Reliability loss–oriented product assembling quality risk modeling approach based on reliability–quality–reliability chain

He, Yihai; Zhang, Anqi; Liu, Fengdi; Han, Xiao; Zhou, Di

doi:10.1177/0954405420911294

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…Pipeline reliability is an important factor in maintenance decision-making, and reasonable modeling of the corrosion degradation process is key to evaluating pipeline reliability. 12,17 Statistical data show that pipeline cracks are one of the main reasons for pipeline corrosion-based leakage. 18 Due to the randomness of crack initiation and propagation, previous research has used homogeneous 12 or non-homogeneous 4 Poisson processes to model the initiation of new cracks, and monotonically increasing random processes such as Gamma 4 or Inverse Gaussian (IG) 19 processes to characterize the cracks propagation.…”

Section: Introductionmentioning

confidence: 99%

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

Zheng,

Dong,

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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Cracks due to corrosion are one of the main reasons for natural-gas pipeline leaks. Making the reliability assessment, prediction, and maintenance decision of pipelines based on measurable crack data is a central issue at present. The failure of pipelines is usually a result of the cumulative impact of multiple cracks. The interaction between adjacent cracks accelerates crack propagation, and greatly affects the degradation mechanism of pipelines. In this study, the reliability prediction and maintenance decisions were studied by considering the dependent degradation between multiple cracks in pipelines. Firstly, the initiation and propagation of pipeline cracks were modeled using a non-homogeneous Poisson process and a Gamma process, respectively. The interaction between cracks was defined to be a function of the random crack distance, which could be reflected by the change of shape parameters in the Gamma process. Secondly, the pipeline’s failure was defined as the competitive failure of the number of cracks, the maximum crack depth, and the total crack depth. The reliability prediction model of a pipeline under this failure mode was determined. A non-periodic combined maintenance policy considering both the pipeline condition and its predictive reliability was then proposed, and an optimal predictive maintenance decision model was constructed to minimize the long-term average cost rate. Finally, the effectiveness of the proposed model and policy was verified by a numerical experiment and a crack dataset of a transnational pipeline.

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Section: Introductionmentioning

confidence: 99%

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

Zheng,

Dong,

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Liu et al 18 proposed a complicated product assembly variation analysis method based on a rigid–flexible vector loop that could determine the impact of each rigid and flexible part manufacturing error on product assembly variations. He et al 19 proposed an assembly quality risk modeling approach, based on a reliability–quality–reliability chain, to improve the reliability of assembly processes, which could also improve the quality of the assembled products.…”

Section: Introductionmentioning

confidence: 99%

The AAPF fault-tolerant method for small and complex product assembly

Lyu

Zhang

Tan

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Fault-tolerant control should be considered during assembly to ensure stability and efficiency of the assembly process. The paper proposes a fault-tolerant method to improve stability and efficiency during the assembly of small and complex products. The fault-tolerant method model was initially constructed, then an adaptive artificial potential field control algorithm (AAPF) was introduced to control related assembly tasks based on changes in assembly information. Next, active and passive fault tolerance methods were integrated using a least squares support vector machine (LS-SVM). Finally, the assembly of a 2P circuit breaker controller assembly with leakage protection was used as an example to verify the proposed assembly method. The experimental results demonstrated that the AAPF fault-tolerant method showed promising fault-tolerance capabilities for the assembly of small and complex products. Not only could it coordinate the number of tasks for each assembly robot, but it also effectively reduced the number of tasks that accumulated due to faults. The method proposed in this paper could effectively guarantee assembly stability and efficiency during small and complex product assembly.

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“…18,19 Therefore, managers need to consider the manufacturing system as a whole and propose a global optimization model that integrates the main elements of the manufacturing system. 20,21 However, the existing research on optimization of production scheduling has some deficiencies: (1). Most of the researches on production scheduling only considers maintenance activities (or production planning); (2).…”

Section: Introductionmentioning

confidence: 99%

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

Chen

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Machine utilization and production efficiency of manufacturing systems can be effectively improved through reasonable production scheduling. Traditionally, production scheduling and maintenance planning are considered as two independent issues, but it may lead to a suboptimal solution that is unable to maximize the productivity of the manufacturing system. Therefore, a mission reliability-oriented integrated scheduling model that considers production planning and maintenance activities is proposed. Firstly, the mission reliability that takes into account product type and equipment performance is defined to characterize production rhythm. Secondly, the maintenance strategy based on machine degradation cumulative failure and stochastic failure is proposed to guarantee the mission reliability of the machine effectively. Thirdly, an integrated scheduling model is established with the goal of minimizing total operational time, and Genetic algorithm is tailored to find the best production scheduling plan. Finally, a case study and comparative study of the cylinder head manufacturing system are presented to demonstrate the effectiveness of the proposed method. Results show that the proposed method is more suitable for production practice than the previous production scheduling strategy.

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Reliability loss–oriented product assembling quality risk modeling approach based on reliability–quality–reliability chain

Cited by 6 publications

References 25 publications

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

Pipeline reliability assessment and predictive maintenance considering multi-crack dependent degradation

The AAPF fault-tolerant method for small and complex product assembly

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

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