Research on Production Quality Control and Efficiency Measurement Based on DEA-Benchmark Model

2012 ◽  
Vol 190-191 ◽  
pp. 151-155
Author(s):  
Yin Sheng Yang ◽  
Chang Qing Guo ◽  
Yun Cheng ◽  
Jun Yang

With rapid development of science, technology and economy, requirements of production quality control were more and more stringent. A new method to solver the problem was given in this paper. First we made up the index system of production quality control. Second the steps of the DEA-Benchmark model which was derived from deviation DEA model were put forward. At last, applying the model, we measured the quality of ten varieties of production.

2013 ◽  
Vol 423-426 ◽  
pp. 1090-1095 ◽  
Author(s):  
Yong Min Yang ◽  
Jie Long Cai ◽  
Ze Peng Chen

Moderate Heat Portland Cement is not only frequently-used cement for dam but also one of the largest amount of special cement as a main cementitious materials of concrete in hydraulic structure in China. Due to the high quality requirement and the complicated technology in the construction of dam, a series of measures are adopted to control the production quality of Moderate Heat Portland Cement used in the dam construction. In this paper, the measures of production quality control of the Moderate Heat Portland Cement are introduced, including controlling the raw materials such as the cement raw meal, fuel, clinker and gypsum, managing the discharge from the mill and the entrance test, which ensure that the various targets of physical and mechanical indexes are in accordance with the standard requirement. Moreover, the engineering quality of Roller Compacted Concrete (RCC) for the dam is effectively guaranteed through the lower pot temperature and the less hydration heat. The construction experience is available for the like-kind engineering interiorly.


Author(s):  
Mariia Zhuldybina ◽  
Xavier Ropagnol ◽  
Francois Blanchard

Abstract Over the past decade, printed electronics (PE) has shown great potential for a wide range of industries, from consumer goods, electronics, aerospace, automotive, pharmaceutical, biomedical, to textiles and fashion. The rapid development of printing technology has been strongly driven by the growth of the PE market and its many applications. Here, we review the latest trends in PE production quality control, focusing on emerging technologies such as terahertz spectroscopy, which may play a key role in the development of smart manufacturing of PE devices in the near future. We also provide a comparison with conventional quality control technologies or off-line measurements, such as four-point probe measurements, atomic force microscopy, optical microscopy, etc.


Author(s):  
W. J. Mao ◽  
H. T. Zhao ◽  
W. C. Gao ◽  
H. J. Tu ◽  
Y. M. Xu

Abstract. Aiming at the quality problems of the land cover classification data, such as missing update of changed spots, overrun of spot collection accuracy, incorrect spot classification, and inconsistencies between the filling of the change types of map spots and technical regulations, had been found during the quality inspection of the national geographic condition monitoring in China. This paper analyzed the key production factors, processes and causes that affect the process quality of the land cover classification data, and proposed the concept of the whole production quality control, and discussed the quality control measures to improve the land cover classification product. The research based on the new requirements of the whole-process quality control system in order to solve the quality problem-oriented production quality control method, could improve the quality of land cover classification product and provided reference for the quality control of the production process of related engineering projects in the future.


2019 ◽  
Vol 12 (3) ◽  
pp. 202-211
Author(s):  
Yuancheng Li ◽  
Rong Huang ◽  
Xiangqian Nie

Background: With the rapid development of the Internet, the number of web spam has increased dramatically in recent years, which has wasted search engine storage and computing power on a massive scale. To identify the web spam effectively, the content features, link features, hidden features and quality features of web page are integrated to establish the corresponding web spam identification index system. However, the index system is highly correlation dimension. Methods: An improved method of autoencoder named stacked autoencoder neural network (SAE) is used to realize the reduction of the web spam identification index system. Results: The experiment results show that our method could reduce effectively the index of web spam and significantly improves the recognition rate in the following work. Conclusion: An autoencoder based web spam indexes reduction method is proposed in this paper. The experimental results show that it greatly reduces the temporal and spatial complexity of the future web spam detection model.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christian Kapeller ◽  
Ernst Bodenstorfer

Abstract Battery technology is a key component in current electric vehicle applications and an important building block for upcoming smart grid technologies. The performance of batteries depends largely on quality control during their production process. Defects introduced in the production of electrodes can lead to degraded performance and, more importantly, to short circuits in final cells, which is highly safety-critical. In this paper, we propose an inspection system architecture that can detect defects, such as missing coating, agglomerates, and pinholes on coated electrodes. Our system is able to acquire valuable production quality control metrics, like surface roughness. By employing photometric stereo techniques, a shape from shading algorithm, our system surmounts difficulties that arise while optically inspecting the black to dark gray battery coating materials. We present in detail the acquisition concept of the proposed system architecture, and analyze its acquisition-, as well as, its surface reconstruction performance in experiments. We carry these out utilizing two different implementations that can operate at a production speed of up to 2000 mm/s at a resolution of 50 µm per pixel. In this work we aim to provide a system architecture that can provide a reliable contribution to ensuring optimal performance of produced battery cells.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247925
Author(s):  
Pooi-Mun Wong ◽  
Shreya R. K. Sinha ◽  
Chee-Kong Chui

Blockchain has been applied to quality control in manufacturing, but the problems of false defect detections and lack of data transparency remain. This paper proposes a framework, Blockchain Quality Controller (BCQC), to overcome these limitations while fortifying data security. BCQC utilizes blockchain and Internet-of-Things to form a peer-to-peer supervision network. This paper also proposes a consensus algorithm, Quality Defect Tolerance (QDT), to adopt blockchain for during-production quality control. Simulation results show that BCQC enhances data security and improves defect detections. Although the time taken for the quality control process increases with the number of nodes in blockchain, the application of QDT allows multiple inspections on a workpiece to be consolidated at a faster pace, effectively speeding up the entire quality control process. The BCQC and QDT can improve the quality of parts produced for mass personalization manufacturing.


2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Xuhua Xu

According to the physical and chemical indexes of different periods, different storage containers and different storage sites, a two overall T test was used to show that there were significant differences in physical and chemical indexes of liquor body in different detection sites. Correlation analysis of wine storage in different storage methods by Spearman correlation coefficient. By using the principal component analysis method, the comprehensive evaluation index system of the quality of the wine body was constructed, and the classification model of the detection location based on the comprehensive evaluation was established by using the index system. The detection sites were classified, and the results showed that the detection sites were divided into four grades.


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