INDUSTRIAL AND MANUFACTURING SYSTEMS ENGINEERING: COURSE DESCRIPTIONS INDUSTRIAL ENGINEERING 91-211. Introduction to Industrial Engineering An introduction to the various facets of industrial engineering including its development as a discipline and its relationship with Operations Research and Manufacturing Sciences; emphasis on Systems Approach. Impact of computers on I.E. functions and recent developments. Class discussions are supplemented by visits to various local industries. (3 lecture, 2 laboratory tutorial hours a week.) 91-312. Operations Research I Deterministic O. R. models. Linear programming-graphical and simplex methods, duality theory. Transportation, assignment and network models. Sensitivity analysis. Integer programming, branch-and-bound and cutting plane methods, mixed IP algorithms, 0/1 programming. Use of LP and IP computer software programs. Dynamic programming-principle of optimality, stagecoach problems, recursive relationship. (Prerequisite: 62-126.) (3 lecture, 2 laboratory hours a week.) 91-315. Work Analysis and Measurement 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.) 91-317. Systems Analysis and Design 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.) 91-321. Manufacturing Technology and Processes 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 Technical Support Centre. (3 lecture, 2 laboratory tutorial hours a week.) 91-322. Simulation of Industrial Systems Introduction to Simulation-Random number and variate generation. Applications to queues, inventories and related models. Special purpose simulation languages-SIMAN/ARENA. 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.) 91-327. Quality and Reliability Engineering 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 and maintainability, ISO 9000, QS 9000, TS 9000 standards. (Prerequisite: 85-222.) (3 lecture, 2 tutorial hours a week.) 91-328. Facilities Planning 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.) 91-400. Capstone Design Project Each student working individually will undertake an industrial project. The project will focus on one or a combination of design subjects such as product design, process design, system design, method design, and man-machine interface design. 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. The faculty advisor and the industrial preceptor will advise the student and evaluate the progress and result of the project. Oral presentation and written reports (interim progress and final) are required. (6 laboratory/tutorial hours a week; offered over two terms.) (A 6.00 credit hour course.) 91-411. Computer-Aided Design and Manufacturing 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.) 91-412. Operations Research II Probabilistic O.R. models. Markov chains and their properties; continuous-time Markov chains. Queuing theory; the role of Exponential and Poisson distributions. Applications of queuing theory in production systems. Markovian decision processes. Reliability. Renewal Theory. Use of computer software programs to solve optimization problems in queues and Markov Processes. (Prerequisite: 85-222.) (3 lecture, 2 laboratory hours a week.) 91-413. Production Systems Analysis 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.) 91-415. Human Factors in Engineering Systems 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 display 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.) 91-425. Materials Handling and Systems Safety 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.) 91-429. Management Decision Support Systems 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.) 91-430. Directed Study 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 Industrial Engineering Program seminars may be part of the requirement. (Prerequisite: fourth-year standing with at least an 8.0 average.) 91-431. Fundamental of Flexible Manufacturing Systems Evolution of manufacturing systems and paradigms; from mass production to re-configurable manufacturing. Group Technology and Cellular Manufacturing: production flow analysis, classification and cooling systems, CAPP, machine cell/part family formation. Flexible Manufacturing Systems (FMS): Definition and types of flexibility, modules and components, AGVs and automated storage/retrieval systems, tool management, computer control and software in FMS, Implementation issues and economic justification. Assembly systems: manual, automated and flexible assembly systems; design for manufacture and assembly (DFM/A). Robots in manufacturing: industrial robotics, configuration, characteristics and applications. (Prerequisite: 91-413 or equivalent.) (3 lecture, 2 laboratory/tutorial hours a week.) 91-432. Statistical Methods in Manufacturing 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.) 91-433. Industrial Safety and Health 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.)