SME WEEK
중소기업 지원
프로그램
중소기업 지원
프로그램
Engage in a
Sustainable Future through
Smart Manufacturing.
Sustainable Future through
Smart Manufacturing.
2023. 12. 5.(화) – 12. 8.(금)
Apple 제조업 R&D 지원센터
참가자격
중소기업 임직원 누구나
주요내용
스마트 팩토리 구현 교육 (인공지능, 자동화 공정분석, 불량분석 등)
네트워킹 세션
네트워킹 세션
* 모든 참가 비용은 무료입니다.
Register
Program
Date | Time | Smart Quality | Smart Data | Smart Process | |
Day 1 | 09:00 - 10:00 | Registration and Breakfast | |||
10:00 - 11:00 | Failure Analysis Equipment | 1:1 Consultation (Optional) | Lean Manufacturing | ||
11:00 - 12:00 | |||||
12:00 - 13:30 | Lunch and Networking | ||||
13:30 - 14:30 | Failure Analysis Equipment | 1:1 Consultation (Optional) | Machine Learning in Manufacturing | ||
14:30 - 15:30 | Green Manufacturing | ||||
15:30 - 16:30 | Manufacturing Operations | Smart Training | 1:1 Consultation (Optional) | ||
16:30 - 17:30 | Communication and Presentation Skills |
Date | Time | Smart Quality | Smart Data | Smart Process | |
Day 2 | 09:00 - 10:00 | Registration and Breakfast | |||
10:00 - 11:00 | Failure Analysis Lab Equipment Introduction and Demo | Machine Learning with Vision | 1:1 Consultation (Optional) | Smart Training | |
11:00 - 12:00 | |||||
12:00 - 13:30 | Lunch and Networking | ||||
13:30 - 14:30 | 1:1 Consultation (Optional) | Machine Learning with Vision | Quality Fundamentals | ||
14:30 - 15:30 | Manufacturing Operations | ||||
15:30 - 16:30 | Communication and Presentation Skills | ||||
16:30 - 17:30 | 1:1 Consultation (Optional) | ||||
After-hours Events | Dinner and Networking |
Date | Time | Smart Quality | Smart Data | Smart Process | |
Day 3 | 09:00 - 10:00 | Registration and Breakfast | |||
10:00 - 11:00 | 1:1 Consultation (Optional) | IoT | Preventive Maintenance, Automation in Manufacturing |
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11:00 - 12:00 | Predictive Maintenance | ||||
12:00 - 13:30 | Lunch and Networking | ||||
13:30 - 14:30 | Machine Learning in Manufacturing | Failure Analysis Lab Tour | Preventive Maintenance, Automation in Manufacturing |
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14:30 - 15:30 | Manufacturing Operations | 1:1 Consultation (Optional) | |||
15:30 - 16:30 | Communication and Presentation Skills | ||||
16:30 - 17:30 | 1:1 Consultation (Optional) | Quality Fundamentals |
Date | Time | ||||
Day 4 | Upon reservation | 1:1 Consultation and hands-on experience with equipment (Optional) |
About the Programs
Automation in Manufacturing: Introduce advanced automation in the product manufacturing industry, and share instructive examples of various robotics.
Communication and Presentation Skills: Learn how to craft powerful presentations and moderate discussions effectively.
Failure Analysis Equipment: Learn about the failure analysis equipment principles, applications, and practices.
Failure Analysis Lab Equipment Introduction and DEMO: Introduce the state-of-the-art equipment and demonstration.
Failure Analysis Lab Tour: Introduce the state-of-the-art equipment and lab tour.
Green Manufacturing: What’s green energy, and how is it affecting the future of the product manufacturing industry?
IoT: Introduce IoT and the hardware and software components for industrial IoT.
Lean Manufacturing: Introduce professional process optimization methodology to promote overall equipment and production efficiency improvements.
Machine Learning in Manufacturing: Provide fundamental concept of machine learning and deep learning, along with manufacturing application examples.
Machine Learning with Vision: Introduce machine learning and deep learning in manufacturing by providing a hands-on activities for vision and ML use cases with Apple devices.
Manufacturing Operations: Learn the basic of manufacturing operations, and explore a case study to discuss methods for increasing manufacturing operational efficiency.
Predictive Maintenance: Introduce data-based anomaly detection and prediction methodologies for equipment condition monitoring.
Preventive Maintenance: Provide an in-depth understanding of advanced preventive maintenance methodology, and share lessons from world-class best practices.
Quality Fundamentals: Introduce a definition of quality and a framework to improve product quality.
Smart Training: Learn how to prepare and deliver professional training for Smart Manufacturing.