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. (Dean of the Faculty)
El Maraghy, Waguih; B.Eng. (Cairo), M.Eng., Ph.D. (McMaster), P.Eng.–1994. (Head of the Department)
Du, Ruxu; B.S. (Wahung Iron & Steel Institute), M.S. (South China Institute of Technology), Ph.D. (Michigan)—1991.
Wang, Hunglin (Michael); B.S. (National Tsing-Hua University), M.S. (SUNY, Buffalo), Ph.D. (Iowa)—1991.
Taboun, Salem; B.Sc. (Tripoli), M.Sc. (Miami), Ph.D. (Windsor)—1992.
Notash, Leila; B.Sc. (Middle East Technical), M.A.Sc. (Toronto), Ph.D. (Victoria)—1995.
Industrial and manufacturing systems engineering is concerned with analysis, design, improvement, and operation of integrated systems of people, machines, and materials. Industrial and manufacturing engineers are employed in all fields of manufacturing, business organizations such as banks, railroads, airlines, insurance companies, and hospitals, to improve the cost and services of all functions. The increasing complexity of industrial operations and the expansion of automated processes, coupled with the continued growth of the nation's industries and international competition, are factors contributing to the demand for industrial and manufacturing engineers.
Industrial and manufacturing systems engineering draws from specialized knowledge and skill in the mathematical, physical, and social sciences together with the principles and methods of engineering analysis and design to specify, predict, and evaluate the results to be obtained from systems involving people, machines, materials, and energy. The industrial engineer should combine the basic aptitudes of an engineer with an understanding of the reactions of people in operating systems. About one-half of the program of study consists of basic sciences and engineering courses, accompanied by studies in the humanities. The rest of the work is in the areas of conventional industrial and manufacturing engineering (i.e., plant flow analysis, work management and analysis, etc.), data processing, engineering economy, systems engineering, and operations research.
Note: The baccalaureate degree program in Industrial Engineering is accredited by the Canadian Engineering Accreditation Board of the Canadian Council of Professional Engineers.
The Fall and Winter terms are common to all Engineering Programs (see 8.4.1). In the Summer term, Co-op students also will register for 85-198 (Work Term I).
SECOND YEARFall Term
|
Lect. |
Lab |
Wt. | |
|
85-211.(Comp.-Aided Analysis II) |
3 |
1.5 |
3.75 |
|
85-212.(Thermodynamics I) |
3 |
1.5 |
3.75 |
|
85-214.(Networks & Systems) |
3 |
1.5 |
3.75 |
|
85-217.(Mech. of Def. Bodies ) |
2 |
2 |
3.00 |
|
91-211.(Intro. to Indust. Engrg.) |
3 |
2 |
4.00 |
|
62-215.(Vector Calculus) |
3 |
1 |
3.50 |
Winter Term
|
Lect. |
Lab |
Wt. | |
|
85-222.(Treatment of Expt. Data) |
3 |
1 |
3.50 |
|
85-233.(Fluid Mechanics I) |
3 |
1 |
3.50 |
|
41-117.(Intro. To Economics) |
3 |
1 |
3.50 |
|
62-216.(Differential Equations) |
3 |
1 |
3.50 |
|
71-140.(Principles of Mgmt.) |
3 |
0 |
3.00 |
Non-technical Elective (see 8.10.1)
Summer Term(Co-op students only)
85-298.(Work Term II)
THIRD YEARFall Term
|
Lect. |
Lab |
Wt. | |
|
60-212.(Adv. Comp. Prog. C) |
3 |
0 |
3.00 |
|
85-313.(Engrg. Economy) |
3 |
1.5 |
3.75 |
|
91-312.(Operations Res. I) |
3 |
2 |
4.00 |
|
91-315.(Work Analysis/Measure.) |
2 |
3 |
3.50 |
|
91-317.(Systems Analysis) |
3 |
2 |
4.00 |
One (1) Technical Elective*
TECHNICAL ELECTIVES
|
Lect. |
Lab |
Wt. | |
|
70-151.(Fin. Account. Prin. I) |
3 |
0 |
3.00 |
|
70-152.(Fin. Account. Prin. II) |
3 |
0 |
3.00 |
|
70-256.(Manag. Cost Account.) |
3 |
0 |
3.00 |
|
71-344.(Industrial Relations) |
3 |
0 |
3.00 |
|
87-314.(Transp. & Traffic Engrg.) |
3 |
2 |
4.00 |
Winter Term(Co-op students only)
85-398.(Work Term III)
Summer Term
|
Lect. |
Lab |
Wt. | |
|
91-321.(Mfg. Tech. & Processes) |
3 |
2 |
4.00 |
|
91-322.(Simulation of Ind. Sys.) |
2 |
3 |
3.50 |
|
91-327.(Quality & Reliability) |
3 |
2 |
4.00 |
|
91-328.(Facilities Planning) |
2 |
2 |
3.00 |
|
42-200.(Resource Mgmt.) |
3 |
0 |
3.00 |
|
Lect. |
Lab |
Wt. | |
|
