Smart Manufacturing and Lean Systems Research Group

The vision of the group is to be recognized for the excellence in manufacturing and enterprise systems intelligence and applications to enhance the 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 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 other benefits. It provides an opportunity for faculty and students to learn about real-world challenges and innovative solutions.


Collaborative Benefits

           Expanded company resources

         Access to University environment include faculty and students

         Development of innovative solutions

         Enhancement of existing products, processes and systems

         Lower cost of research activities

         Potential talented 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


Let's get started

Further information and/or to arrange an appointment to discuss how to start a project with The Smart Manufacturing and Lean Systems Research Group contact:

Dr. Ahad Ali, Assistant Professor and Director of MSIE Program

A. Leon Linton Department of Mechanical Engineering

Lawrence Technological University, Southfield, MI 48075

Email: aali@ltu.edu; Phone: 248-204-2531, Fax: 248-204-2576


Research Funding

SVPI and Whelan Co.
New Center Stamping


Group Members

Dr. Ahad Ali, Faculty

Dr. Daw Alwerfalli, Faculty

Prof. Don Reimer, Faculty

Ayid Alqahtani, Graduate Student

Nirav Sheth, Graduate Student

Suvro Sudip, Undergraduate Student



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




September 25, 2013:

Workshop on Six Sigma and Tolerancing Stack-Up at Mary E. Marburger Science and Engineering Auditorium, Lawrence Tech, 7:00am - 6:00 pm Click Here For Registration


June 5, 2013: Symposium on Smart Manufacturing and Lean Systems at Mary E. Marburger Science and Engineering Auditorium, Lawrence Tech, 1:00-5:00 pm Speakers will be from Chrysler, Ford, GM, and Toyota. Click Here For Registration

Past Events

March 27, 2013: Workshop on Geometric Diemensioning and Tolerencing (GD&T), 12:30 - 4:30 pm.


GD&T Workshop 2013 Event Photos





Previous Research Projects / Experiences


Cellular Design, and Optimal Routing for High Mix Low Volume Manufacturing

Layout Optimization for Label Printing Facility

Energy Optimization for Boiler Controller

End-of-Line Inspection for Annoying Noises in Automobiles Using Spherical Beamforming

Paint Bank Sequence Optimization on Assembly in an Automotive Manufacturing Plant

Robotic Manufacturing System Failure Prediction Methodology Development of Automotive Manufacturing

Manufacturing Process Optimization of PVC Alloy Casting for Automotive Interior Trim Application

Metamodeling and Multi Axis Loss Function for Returnable Containers in Automotive Closed Loop Supply Chain

Relationships between Waste and Operating Performance in Blanking Manufacturing Facility

Innovative Predictive Machine Failure Methodology Development using e-Manufacturing and CBM

Design a Reconfigurable Assembly Line for Power Drive Products

Development of a Real-Time Web-enabled Platform

Web-enabled e-Maintenance Platform for eBusiness: Integration and Optimization

MRO (Maintenance, Repair, and Operation) Lean Supply Chain Development

Web enabled platform testbed for monitoring

Internal Supply Chain Management with Uncertain Demand and Product Mix

Modeling and Simualtion Analysis for Airbag Sensors

Modeling and Simulation of Printed Circuit Board (PCB) and Hard Disk Drive (HDD)

Biomass Energy - Briquetting: Manufacturing and Marketing

Accidential Hazard Reduction in Small Boiler Operations