:…”

Section: Assumptionsmentioning

confidence: 99%

A Model for Maintenance Planning and Process Quality Control Optimization Based on EWMA and CUSUM Control Charts

Noman

Al-Shayea

Nasr

et al. 2021

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The performance of a production system is highly dependent on the smooth operation of various equipment and processes. Thus, reducing failures of the equipment and processes in a cost-effective manner improves overall performance; this is often achieved by carrying out maintenance and quality control policies. In this study, an integrated optimization method that addresses both maintenance strategies and quality control practices is proposed using an exponentially weighted moving average (EWMA) chart, in which both corrective and preventive maintenance policies are considered. The integrated model has been proposed to find optimal decision variables of both the process quality decision parameters and the optimal interval of preventive maintenance (i.e., Ns, Hs, L, λ, and ) to result in overall optimal expected hourly total system costs. A case study is then utilized to investigate the impact of cost criteria on the proposed integrated model and to compare the proposed model with a model using the cumulative sum (CUSUM) control chart. The improved model outputs indicate that there is a reduction of 34.6% in the total expected costs compared with those of the other model using the CUSUM chart. Finally, an analysis of sensitivity to present the effectiveness of the model parameters and the main variables in the overall costs of the system is provided.

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“…a EWMA prevê onde a média estará no próximo período, o que a torna facilmente aplicável na indústria(AL-SHAYEA et al, 2019).Em um número consideravelmente menor, algumas desvantagens quanto à utilização da carta de controle foram apresentadas por alguns autores, conforme mostra o Quadro 2.Quadro 2 -Desvantagens da utilização da carta de controle…”

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Carta de controle: uma revisão sistemática da literatura

BRAGANÇA

FERNANDES

Maganha

et al. 2022

Anais Do Encontro Nacional De Engenharia De Produção

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New Integrated Model for Maintenance Planning and Quality Control Policy for Multi-Component System Using an EWMA Chart

Cited by 8 publications

References 39 publications

A New Integrated Risk-Assessment Model for Minimizing Human-Machine Error Consequences in a Preventive Maintenance System

A New Integrated Risk-Assessment Model for Minimizing Human-Machine Error Consequences in a Preventive Maintenance System

A Model for Maintenance Planning and Process Quality Control Optimization Based on EWMA and CUSUM Control Charts

Carta de controle: uma revisão sistemática da literatura

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