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INDUSTRIAL AND MANUFACTURING
SYSTEMS ENGINEERING
13.1.1 GRADUATE FACULTY
Professors
Lashkari, Reza S.; B.Sc. (Tehran), M.S.I.E., Ph.D. (Kansas State), P.
Eng.—1977.
Dutta, Sourin P.; B.E., M.Tech. (Burdwan), Ph.D. (I.I. Sc.), P. Eng.—1984.
El Maraghy, Hoda A.; B.Eng. (Cairo), M. Eng., Ph.D. (McMaster), P.Eng.
—1994.
El Maraghy, Waguih; B.Eng. (Cairo), M. Eng., Ph.D. (McMaster), P.Eng.—1994.
Associate Professors
Du, Ruxu; B.S. (Wahung Iron and Steel Inst.), M.S. (South China Inst.
Tech.), Ph.D. (Michigan), P.Eng.—1991.
Wang, Hunglin (Michael); B.S. (National Tsing-Hua U.), M.S. (State U.
of New York, Buffalo), Ph.D. (Iowa), P.Eng.—1991.
Taboun, Salem; B.Sc. (Tripoli), M.Sc. (Miami), Ph.D. (Windsor)—1992.
Assistant Professor
Salustri, Filippo A.; B.A.Sc.,M.A.Sc., Ph.D. (Toronto), P.Eng.—1996.
13.2.1 AREAS OF SPECIALIZATION
Graduate programs offered are M.A.Sc. in Industrial Engineering and
Ph.D. in Manufacturing Systems Engineering, encompassing basic as well
as applied research.
13.3.1 COURSE DESCRIPTIONS
Courses offered by Industrial and Manufacturing Systems Engineering
at the graduate level are listed below.
Students may take courses from outside Industrial and Manufacturing
Systems Engineering with permission of the Chair of the Program Graduate
Committee and the advisor.
All courses listed will not necessarily be offered in any given year.
91-500. Optimization
Classical theory of optimization. Kuhn-Tucker conditions. Unconstrained
optimization; gradient methods, conjugate gradient methods, variable metric
methods, search techniques. Constrained optimization. Approximation methods,
projection methods, reduced gradient methods; penalty function methods;
computational algorithms. Recent advances in optimization. Use of computer
software packages. (Prerequisite: 91-312 or equivalent.) (3 lecture hours
a week.)
91-501. Industrial Experimentation and Applied Statistics
Distributions of functions of variables, estimations and tests of hypotheses,
power of tests, non-parametric tests, sampling techniques, analysis of
variance, randomized blocks. Latin squares and factorial experiments. (Prerequisite:
91-227 or equivalent.) (3 lecture hours a week.)
91-502. Simulation Principles and Techniques
Discrete-event system simulation. Random number generation. Stochastic
variate generation. Input parameters; identification and estimation. Output
analysis. Static and dynamic output analysis; initial and final conditions;
measures of performance and their variance estimation; confidence interval.
Design of experiments. Various sampling techniques. Single and multifactor
designs. Fractional designs. Response surfaces. Regeneration method for
simulation analysis; Monte Carlo optimization. (3 lecture hours a week.)
91-503. Production and Inventory Control Systems
Analysis of production-inventory systems. Inventory systems; deterministic,
single-item and multi-item models; quantity discounts; stochastic, single-period
models; periodic review and continuous review models. Production planning.
Static demand models; product mix and process selection problems; multi-stage
planning problems. Dynamic demand models; multi product and multistage
models. Operations scheduling; job shop scheduling; line balancing. New
directions in production systems research. (Prerequisite: 91-413 or equivalent.)
(3 lecture hours a week.)
91-504. Advanced Operations Research I
Theory and computational techniques for solving linear and integer
programming problems. Theoretical foundations of the simplex algorithm.
Duality, sensitivity analysis and parametric programming. Network flow
methods. Integer programming problems. Cut algorithms, branch and bound,
and implicit enumeration methods. Dynamic programming. Recent developments.
(Prerequisite: 91-312 or equivalent.) (3 lecture hours a week.)
91-505. Advanced Operations Research II
Probabilistic O.R. models. Markovian decision process. Queueing theory.
