13–15 Sept 2021
Online
Europe/Berlin timezone

Session

Data-Driven Methods for Quality Modeling and Monitoring

PS12_IS2
13 Sept 2021, 15:45
Online

Online

Conveners

Data-Driven Methods for Quality Modeling and Monitoring

  • Chair: Kaibo Wang

Presentation materials

There are no materials yet.

  1. Qiao Liang
    13/09/2021, 15:45
    Quality

    User-generated content including both review texts and user ratings provides important information regarding the customer-perceived quality of online products and services. The quality improvement of online products as well as services will benefit from a general framework of analyzing and monitoring these user-generated content. This study proposes a modeling and monitoring method for online...

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  2. Shuai Zhang (Henan University of Engineering)
    13/09/2021, 16:15

    Monitoring the manufacturing process becomes a challenging task with a huge number of variables in traditional multivariate statistical process control (MSPC) methods. However, the rich information is often loaded with some rare suspicious variables, which should be screened out and monitored. Even though some control charts based on variable selection algorithms were proven effective for...

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  3. chen zhang
    13/09/2021, 16:45
    Quality

    Nowadays advanced sensing technology enables real-time data collection of key variables during manufacturing, which are referred to as multi-channel profiles. These data facilitate in-process monitoring and anomaly detection, which have been extensively studied in the past few years. However, all current studies treat each profile as a whole, such as a high-dimensional vector or a function,...

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