Health prognosis approach for manufacturing systems based on quality state task network

He, Yihai; Cui, Jiaming; Gu, Changchao; Han, Xiao; Chen, Zhaoxiang; Zhao, Yuan

doi:10.1177/0954405418780174

Cited by 12 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Availability is defined as the extent to which a product is in a working or usable state for a certain time frame. Therefore, the unavailability of an equipment can be expressed as the ratio of the production capacity loss of the equipment to the production capacity of the equipment under perfect conditions 24 :…”

Section: Operational Quality Data Fusion Model Based On the Estnmentioning

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:

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Operational Quality Data Fusion Model Based On the Estnmentioning

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:

Self Cite

View full text Add to dashboard Cite

show abstract

“…The actual reliability is severely dependent on the manufacturing quality and the effectiveness of process control. 5,6 Thus, enhancing the product reliability is a worthy improvement direction in process control. In addition, the newest ISO 9001:2015 standard emphatically advocates the integration of the quality management system with the management of other important product characteristics, 7 which implies that reliability assurance should be coordinated with traditional quality control activities.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the newest ISO 9001:2015 standard emphatically advocates the integration of the quality management system with the management of other important product characteristics, 7 which implies that reliability assurance should be coordinated with traditional quality control activities. 6,8 Many studies have shed light on the correlativity between the manufacturing quality and the product reliability. Jiang and Murthy 9 discussed the impacts of component non-conformance and assembly error on the product reliability based on Weibull distribution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Product reliability–oriented optimization design of time-between-events control chart system for high-quality manufacturing processes

Chen

Cui

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

Self Cite

View full text Add to dashboard Cite

In high-quality manufacturing processes, the yield is no more the only issue, and the quality control approach that also considers the product’s actual performance gradually becomes the focus. Reliability is a critical dimension of quality, and its degradation in usage is always determined by the manufacturing quality. To mitigate the degradation of reliability, this article presents a product reliability–oriented optimization design of the time-between-events control chart system, where the quantitative impact of process quality on the product reliability is analyzed. First, critical-to-reliability process parameters are identified, and a product reliability degradation model is proposed considering the effect of process variations and defects. Second, the observed event and the used statistics are determined to prearrange the time-between-events chart system. Third, all individual time-between-events charts are systematically optimized to minimize the expected batch product reliability degradation caused by potential process shifts, where the cost and statistical performance are considered as constraints. The result of the case study shows that the proposed design can reduce 27.02% of batch product reliability degradation due to manufacturing process quality, and this model can also save the operating cost on the basis of attaining minimum reliability degradation in certain situations.

show abstract

“…Cai et al 21 analyzed and studied the fault correlation of high-voltage switchgears, integrated data mining, Fuzzy Set Theory, Bayesian Network, expert comprehensive judgment, and other data analysis methods for relevant reliability index and influence factors to provide support for the inspection and maintenance of HVCBs. To apply the massive manufacturing quality data effectively to the quality analysis of the manufacture enterprise, He et al 22 proposed a generalized health prognosis method for cylinder-head manufacturing system, which is presented based on the deep fusion of quality-oriented big data of operational process of manufacturing systems, and according to a wide range of production operations and statistical analysis, He et al 23 also presented the mapping relationship between the produced product reliability and mission reliability of the manufacturing system to build the mission reliability model. Based on the real-time management of data and information, Menon et al 24 described the product (not for high-voltage switchgears) life cycle management challenges in detail from the existing literature and presented solutions using industrial Internet platform openness and related dimensions as well as sub-dimensions.…”

Section: Introductionmentioning

confidence: 99%

A novel approach of fault-influencing factors analysis for high-voltage switchgears quality supervision based on industrial big data

Kong

Chang

Wang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

Fault-influencing factors analysis is an important part of the quality supervision process. There are double functions for high-voltage switchgears that switch off and protect electric circuits in power transmission lines. Such devices have serious impact on power grid–operating efficiency, factory operation, and resident life, which will cause economic losses. As it was difficult for traditional methods to analyze fault-influencing factors accurately and comprehensively, a novel method based on industrial big data was proposed to analyze high-voltage switchgears fault-influencing factors in the process of quality supervision in this article, which integrated the qualitative and quantitative analyses method. In this model, the Classification Based on Multiple Class-Association Rules based on Gaussian Mixture Model as the qualitative analysis method was adapted to analyze the whole life cycle of fault-influencing factors of high-voltage switchgears comprehensively, and supplied fault-influencing factors with discrete interval value ranges. The logistic regression method based on qualitative analysis was constructed to calculate fault occurrence probability quantitatively, including the single-fault occurrence probability and the multiple-faults joint occurrence probability. In addition, the single-fault occurrence probability was used to modify the discrete interval value ranges calculated by the qualitative analysis method, which could make the ranges more accurately. Consequently, the proposed method could provide important reference for high-voltage switchgears operation maintenance, and it would be possible to design accurate maintenance plans before equipment failure. The final instance demonstrates the effectiveness of the proposed methodology.

show abstract

Health prognosis approach for manufacturing systems based on quality state task network

Cited by 12 publications

References 30 publications

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

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

Product reliability–oriented optimization design of time-between-events control chart system for high-quality manufacturing processes

A novel approach of fault-influencing factors analysis for high-voltage switchgears quality supervision based on industrial big data

Contact Info

Product

Resources

About