Intelligent ComputerAided Manufacturing CAM Systems Laboratory

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Intelligent Computer-Aided Manufacturing (CAM)
Systems Laboratory
Samuel H. Huang, Associate Professor and
Director Intelligent CAM Systems
Laboratory http//www.eng.uc.edu/icams
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Overview

• Established in September 1998 with a mission to
  advance manufacturing technology by developing
  techniques to effectively integrate human and
  computer systems in a production environment
• Underlying technique is a modeling process
  (similar to that of human cognition) for
  developing intelligent systems that have the
  ability to capture the decision maker's
  preference and can handle information uncertainty
  
• Current team member 1 Post-Doc research
  associates, 4 Ph.D. students, 2 M.S. students
• Alumni 2 Post-Docs, 27 graduate students (3
  Ph.D. dissertations, 15 M.S. theses, 9 M.S.
  projects), and 3 undergraduate students

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Knowledge-based Modeling

• An expert centered data driven modeling approach
  that integrates knowledge embedded in data and
  those possessed by experts
• IF-THEN linguistic rules is used as a unified
  knowledge representation scheme because of their
  compatibility to expert heuristic reasoning and
  their adaptability to actual data
• General modeling framework with enabling tools

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Application Examples
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Integrated Production Solution
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Process Optimization/Integrated Process and
Tolerance Design
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Production Diagnostics/Equipment Health
Monitoring
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Metrics-based Supplier Evaluation

• Configure metrics based on business strategy
• Capture management preference using scale factor
  and utility function (capable of handling
  uncertainty)
• Evaluate supplier based on multi-attribute
  utility analysis

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Manufacturing Education A Virtual Corporate
Experience-based Approach

• Courses are mapped into job functions within a
  virtual corporation
• Students act as employees of a company working
  collectively to
• engineer and produce profitable products