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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
417
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Manufacturing and Production Processes
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The role and characterization of manufacturing technology within the manufacturing enterprise. Overview of deformation processes, joining processes, consolidation processes, material-removal processes, and material alteration processes. Process selection and planning.
Course Hours:
H(3-3)
Prerequisite(s):
Engineering 200 or Engineering 253.
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Manufacturing Engineering
501
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Modelling and Simulation of Manufacturing Systems
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General modelling of production systems. Spreadsheet modelling for capacity analysis. Fundamentals of discrete-event simulation including: key concepts; simulation world views; the simulation study life cycle. Modelling and programming aspects of discrete-event simulation including: verification and validation; simulation animation; interfacing simulation software with other systems. Statistical aspects of discrete-event simulation including: random number and random variate generation; input process modelling; output analysis; variance reduction techniques. Applications of discrete-event simulation to the design and analysis of manufacturing systems.
Course Hours:
H(3-2)
Prerequisite(s):
Biomedical Engineering 319 or Engineering 319.
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Manufacturing Engineering
503
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Computer-Aided Design and Manufacturing
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Hardware and software for computer-aided design and manufacturing (CAD/CAM) systems. Geometric modelling, transformation and visualization. Modelling of freeform curves and surfaces. Programming for computer numerically controlled (CNC) machining. Integration of CAD/CAM systems, Applications in motion analysis, structure analysis, optimization, rapid prototyping, reverse engineering and virtual engineering.
Course Hours:
H(3-2)
Prerequisite(s):
Manufacturing Engineering 417 and Mechanical Engineering 337.
Antirequisite(s):
Credit for both Manufacturing Engineering 503 and 401 will not be allowed.
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Manufacturing Engineering
505
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Robotics
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Kinematics, statics, dynamics and control of robot arms. Robot actuators, drives, sensors, and vision. Applications of robots. Laboratories: task planning and programming of industrial robots.
Course Hours:
H(3-3/2)
Prerequisite(s):
Manufacturing Engineering 473 or Mechanical Engineering 473.
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Manufacturing Engineering
509
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Advanced Manufacturing Systems
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Manufacturing strategy and competitive manufacturing. Queuing theory and its application to manufacturing systems analysis (including rapid modelling tools). Linear programming and its application to manufacturing systems problems. Scheduling problems in manufacturing. Supply chain modelling and integration. Enterprise resource planning systems.
Course Hours:
H(3-2)
Prerequisite(s):
Manufacturing Engineering 415.
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Manufacturing Engineering
512
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Manufacturing Engineering Design Methodology and Application
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Preliminary and detailed engineering design of a product or system with the emphasis on the design process as it is associated with mechanical and manufacturing engineering. Topics include design methodology and general design principles for engineers, project management, decision making processes, reliability and robust design, embodiment, detailed drawing and product life-cycle design. A team-based design project may be sponsored by industry or the Department. Also, an emphasis is given to project management and technical communication, including presentations to a committee from the Department and/or industry.
Course Hours:
F(3-4)
Prerequisite(s):
Fourth year standing.
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Manufacturing Engineering
514
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Integrated Manufacturing Systems
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Fundamentals of integrated and competitive manufacturing. Manufacturing and operations strategy. Topics in production and operations management including: production planning and control systems; inventory management systems; process analysis and improvement; quality management systems.
Course Hours:
H(3-2)
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Manufacturing Engineering
517
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Experimental Design and Analysis
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Introduction to 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 to understand sources of variation in performance. Robust design, including classical response surface and Taguchi techniques, to minimize effects of environmental factors on performance variability. Applications to product and process improvement.
Course Hours:
H(3-2)
Prerequisite(s):
Biomedical Engineering 319 or Engineering 319.
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Manufacturing Engineering
521
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Manufacturing Practicum
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Review of material removal and solidification mechanisms, measurement systems, tolerancing. Operation and characterization of material removal processes and specific machines including saws, lathes, drills, milling machines as well as adjunct processes such as layout and inspection. Expendable mould casting processes including pattern design, mould making, melting and pouring practice. Process planning and evaluation. Design for manufacture. Workshop operations and safety.
Course Hours:
H(70 hours)
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Manufacturing Engineering
527
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Project Engineering
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The project lifecycle. Project planning, scheduling, and control. Resource considerations. Cost estimating, planning, and performance. Project risk. Project personnel and organizational structures.
Course Hours:
H(3-2/2)
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Manufacturing Engineering
529
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Introduction to Microelectromechanical Systems
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Microelectromechanical systems (MEMS) and devices including microsensors and microactuators. Principles of operation, material properties, fabrication techniques including surface and bulk micromachining, IC-derived microfabrication techniques, sensing and actuation principles, sensor dynamics issues, circuit and system issues, packaging, calibration and testing. Illustrative examples include (1) micromachined inertial sensors and actuators for manufacturing processes, (2) microactuator arrays for "smart surfaces," (3) biosensors for medical applications, and (4) transducers for aerospace applications.
Course Hours:
H(3-2)
Prerequisite(s):
Mechanical Engineering 461.
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Manufacturing Engineering
533
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Computer-Based Control for Industrial Automation
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Concepts of digital control. Digital circuits. Logic Controller architecture, programming using digital logic concepts, and interfacing. I/O devices sensors and actuators. Applications to work cells and production lines.
Course Hours:
H(3-2/2)
Antirequisite(s):
Credit for both Manufacturing Engineering 533 and 515 will not be allowed.
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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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