Modern Manufacturing Systems and Technology
This course is currently only offered as a custom program. The below description should be taken as an example of content and can be tailored to meet company needs. If you have been thinking about a customized course for your group of 30 or more, please review additional information on the Custom Programs page.
This course focuses on manufacturing and the entire process of going from customer needs to order fulfillment, with a particular emphasis on the process of creating products on a commercial scale. It will focus on the conversion of material into components and components into products that are delivered into a supply chain. This also encompasses the engineering and business aspects of these industries.
The course ties together the following modules:
- Management: Provides the context and framework for other modules. Topics approached in engineering practitioner, manager, and entrepreneur. Specific topics include semantics, finance, starting a company, and people management.
- Supply Chain: Presents decision making for system design, as it arises in manufacturing systems and supply chains. Exposure to frameworks and models for structuring the key issues and trade-offs. Possible topics include models, methods and software tools for logistics network design, capacity planning and flexibility, make-buy, and integration with product development.
- Manufacturing Systems: Provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Reviews fundamental topics including: probability, inventory and queuing models, forecasting, optimization, process analysis, and linear and dynamic systems. Introduction of factory planning and scheduling topics: flow planning, bottleneck characterization, buffer and batch-size tactics, seasonal planning, and dynamic behavior of production systems.
- Product Design: Covers modern tools and methods for product design and development. Topics include: product planning, identifying customer needs, concept generation, product architecture, and design-for-manufacturing.
- Process Control: Reviews the use of statistical modeling and control in manufacturing processes. Reviews experimental design and modeling to understand manufacturing process physics. Reviews defect and parametric yield modeling and optimization and forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control.
Fundamentals: Core concepts, understandings and tools (30%)
Latest Developments: Recent advances and future trends (25%)
Industry Applications: Linking theory and real-world 30%)
Other: Product dissection/reverse engineering (15%)
Lecture: Delivery of material in a lecture format (40%)
Discussion or Groupwork: Participatory learning (50%)
Labs: Demonstrations, experiments, simulations (10%)
Introductory: Appropriate for a general audience (10%)
Specialized: Assumes experience in practice area or field (65%)
Advanced: In-depth explorations at the graduate level (25%)
- Understand the tools and methods for analysis, design, and operation of manufacturing systems.
- Examine the challenges and experiences of other companies.
- Understand the core principles of manufacturing and product realization.
- Explore the formalities of the multi-disciplinary profession of manufacturing.
- Benchmarking: Learn how other companies are addressing problems similar to your own.
- Explore cutting-edge technology and research.
Who Should Attend
This course is targeted for managers and engineers in manufacturing (or who would like to work more closely with manufacturing engineers or need to know more about manufacturing) and product realization (design, etc). The course will be of particular benefit to those who wish to enhance their skill in efficiently and effectively solving technological problems that arise in manufacturing systems and processes. Those who should attend include:
- Engineers and engineering managers in manufacturing industries and product design
- Entrepreneurs and consultants who want to understand manufacturing and products realization
Course schedule, registration times, special events
Class runs 8:30 am - 5:00 pm each day.
8:30 am - 10:00 am - Session
10:00 am -10:30 am - Break
10:30 am - 12:00 pm -Session
12:00 pm - 1:30 pm - Lunch
1:30 pm - 3:00 pm -Session
3:00 pm - 3:30 pm - Break
3:30 pm - 5:00 pm -Session
Registration is on Monday morning from 7:45 - 8:15 am.
Special events include a dinner for course participants and faculty on Tuesday night. Evening activities are included in tuition.
About the Lecturers
Professor David E. Hardt, Course Director
Professor Hardt’s disciplinary focus is system dynamics and control as applied to manufacturing. His research is currently focusing on manufacturing of polymer micro devices, especially microfluidic chips. Recent work includes the manufacturing scale up of PDMS casting methods, in-depth investigation of microembossing process parameters, novel equipment design for micro-embossing of microfluidic devices, and in-process control of micro-contact printing. Professor Hardt is the co-founder of the MIT Center for Polymer Microfabrication.
Dr. Brian W. Anthony, Course Director
Director, Master of Engineering in Manufacturing Program.
Dr. Anthony has over 15 years of high-tech product development experience in ultrasonics, robotics, and machine vision with a specialty in Computational Instrumentation. Dr. Anthony’s research is focused on high speed, high precision metrology for industrial applications, including in-process metrology for microfluidic device production. Dr. Anthony is the co- founder of the MIT Center for Polymer Microfabrication. He is the co-founder and former Vice President of Xcitex, which specializes in video-acquisition and motion-analysis software. Dr. Anthony is an advisor to Cooper Perkins, a product development consultancy.
Professor Duane S. Boning
Professor Boning’s research interests include the modeling and control of variation in IC and MEMS processes, devices, and circuits. Particular emphasis is on modeling of chemical mechanical polishing (CMP), plasma etch and embossing processes, and statistical characterization and design for manufacturing in advanced IC technologies.
Professor Jung-Hoon Chun
Professor Chun is director of the Laboratory for Manufacturing and Productivity and a professor of mechanical engineering. His research focuses on the development of Innovative Manufacturing Processes. His research areas include droplet-based manufacturing processes, microelectronics manufacturing processes, such as chemical- mechanical polishing, and polymer-based microfluidic devices manufacturing. His teaching focuses on these research areas and on management in engineering. Dr. Chun also has experience in many large-scale international collaborations and industry-MIT consortia. He is active in advising and consulting for many for-profit and non-profit organizations worldwide, in technical as well as policy areas.
Dr. Stanley B. Gershwin
Dr. Gershwin’s research interests include real-time scheduling and planning in manufacturing systems, hierarchical control, dynamic programming in hybrid (discrete and continuous state) systems, decomposition methods for large scale systems, and approximation techniques. His major research goal is the development of an engineering theory of manufacturing systems control. Dr. Gershwin currently teaches an MIT course in Manufacturing Systems Analysis (2.852).
Professor Stephen C. Graves
Professor Graves is interested in the development and application of operations research models and methods to solve problems in manufacturing systems, supply chains, and service operations. Current projects include supply chain optimization, strategic inventory positioning in a supply chain, tactical issues in e-retailing, and production planning and scheduling for various contexts.
Links & Resources
- Moving microfluidics from the lab bench to the factory floor - The Center for Polymer Microfabrication designs manufacturing processes for a new generation of diagnostic tools.
There are no updates at this time.