Single channel and multichannel queueing systems. Queues with general arrival
and service patterns. Bulk queues and priority queues. Applications of
queuing models. Probabilistic dynamic programming. (Prerequisite: 91-412
or equivalent.) (3 lecture hours a week.)
91-506. Prediction and Measurement of Industrial Work Performance
(Special Emphasis on Mental Work)
Job and skill profiles; workload definition and measurement; workload
and performance modelling; information theory applications, models of the
process operator; optimal control models of human response; queuing models
for monitoring and supervisory behaviour; manual control skills and automation;
signal-flow graphs and their uses in operations design and planning. (Prerequisites:
91-315 and 91-415, or equivalent.) (3 lecture hours a week.)
91-507. Advances in Industrial Ergonomics
Ergonomics and work design; human workload measurement in industry;
visual display terminals at the workplace; signal detection and visual
inspection; user-computer interaction; human factors aspects of flexible
manufacturing systems; effects of individual and combined environmental
stressors on human performance. (Prerequisite: 91-415 or equivalent.) (3
lecture hours a week.)
91-508. Reliability Engineering
Basic reliability distributions. Constant failure rate models-exponential
reliability function, Poisson process. Time dependent failure models-the
Weibull, normal, lognormal distributions. State-dependent systems-Markov
analysis. System reliability-system structure function. Reliability growth
testing-noon-parametric methods, censored testing and accelerated lifetesting.
Design for reliability-specification, reliability allocatin, failure analysis,
system safety. Maintainability and availability. (Prerequisite: 91-327
or equivalent.) (3 lecture hours a week.)
91-509. Computer-Integrated Manufacturing
Development of CIM; the CIM pyramid—key functions. System integration;
standards for communications—MAP. Data base as the hub of CIM—types of
data base. Role of simulation and support systems—decision support systems
and expert systems. Sensor technology, robot vision, and group technology.
Impact of CIM. Factory of the future. (Prerequisite: 91-411 or equivalent.)
(3 lecture hours a week.)
91-510. Advanced Engineering Economy
Principles and methods for engineering analysis of industrial projects
and operations. Criteria for economic decisions, project investment analysis,
gain and loss estimating and techniques for economic optimization under
constraint are included. Emphasis is placed on the construction and use
of analytical models in the solution of engineering economy problems. Elements
of risk and uncertainty are included through use of probabilistic techniques.
(Prerequisite: 85-313 or equivalent.) (3 lecture hours a week.)
91-511. Stochastic Processes
Stochastic processes. The Poisson process—relationship to exponential,
Erlang and uniform probability distributions. Markov chains—basic limit
theorem. Continuous time Markov chains—birth-and-death processes, time-dependent
probabilities, limiting probabilities, relationship to the exponential
distribution, uniformization. Renewal theory—limit theorems, renewal reward
processes, regenerative processes, computing the renewal function. Brownian
motion and stationary processes. (Prerequisite: Statistics 91-412 or equivalent.)
(3 lecture hours a week.)
91-512. Flexible Manufacturing Systems
FMS components, characteristics, operation and control. Planning design
and implementation of FMS. Product design, process planning, scheduling,
machine control, sensing and system control for FMS. (Prerequisite: 91-413,
91-502, 91-509 or equivalent/permission of instructor.) (3 lecture hours
a week.)
91-513. Advanced Manufacturing Technology
Developments in nontraditional methods in EDM and ECM. Trends in automation.
Recent developments in manufacturing processes; micromanufacturing—integrated
circuits and laser machining. Advances in computer technology, CAD and
CAM. Kinematics of manipulation robots, artificial intelligence, monitoring
and vision systems. (Prerequisite: 91-321 or equivalent.) (3 lecture hours
a week.)
91-590. Special Topics
Selected advanced topics in the field of Industrial Engineering. (3
lecture hours a week.)
Current topics include:
Sustainable Manufacturing
Industrial Control & Robotics
Engineering Design, Methodology and Applications
Artificial Intelligence Applications in Manufacturing
Time Series with Applications in Manufacturing
Space Robotics & Design
KAD: Knowledge Aided Design
Development of Knowledge-Based Systems for Manufacturing
Computer-Aided Design (CAD)
Computer-Aided Manufacturing
Management of Technology
Scheduling/Process Planning
Manufacturing Systems Simulation
Assembly
Vision
91-796. Major Paper
91-797. Thesis
91-798. Dissertation
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