Maximizing Efficiencies – Identification of Optimization Based Best Practices for Commercial 3d-printing

The research project seeks to understand, model and analyze the potential efficiency impact of additive manufacturing (AM or 3D-printing) on select manufacturing processes. The research will involve identifying, testing and measuring optimization opportunities in current manufacturing processes by combining current best practices and technologies across various AM technology and services, operational research methods and standard data mining techniques. The project seeks to form the foundation for understanding how high quality 3D-printing service bureaus using current AM technologies can impact the manufacturing eco-system. The knowledge gained from this research project will help with continued research to investigate how high quality 3D-printing service bureaus can impact economic development through operational efficiencies across the global manufacturing supply chain.

Faculty Supervisor:

Matthew Kyan

Student:

Partner:

Think2Thing

Discipline:

Business

Sector:

Manufacturing and Construction; New and Digital Media; Technology

University:

Toronto Metropolitan University

Program: