Smart Manufacturing and Lean Systems Research Group

The vision of this group is to be recognized for excellence in manufacturing and enterprise systems intelligence as well as applications that enhance productivity and competitiveness.

The mission of the Smart Manufacturing and Lean Systems Research Group is to enhance the productivity of manufacturing and enterprise systems through modeling and simulation, optimization, statistical analysis and applicable lean tools. The group aims to add value to the organization by capturing system behaviors and addressing the root causes for operational excellence.

Group Operational Overview

The Smart Manufacturing and Lean Systems Research Group focuses on applied research and related activities. The Group collaborates with industry to develop and/or solve company specific problems. The research projects can be executed by either a research team or dedicated full-time or part time researchers who can work at the company site or at Lawrence Tech. Our faculty has an extensive background and experience in problem solving and has produced outstanding results. A research contract and IP agreement will be developed based on the company’s needs and requirements. Our Group will work with the company to develop the scope of the project. Our research group will deliver the project at a fraction of the cost of what the company would be paying internally. This collaborative relationship between industry and the University has additional benefits including an opportunity for faculty and students to learn about real-world challenges and innovative solutions.

Research Expertise

  • Manufacturing Systems and Intelligent Manufacturing
  • Modeling and Simulation
  • Optimization and Applied Statistics
  • Reliability, Quality and Six Sigma
  • Lean Systems
  • Supply Chain and Logistics
  • Healthcare Systems
  • Product Lifecycle Management (PLM)
  • 3D Solid Modeling (CATIA, Solid Works, Pro/E, Unigraphics, IDEAS, AutoCAD), GD&T, CAM, and CAE
  • Production Planning and Scheduling
  • Renewable Energy, Energy Assessment and Optimization
  • Decision Support Systems

Collaborative Benefits

  • Expanded company resources
  • Access to university resources including faculty and students
  • Development of innovative solutions
  • Enhancement of existing products, processes and systems
  • Lower cost of delivering research projects
  • Potential talent pool of students
  • Experiential learning for students and researchers
  • Company intellectual property is protected
  • Analytical, practical and statistical solutions
  • High quality and value added deliverables

Contact Us

Ahad
Ali

Associate Professor
Director, Doctor of Engineering in Advanced Manufacturing
Director, Industrial Engineering Program
Director, Smart Manufacturing and Lean Systems Research Group