Statistical Analysis of Geometrical Tolerances: A Case Study

Bennis, Fouad; Castagliola, Philippe; Pino, Laurent

doi:10.1081/qen-200059875

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…The immediate benefits of this approach include reduction of manufacturing cost, by preventing further processing of defective parts along the manufacturing stages. This is aligned with a current trend for manufacturing industry (i.e., remote monitoring/control/diagnosis, product miniaturization, high precision, and information-integrated distributed manufacturing systems) [20][21][22][23][24][25][26]. Technical advances, especially the Internet, have been the major driving force [27,28].…”

Section: Introduction To Dfm and Remote Quality Inspectionmentioning

confidence: 84%

Remote Control of Quality Using Ethernet Vision and Web-enabled Robotic System

Kwon

Rauniar

Chiou

et al. 2006

Concurrent Engineering

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A dynamic, globalized and customer driven market brings opportunities and threats to companies, depending on the response speed and production strategies. One strategy is concurrent engineering (CE) that focuses on improving the product development process, by the consideration of various factors associated with the life cycle of the product from the early stages. Design for manufacturing (DFM) has proven to be an effective approach to implement CE concept. Recently, an important DFM concept in product quality has drawn much attention from both academia and industry. This is because intense domestic and international competition has put more emphasis on quality. This study investigates the feasibility of integrating Ethernet-based vision system and assembly robot for the purpose of remote quality control. The accuracy and repeatability of the system were tested and verified over the Internet, prior to the quality inspection. The web-enabled quality check and robotic operations present many benefits, such as ubiquitous access, remote control/programming/ monitoring capability, and integration of production equipment into information networks for improved efficiency and product quality within the framework of CE and DFM.

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Section: Introduction To Dfm and Remote Quality Inspectionmentioning

confidence: 84%

Remote Control of Quality Using Ethernet Vision and Web-enabled Robotic System

Kwon

Rauniar

Chiou

et al. 2006

Concurrent Engineering

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“…This includes fully-automated, 100% quality inspection that can process a large amount of measurement data [1][2][3][4][5][6]. Other production related activities and business functions will be also integrated into the company information management network, which guarantees the instant access to critical production data for enhanced decision making [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

E-quality control: A support vector machines approach

Tseng

Aleti

et al. 2015

Journal of Computational Design and Engineering

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James) Kwon, E-quality control: A support vector machines approach, Journal of Computational Design and Engineering, http://dx. AbstractThe automated part quality inspection poses many challenges to the engineers, especially when the part features to be inspected become complicated. A large quantity of part inspection at a faster rate should be relied upon computerized, automated inspection methods, which requires advanced quality control approaches. In this context, this work uses innovative methods in remote part tracking and quality control with the aid of the modern equipment and application of support vector machine (SVM) learning approach to predict the outcome of the quality control process. The classifier equations are built on the data obtained from the experiments and analyzed with different kernel functions. From the analysis, detailed outcome is presented for six different cases. The results indicate the robustness of support vector classification for the experimental data with two output classes.

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“…A current trend for manufacturing industry is shorter product life cycle, remote monitoring/control/diagnosis, product miniaturization, high precision, zero-defect manufacturing and information-integrated distributed production systems for enhanced efficiency and product quality (Cohen, 1997;Bennis et al, 2005;Goldin et al, 1998;Goldin et al, 1999;Kwon et al, 2004). In tomorrow's factory, design, manufacturing, quality, and business functions will be fully integrated with the information management network (SME, 2001;Center for Intelligent Maintenance Systems, 2005).…”

Section: Introductionmentioning

confidence: 99%