September 22-23 - Quality-focused sessions, including Quality Control Optimization and an introduction to Process FMEA.
October 27 - Process focus includes Automation and Lean Manufacturing.
November 10-11 - Data focus includes Machine Learning with Vision, IoT and Predictive Maintenance training
Questions? Contact manufacturingacademy@msu.edu
Explore the current catalog of courses currently offered by the Apple Manufacturing Academy.
Learn the fundamentals of manufacturing automation, including its stages, types, and a structured roadmap for deciding when and how to automate effectively.
Learn how to craft powerful presentations and moderate discussions effectively.
A discussion on the cyber threat landscape and how cybersecurity can be a strategic business differentiator.
Explore how IE sits at the intersection of people, processes, machines, and data - applying lean methodologies, advanced analytics, digital manufacturing tools, simulation - to eliminate waste, optimize capacity, reduce cost, and drive measurable improvement across manufacturing operations.
Introduce real-time data collection with loT & data-based anomaly detection and prediction methodologies for equipment condition monitoring.
Introduce professional process optimization methodology to promote overall equipment and production efficiency improvements.
Introduce machine learning (ML) and deep learning in manufacturing by providing hands-on activities for vision and ML use cases with Apple devices.
Learn lean fundamentals, how to apply digital technologies to enhance operations, and overall equipment effectiveness to drive continuous improvement in an interactive workshop.
Introduces packaging as an integrated system, combining core packaging principles and AI implementation in the packaging fields. Participants learn how data-driven testing and AI tools improve packaging performance, quality, and sustainability.
Provide an in-depth understanding of advanced preventive maintenance methodology, and share lessons from world-class best practices.
Learn focused application of PFMEA to fully characterize and mitigate risks, through specifications and measurements.
Introduce a definition of quality and a framework to improve product quality.
Leverage manufacturing data to reduce and/or replace quality inspection.
Explore the core of electronic parts process technology.
Introduces two complementary techniques, participatory systems modeling and expedited scenario planning (XSP) as a novel approach to manufacturing planning, self-assessment and capacity-building.
Learn how to define meaningful KPIs, use visual performance management, and lead effective performance dialogues to improve accountability and operational performance.
Learn practical frameworks to influence mindsets and behaviors, strengthen organizational culture, and drive sustainable performance through effective leadership and change management.
Hands-on workshop that takes participants from raw manufacturing data to actionable analytics and ML models. Learn preprocessing, EDA, feature engineering, modeling, and evaluation with an end-to-end pipeline mindset grounded in real manufacturing constraints.