46-371.(Industrial Psych.) |
3 |
0 |
3.00 |
|
71-240.(Organizational Behaviour) |
3 |
0 |
3.00 |
Fall Term (Co-op students only)
85-498.(Work Term IV)
Winter Term
|
Lect. |
Lab |
Wt. | |
|
91-400.(Project & Seminar) |
0 |
6 |
6.00 |
|
91-411.(CAD/CAM) |
3 |
2 |
4.00 |
|
91-412.(Operations Res. II) |
3 |
2 |
4.00 |
|
91-412.(Operations Res. II) |
3 |
1 |
3.50 |
One (1) Technical Elective*
Non-technical Elective (see 8.10.1)
Summer Term
|
Lect. |
Lab |
Wt. | |
|
85-421.(Engrg. & Society) |
3 |
0 |
3.00 |
|
91-400.(Project and Seminar) |
0 |
6 |
6.00 |
|
91-415.(Human Factors) |
3 |
2 |
4.00 |
|
91-425.(Materials Handling) |
3 |
2 |
4.00 |
|
91-429.(Dec. Supp. Systems) |
3 |
1 |
3.50 |
|
92-321.(Control Theory I) |
3 |
1 |
3.50 |
TECHNICAL ELECTIVES
|
Lect. |
Lab |
Wt. | |
|
91-430.(Directed Study) |
3 |
0 |
3.00 |
|
91-431.(Flexible Mfg. Systems) |
3 |
2 |
4.00 |
|
91-432.(Stats. Methods in Mfg.) |
3 |
2 |
4.00 |
|
91-433.(Indust. Safety & Health) |
3 |
2 |
4.00 |
|
91-434.(Stats. for Simulation) |
2 |
3 |
3.50 |
* Not all of the above technical electives will be offered every year.
An introduction to the various facets of industrial engineering including its development as a discipline and its relationship with Operations Research; emphasis on Systems Approach. Impact of computers on I.E. functions and future developments. (3 lecture, 2 laboratory-tutorial hours a week.)
Deterministic O. R. models. Linear programming—graphical and simplex methods, duality theory. Transportation, assignment and multidivisional problems. Sensitivity analysis. Use of LP computer software packages. Integer programming, branch—and—bound—and cutting plane methods, mixed IP algorithms, 0/1 programming. Use of IP computer software packages. Dynamic programming—principle of optimality, stagecoach problems, recursive relationship. Applications to assignment problem, knapsack problem, production-inventory problems. (Prerequisite: 62-126.) (3 lecture, 2 laboratory hours a week.)
The work system, operations analysis, methods improvement. A survey of work measurement techniques and applications as related to manufacturing and service industries. Wage payment plans and their scope. Application of these techniques using the work measurement lab. Special emphasis on methods for coping with unbalances and variations in the systems. (2 lecture, 3 laboratory hours a week.)
Basic concept of systems and systems engineering; system representation; system life cycle; system design process; system design for operational feasibility. Some basic computer software for systems analysis and design are discussed, including data based management systems and knowledge based systems. (3 lecture, 2 laboratory-tutorial hours a week.)
An introduction to manufacturing processes, including foundry, fabrication, forming, and cutting. Selection of materials. Manufacturing processes—machining processes, tool-life, cutting data bank. Metal forming—forging, presswork, die-design. Selection and justification of machine tools, machining centres. Joining of materials, welding-robotization, adhesives. Finishing operations—honing. Emphasis on the economics, capabilities, and productivity of various processes in Manufacturing. Applications of these techniques using the machine shop. (3 lecture, 2 laboratory-tutorial hours a week.)
Introduction to Simulation—Random number and variate generation. Applications to queues, inventories and related models. Special purpose simulation languages—GPSS, SIMSCRIPT. Input data analysis and model validation. Simulation output analysis, design of experiments. Use of computer software. (Prerequisite: 85-222.) (2 lecture, 3 laboratory hours a week.)
Impact of quality on manufacturing processes. Methods and philosophy of statistical process control. Importance of sampling. Control charts for attributes and for variables. Cusum charts. Other SPC techniques. Process capability analysis. Acceptance sampling. Basic concepts of TQM. Reliability engineering, failure modes; designing for reliability. Maintainability. (Prerequisite: 85-222.) (3 lecture, 2 tutorial hours a week.)
