Project: Y-MAS

PROCESS OPTIMIZATION THROUGH BLENDED LEARNING

PROCESS OPTIMIZATION THROUGH BLENDED LEARNINGProject: Y-MAS

in short

Project name: Internationalization of Blended‐Learning Continuing Education in Industrial Process Design and Optimization for the Production Sector in Spanish Speaking Latin America

Project duration: 01.10.2021 – 31.03.2024

Funding ID: 01BE17029C

Location: Execution in Latin America

Project sponsor: DLR-Projektträger

Project leaders: FIR e. V. an der RWTH AachenGrantor: Bundesministerium für Bildung und Forschung (BMBF)

OUR THREE WORKSHOP APPROACH

WORKSHOP 1

Reduce transportation time on long hauls by 30% and increase vehicle utilization by 50%

WORKSHOP 2

Reduce the need for truck parking spaces and parking search traffic by organizing carpooling in trucks

WORKSHOP 3

Create a better working environment for truck drivers, democratize the transport industry, and reduce load robberies and wildly parked trucks by implementing the “relay traffic” system and reducing wasted driving time

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PARTICIPATION

YOUR BENEFIT FROM JOINING THE STudy

EFFECTIVE AI KNOW-HOW

Gain a structured understanding of AI in manufacturing and learn about challenges in quality-critical industries.

Strengthen European manufacturing

Discover AI-driven production optimization through a comprehensive map featuring European industry leaders and documented success stories.

individual AI-solutions

Co-create practical case studies in interactive workshops by bringing your specific production challenges. Actively shape the study's focus and priorities to your individual requirements.

PRactical approach

Learn how to implement AI-driven optimization in production by building an operational demonstrator for a specific approach.

Renowned partners

Network with leading experts in manufacturing and data-driven solutions while establishing strategic partnerships


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WANT TO KNOW MORE?

Project: Y-MAS
Carl Richter
Director