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For more information about these courses, see the Department of Mechanical and Manufacturing Engineering: in the Schulich School of Engineering.
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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:
3 units; (3-3)
Prerequisite(s):
Engineering 200.
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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:
3 units; (3-2)
Prerequisite(s):
Digital 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:
3 units; (3-2)
Prerequisite(s):
Mechanical Engineering 339.
Antirequisite(s):
Credit for Manufacturing Engineering 503 and 401 will not be allowed.
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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:
3 units; (3-2)
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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:
3 units; (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:
3 units; (3-2)
Prerequisite(s):
Digital Engineering 319 or Engineering 319.
Also known as:
(Manufacturing Engineering 609)
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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:
3 units; (3-2/2)
Antirequisite(s):
Credit for Manufacturing Engineering 527 and either Engineering 515 or 684 will not be allowed.
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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 microÂmachining, 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:
3 units; (3-2)
Antirequisite(s):
Credit for Manufacturing Engineering 529 and either Mechanical Engineering 519.16 (Intro Microsystems & Nanotech) or Manufacturing Engineering 619.01 (MEMS) will not be allowed.
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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:
3 units; (3-2/2)
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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:
3 units; (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:
3 units; (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:
3 units; (3-0)
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Manufacturing Engineering
618
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Manufacturing Optimization
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Application of operations research techniques in manufacturing engineering: linear manufacturing optimization problems; transportation, assignment and transshipment problems; dynamic manufacturing programming problems; network problems; manufacturing decision problems.
Course Hours:
3 units; (3-0)
Antirequisite(s):
Credit for Manufacturing Engineering 618 and 619.18 (Manufacturing Optimization) will not be allowed.
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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:
3 units; (3-0)
Antirequisite(s):
Credit for Manufacturing Engineering 619.01 (MEMS) and either Mechanical Engineering 519.16 (Intro Microsystems & Nanotech) or Manufacturing Engineering 529 will not be allowed.
MAY BE REPEATED FOR CREDIT
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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 modelling. Development of customized CAD systems. Complex shape modelling. Computer-aided process planning. CNC machining. Rapid prototyping. Finite element analysis and motion analysis. Engineering optimization. Virtual design and manufacturing.
Course Hours:
3 units; (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:
6 units; (0-4)
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COURSES OF INSTRUCTION