Topics include facilities planning as a systems concept; systematic layout planning; systematic handling analysis; cost concepts in materials handling; computerized layout planning models; design of storage systems; line balancing; location problems. (2 lecture, 2 laboratory hours a week.)
Each student working individually will undertake an industrial engineering project. The project will be assigned; or, if a student wishes to undertake a project of his or her choice, such a project must have departmental approval. (6 laboratory hours a week; offered over two terms.) (A 6.00 credit hour course.)
Fundamental concepts in computer-aided design, numerical control of machine tools, computer-aided manufacturing, computer-aided process planning, group technology, robotics and their applications, Flexible Manufacturing Systems. Introduction to and development of CAD-CAM. Hardware and software for CAD, workstations, 3-D modelling. Finite element method. NC, CNC, DNC. APT language, part programming. Robotics and applications. Group technology, CAPP and MRP. Integration of CAD with CAM—justification; case studies. From CAD-CAM to FMS and CIM. Emphasis on the integration of manufacturing systems. Applications of these concepts using the CIM laboratory. (Prerequisite: 91-321 or equivalent.) (3 lecture, 2 laboratory/tutorial hours a week.)
Probabilistic O.R. models. Markov chains and their properties; continuous-time Markov chains. Queueing Theory; the role of Exponential and Poisson distributions. Applications of Queueing theory. Markovian decision processes. Reliability. Renewal Theory. Use of computer software packages to solve optimization problems in queues and inventories. (Prerequisite: 91-312.) (3 lecture, 2 laboratory hours a week.)
Analysis and control of production systems. Demand forecasting. Deterministic and stochastic inventory systems. Aggregate planning and master scheduling. Material requirement planning. Operations sequencing and balancing. Job shop scheduling and control systems. Introduction to group technology and flexible manufacturing systems. (Prerequisite: 91-312.) (3 lecture hours, 1 tutorial hour a week.)
Implementing human factors in systems design; human capabilities and limitations; design of the industrial workplace; design of the environment—lighting, temperature, noise, atmosphere; design of displays and control systems; human factors in expanding technology—data processing and consumer products. (Prerequisites: 91-315 and 91-328.) (3 lecture, 2 laboratory hours a week.)
The Systems Design Process: traditional equipment review and description; automated delivery systems; load transfer systems; equipment selection process; storage systems; modelling handling systems; hazard related problems in materials handling systems design; key legislation related to safety and work compensation. (Prerequisite: 91-328.) (3 lecture, 2 laboratory hours a week.)
Formulation of decision problems in engineering and management. Decision criteria. Strategies. Utility theory and decision functions. Information requirements of decision-making systems. Design of information systems to support decision-making systems. Economic considerations. Use of computer software packages. (Prerequisite: 91-317.) (3 lecture hours, 1 laboratory hour a week.)
The student will undertake a literature survey and/or a laboratory project in consultation with the Department Head. A written report is mandatory and participation in the departmental seminars may be part of the requirement. (Prerequisite: fourth-year standing with at least an 8.0 average.)
Batch production, hard vs. soft automation, development of FMS—CAD-CAM, robotics—integration. Data base—tool data, fixturing. Tool management, swarf removal, preventive maintenance. Justification for the implementation of FMS. Case studies. Sensors and programmable controllers, AGVS and automated warehousing. Impact of FMS—human aspects, factory of the future. (Prerequisite 91-413 or equivalent.) (3 lecture, 2 laboratory/tutorial hours a week.)
Use of designed experiments in engineering design process. Experiments involving one factor; ANOVA; fixed, random, and mixed models; randomized blocks, Latin squares, and incomplete block designs. Factorial designs. Fractional designs. The Taguchi approach to quality design. Emphasis is put on industrial applications of various designs. (Prerequisite: 91-327.) (3 lecture, 2 laboratory hours a week.)
Fundamentals of systems safety; safety and accident prevention—causes and models; safety in product and process design; fault-tree analysis and risk assessment; safety and the physical environment; engineering methods of controlling chemical hazards; code of regulations for worker safety. (Prerequisite: 91-315.) (3 lecture, 2 laboratory hours a week.)
Simulation output analysis. Measures of performance and their estimation; transient and steady-state analysis. Design of experiments in computer simulation. Single-factor and multi-factor designs. Fractional designs. Response surfaces. (Prerequisite: 91-322.) (2 lecture, 3 laboratory hours a week.)
Courses taken in other Engineering departments will be found in the department listings for those particular courses; for courses in General Engineering (G.E.), see 8.5; for non-Engineering courses, see 8.10.