Automatic Virtual Metrology and Target Value Adjustment for Mass Customization

Hao Tieng, Chun Fang Chen, Fan Tien Cheng, Haw Ching Yang

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

One of the core values of Industry 4.0 targets to integrate people's demand into manufacturing for enhanced products, systems, and services for a wider variety of increasingly personalized customization of products. Thus, Industry 4.0 advances the traditional manufacturing techniques from mass production toward mass customization (MC). Take wheel machining automation (WMA) as an example. To meet MC expectations, manufacturers should offer customized wheels at a large scale with low cost, short lead-time, and high quality. Thus, WMA cells with MC capability are requested to be designed to have a high degree of quick responsiveness to accurately react on machining-condition changes for manufacturing different wheel types. To meet the requirements of MC production, this work proposes to apply the automatic virtual metrology (AVM) system together with the so-called target-value-adjustment (TVA) scheme. The AVM system was developed by the authors to convert sampling inspections with metrology delay into real-time and on-line total inspection, while the TVA scheme is designed to enhance AVM's adaptive customization capability for automatically and rapidly accomplishing the goals of MC production. To demonstrate the versatility of the AVM-plus-TVA approach, the other example in semiconductor etching process is also illustrated.

Original languageEnglish
Article number7801027
Pages (from-to)546-553
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume2
Issue number2
DOIs
Publication statusPublished - 2017 Apr

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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