Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system

Liao, Ruoyu; He, Yihai; Feng, Tianyu; Yang, Xiuzhen; Dai, Wei; Zhang, Weifang

doi:10.1016/j.ress.2023.109273

Cited by 19 publications

(3 citation statements)

References 32 publications

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“…In summary, although this paper and many studies have adopted the six-sigma DMAIC method improvement process, the difference is that this paper adopted the process capability index C pk proposed by Kane [18] as a tool which promotes define, measure, and analyze in the improvement process of the six-sigma DMAIC method. However, the difference is that in the measurement and analysis steps, the process capability index C pk commonly used in the industry is combined to develop the MPCAC.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, the research purpose of this paper is to improve the process quality level of transistor spacers by adopting the above-mentioned Six Sigma DMAIC method improvement process. To achieve the goal of reducing the above cost losses, including (1) economic losses caused by maintenance [18], (2) failure of large-scale processing machinery to reduce production capacity, which may lead to economic losses caused by failure to deliver on schedule [19], (3) environmental pollution caused by maintenance during transportation and social losses, increasing carbon emissions [20,21].…”

Section: Introductionmentioning

confidence: 99%

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Construct the Optimum Process Model for Transistor Gaskets with Six-Sigma DMAIC

Chen

et al. 2023

Applied Sciences

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The improvement process of six-sigma DMAIC refers to the process that the industry performs to enhance process quality via the following five procedures: (1) define, (2) measure, (3) analyze, (4) improve, and (5) control. It is a common tool used in the industry to ameliorate and enhance process quality. In addition, the process capability index is a tool that the industry most frequently uses to measure process quality. Though many studies have discussed six-sigma methods, none of the specific theoretical models could be provided as a reference for the above five DMAIC improvement steps, making it difficult to control the effect. In order to solve this problem, this paper developed the multi-characteristic process capability analysis chart, MPCAC, using the process capability index and applied the method of statistical inference as a tool promoting define, measure, and analyze in the improvement process of six-sigma DMAIC. Additionally, the testing of the orthogonal table in the Taguchi method can efficiently assist process engineers in finding the optimum combination of machining parameters to improve or boost the process quality level of the quality characteristics by reducing the number and the cost of experiments. Therefore, this paper then adopted the testing of the orthogonal table in the Taguchi method as a tool for process improvement in the fourth step. Finally, according to the optimal combination of machining parameters improved in the fourth step, a standard operating procedure for transistor gaskets was established as a tool for process control in the fifth step.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Construct the Optimum Process Model for Transistor Gaskets with Six-Sigma DMAIC

Chen

et al. 2023

Applied Sciences

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“…To balance reliability prediction and optimization, Wang et al (2023) [152] suggested a theoretical framework that blends a semi-Markov decision process and a generalized proportional hazard model. Liao et al (2023) [153] introduced the risk-based maintenance (RBM) approach, which serves as a guide for maximizing the maintenance plan and is based on the dependability of manufacturing process jobs. Wei et al (2023) [154] studied a linearly degraded system that was exposed to a series of external shocks as well as a dynamically changing operating environment.…”

Section: Maintenance and Maintainabilitymentioning

confidence: 99%

A review of components of reliability for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

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The control of processes is made smooth and effective by Programmable Logic Controllers (PLCs), which are essential to industrial automation. The assessment of PLCs' reliability is crucial since more and more sectors depend on them for crucial tasks. In-depth reviews of the components necessary to evaluate PLC system reliability are presented in this study. To ensure a robust review, the review first clarifies the basic concepts of reliability, highlighting the significance of system uptime and the ramifications of failures in industrial settings. Next, it examined the different elements that go into a PLC's overall reliability, such as availability, testability, and (maintenance and maintainability). The percentage of the reviewed papers that employed (maintenance and maintainability), testability, or availability to improve the reliability of PLC systems showed that, availability and (maintenance and maintainability) has been employed the most for enhancing system reliability, accounting for 32% each of publications analyzed, followed by testability, accounting for 28% respectively. The scatter chart that depicts the progression of reliability components from 2010 to 2023 also explained that the use of availability and (maintenance and maintainability) was increasing. This upward trend can be explained by the fact that repairable systems are heavily reliant on availability, whereas (maintenance and maintainability) tend to avoid unnecessary equipment breakdown and testability, which ensures the ease with which the functionality of any system or component can be ascertained with the required level of precision.

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Advancement of risk analysis methods during prolonging the service life of industrial equipment

Belodedenko,

Bilichenko,

Hanush

et al. 2023

Discov Mechanical Engineering

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The aim of the work was to trace the relationship between the durability of the equipment and its maintenance strategy. This is done by examples of basic structures of industrial equipment. They have a long service life and during this time manage to accumulate certain damages that need to be diagnosed, after which decisions on its maintenance and repair must be made. Problems associated with the technique for extending the service life of industrial equipment are addressed. The authors have created a technique called the resource safety index (RSI), which uses this characteristic as a diagnostic metric. The usage of the risk function to control the technical state of base structures is shown in this study. It is demonstrated how the behavior of the risk function affects the choice of the inspection model. A risk function model for base structures is proposed, which is based on the concepts of stepwise assignment of the limit state and the corresponding useful life. An algorithm for determining the optimal period of restoration measures according to minimizing the cost intensity criterion, where the risk indicator is a parameter, has been developed. The proposed concepts were put into practice when deciding on the further operation of the housings of the 350 pipes rolling unit. The housings of the piercing mill and the automatic mill, which had been in operation for 80 years, were diagnosed. For the first time, it was discovered that the housings risk function at the crack break through point stage can be represented by a linear dependence directly proportional to the accumulation of operating time. One of the signs of deterioration in the technical condition of rolling mill stands is a malfunction of the system of fixing and securing the housings.

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Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system

Cited by 19 publications

References 32 publications

Construct the Optimum Process Model for Transistor Gaskets with Six-Sigma DMAIC

Construct the Optimum Process Model for Transistor Gaskets with Six-Sigma DMAIC

A review of components of reliability for the evaluation of Programmable logic controller

Advancement of risk analysis methods during prolonging the service life of industrial equipment

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