Manufacturing Engineering ENMF

ENMF 417 501 503 505 509 512 514 517 521 527 529 533 601 605 607 609 611 613 617 619 621 623 698 713

Instruction offered by members of the Department of Mechanical and Manufacturing Engineering in the Schulich School of Engineering.

Department Head 鈥� R. Hugo

Director (Manufacturing Engineering Program) 鈥� L. Sudak

Director (Graduate Program, Mechanical and Manufacturing Engineering) - A. Ramierez-Serrano

Senior Courses

Manufacturing Engineering 417

Manufacturing and Production Processes

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.

Manufacturing Engineering 501

Modelling and Simulation of Manufacturing Systems

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.

Manufacturing Engineering 503

Computer-Aided Design and Manufacturing

Hardware and software for computer-aided design and manufacturing (CAD/CAM) systems. Geometric modelling, transformation and visualization.聽 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.

Manufacturing Engineering 505

Robotics

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.

Manufacturing Engineering 509

Advanced Manufacturing Systems

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.

Manufacturing Engineering 512

Manufacturing Engineering Design Methodology and Application

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.

Manufacturing Engineering 514

Integrated Manufacturing Systems

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)

Manufacturing Engineering 517

Experimental Design and Analysis

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.

Manufacturing Engineering 521

Manufacturing Practicum

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)

Manufacturing Engineering 527

Project Engineering

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)

Manufacturing Engineering 529

Introduction to Microelectromechanical Systems

Microelectromechanical systems (MEMS) and devices including microsensors and microactuators. Principles of operation, material properties, fabrication techniques including surface and bulk micro颅machining, 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.

Manufacturing Engineering 533

Computer-Based Control for Industrial Automation

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.

Graduate Courses

Manufacturing Engineering 601

Artificial Intelligence Applications in Manufacturing

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)

Manufacturing Engineering 605

Planning and Control of Computer Integrated Manufacturing

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)

Manufacturing Engineering 607

Total Quality Management

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)

Manufacturing Engineering 609

Design and Analysis of Experiments

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)

Manufacturing Engineering 611

Multi-Agent Systems

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)

Manufacturing Engineering 613

Research Seminar I

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

Manufacturing Engineering 617

Real-time Distributed Control Systems

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)

Manufacturing Engineering 619

Special Problems in Manufacturing Engineering

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

Manufacturing Engineering 621

Optimization Methods with Robotics Applications

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)

Manufacturing Engineering 623

CAD/CAM/CAE

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)

Manufacturing Engineering 698

Graduate Project

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)

Manufacturing Engineering 713

Research Seminar II

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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