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Instruction offered by members of the Department of Mechanical and Manufacturing Engineering in the Schulich School of Engineering.
Department Head – R. Hugo
Director (Manufacturing Engineering Program) – L. Sudak
Director (Graduate Program, Mechanical and Manufacturing Engineering) - A. Ramierez-Serrano
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Manufacturing Engineering
601
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Artificial Intelligence Applications in Manufacturing
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Artificial intelligence; expert systems, system components and architecture, knowledge representation, search techniques, uncertainty; AI planning, problem representation, solution methods; programming languages and expert system shells for developing expert systems; introduction of neural networks, basic neuron model, multilayer perception, self organizing networks, adaptive resonance memory. Applications to design, manufacturing planning and robotics.
Course Hours:
H(3-0)
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Manufacturing Engineering
605
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Planning and Control of Computer Integrated Manufacturing
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Advanced techniques for the design, planning, and control of integrated manufacturing systems. Course elements include: a framework for manufacturing planning and control; data flow and structured modelling methodologies; hierarchical models of manufacturing; cellular manufacturing organization; databases and communications; forecasting, demand management, capacity planning and master production scheduling; materials requirements planning, manufacturing resource planning, Just-in-Time manufacture, and Optimized Production Technology; control of independent demand inventory items; production activity control, shop floor control, scheduling, order release and dispatching; simulation in planning and control.
Course Hours:
H(3-0)
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Manufacturing Engineering
607
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Total Quality Management
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Statistical Process Control (SPC) for discrete and continuous manufacturing processes. Acceptance Sampling. Process capability analysis. Introduction to design of experiments (DOE). Overview of quality economics, quality standards and management philosophy.
Course Hours:
H(3-0)
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Manufacturing Engineering
609
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Design and Analysis of Experiments
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Statistical Design of Experiments (DOE) techniques for efficient data collection, analysis and interpretation. Analysis of Variance (ANOVA), including blocking and nesting, in full and fractional factorial designs. Robust design, including classical response surface and Taguchi techniques. Applications to product and process improvement.
Course Hours:
H(3-0)
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Manufacturing Engineering
611
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Multi-Agent Systems
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Historical background; types and definitions of agents; knowledge representation and reasoning; agent theories, architectures and languages; possible world model and alternatives; symbolic, reactive and hybrid architectures; agent communication; coordination, cooperation, negotiation and planning; agent frameworks; example multi-agent systems are considered throughout the course.
Course Hours:
H(3-0)
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Manufacturing Engineering
613
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Research Seminar I
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Reports on studies of the literature or of current research. This course is compulsory for all MSc and thesis-route MEng students and must be completed before the thesis defence.
Course Hours:
H(3S-0)
NOT INCLUDED IN GPA
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Manufacturing Engineering
617
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Real-time Distributed Control Systems
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Shop floor control systems. Programmable logic controller (PLC) concepts, languages and models (e.g., IEC 61131-3). Real-time distributed control models (e.g., IEC 61499, RT-UML). Intelligent control: real-time distributed control system design; safety-critical system issues; reconfiguration issues.
Course Hours:
H(3-0)
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Manufacturing Engineering
619
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Special Problems in Manufacturing Engineering
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Designed to provide graduate students, especially at the PhD level, with the opportunity of pursuing advanced studies in particular areas under the direction of a faculty member. Students would be required to consider problems of an advanced nature.
Course Hours:
H(3-0)
MAY BE REPEATED FOR CREDIT
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Manufacturing Engineering
621
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Optimization Methods with Robotics Applications
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Designed for graduate and senior undergraduate students interested in advanced topics in robotics. Based on the students' research topics, contents may vary. These include: fundamental theory in robotics, mathematical toolbox for optimization, differential kinematics, kinematics and actuation redundancy, optimal control, cooperating manipulators, redundancy in force sensing and sensor fusion.
Course Hours:
H(3-0)
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Manufacturing Engineering
623
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CAD/CAM/CAE
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Components of CAD/CAM/CAE systems. Geometric modeling. Development of customized CAD systems. Complex shape modeling. Computer-aided process planning. CNC machining. Rapid prototyping. Finite element analysis and motion analysis. Engineering optimization. Virtual design and manufacturing.
Course Hours:
H(3-0)
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Manufacturing Engineering
698
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Graduate Project
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Individual project in the student's area of specialization under the guidance of the student's supervisor. A written proposal, one or more written progress reports, and a final written report are required. An oral presentation is required upon completion of the course. Open only to students in the MEng (courses only) program.
Course Hours:
F(0-4)
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Manufacturing Engineering
713
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Research Seminar II
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Reports on studies of the literature or of current research. This course is compulsory for all PhD students and must be completed before the candidacy examination.
Course Hours:
H(3S-0)
NOT INCLUDED IN GPA
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Courses of Instruction