The SMIC is a joint effort between Microsoft, Purdue University, West Virginia University (WVU), and University of North Florida (UNF) as primary partners, collaborating with regional NIST/MEP programs to increase impact. The SMIC’s objective is to democratize a portfolio of AI/ML solutions to help all industries and SMMs achieve new levels of efficiency, productivity, quality, performance, and build resiliency in their supply chain networks.

The SMIC team will develop AI/ML powered digital twin models that are integrated with the CESMII’s SM Innovation Platform (SMIP). These digital twin models represent manufacturing assets and processes across the manufacturing lifecycle of smart foundry, digital supply networks, and discrete machining operations at Purdue, WVU, and UNF respectively. They will showcase how AI/ML solutions can be used to capture insights enabling manufacturers and suppliers/supply chains to improve their decision-making, predict challenges, mitigate issues, improve efficiency, and optimize the orchestration of manufacturing operations.

Engineering Capabilities

Target Audience: Small, Medium Manufacturers

Industry Verticals: All

Technology Focus: Artificial Intelligence, Cognitive Manufacturing Solutions, Modeling, Digital Twins 

Manufacturing Assets: WVU Digital Supply Networks Testbed, UNF Subtractive Digital Machining Testbed, Purdue Smart Foundry 4.0 

“The Purdue SMIC is a joint effort between Microsoft, West Virginia University (WVU), and University of North Florida (UNF) to democratize and facilitate AI adoption in manufacturing at scale, and to bring operational, technological, and economic impact across a wide range of manufacturing industries.  With less than 6% of data generated currently being used, AI offers manufacturers the opportunity to capture insights from the data to facilitate data driven processes and operations to achieve new levels of efficiency, productivity, precision, and performance across the manufacturing lifecycle.”

Ragu Athinarayanan
Director, Smart Manufacturing Innovation Center

Purdue University
Purdue Polytechnic Institute
401 N Grant Street
West Lafayette, IN 479076

TEL: (765) 494-0448

satellite locationS

West Virginia University

  • R1 (very high research activity) classification
  • National Science Foundation ranked the WVU Statler College 84th in research expenditures among 404 engineering programs surveyed

  • Key staff expertise:

    • AI/ML in Manufacturing

    • Digital Supply Networks

    • Digital Twinning / PLM

  • Current horizontals:

    • Digital Supply Networks

    • Discrete Smart Manufacturing Systems

Thorsten Wuest Ph.D.

Associate Professor 
IMSE // Smart Manufacturing
West Virginia University
Industrial and Management Systems EngineeringMorgantown, WV 26506-6070, USA

University of North Florida

  • Ranked in Top 10 Nationally for ‘Innovation Impact Productivity – Smaller Universities’.

  • Ranked in the Top 50 universities in the nation for best online bachelor’s programs.

  • Awarded the Higher Education Excellence in Diversity (HEED) Award for 6 consecutive years.

  • Key staff expertise:

    • Data driven smart manufacturing

    • Industrial energy efficiency

    • Zero defect manufacturing

  • Current Industry verticals:

    • Machine tool industry

Gökan MAY

Assistant Professor at University of North Florida