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SME WEEK
중소기업 지원
프로그램
Accelerate Your
Smart Manufacturing
Journey
Tue, Nov 26–Thu, Nov 8, 2024
Apple Manufacturing R&D Accelerator
Who can attend
Small and medium-size business executives and employees*
Program details
  • Smart factory training in Machine Vision, Automation, Process Analysis, and Failure Analysis
  • Networking Session
*Participation is free.
Register
Programs
Date Time Program
Day 1 09:00 – 10:00 Registration
10:00 – 10:10 Opening Remarks
10:10 – 11:10 Logistics Optimization
11:10 – 11:40 Break
11:40 – 12:40 3D Printing and Manufacturing Business Writing 1:1 Consultation
(Optional)
12:40 – 14:00 Lunch
14:00 – 18:00 Smart Data Smart Process Smart Quality
Machine Learning and Vision Introduction of Deep Learning Lean Manufacturing Digital Transformation Introduction of analysis equipement and case overview Principle of main analysis Equipment and applications
Date Time Program
Day 2 09:00 – 10:00 Registration
10:00 – 11:00 Manufacturing Operations SMT 1:1 Consultation
(Optional)
11:00 – 11:30 Break
11:30 – 12:40 Innovative Cases and Implications in the Al Era
12:40 – 14:00 Lunch
14:00 – 18:00 Smart Data Smart Process Smart Quality
Machine Learning and Vision Introduction of Deep Learning Lean Manufacturing Digital Transformation Introduction of analysis equipement and case overview Principle of main analysis Equipment and applications
Date Time Program
Day 3 Upon reservation 1:1 Consultation
(Optional)
*The above schedule is subject to change.
*Participants who complete the program will receive a certificate issued by the Korea SMEs and Startups Agency.
(It can be used as proof of meeting the requirements for government projects.)
About the Programs
  • Digital Transformation: Introduce the process of using digital technologies to improve business processes, environments, and strategies, thereby creating new business value.
  • Introduction of Deep Learning: Introduce deep learning algorithms and hands-on activities for designing deep learning models applicable to manufacturing.
  • Machine Learning with Vision: Introduce machine learning (ML) and deep learning in manufacturing by providing hands-on activities for vision and ML use cases with Apple devices.
  • Logistics Optimization: Sharing insights and case studies on logistics optimization solutions.
  • Introduction of Analysis Equipment and Case Overview: Introduce analysis equipment, basic principles, and case studies for failure analysis.
  • The Theory and Practice of Business Writing: Introduce the principles and strategies of business writing.
  • Manufacturing Operations: Learn the basics of manufacturing operations, and explore a case study to discuss methods for increasing manufacturing operational efficiency.
  • Surface Mount Technology: Explore the core of electronic parts process technology.
  • Principle of Main Analysis Equipment and Applications: Explain core analysis equipment principles and applications with case studies and hands-on activities.
  • Innovative Cases and Implications in the AI Era: Analyze manufacturing innovation cases and future perspectives enabled by generative AI and big data technologies.
  • Lean Manufacturing: Introduce professional process optimization methodology to promote overall equipment and production efficiency improvements.
  • 3D Printing and the Future of Manufacturing: Analyze domestic and international manufacturing innovation cases using 3D Printing technology and discuss on 3D Printing applications in the manufacturing industry to prepare for the AI Era.