This course covers methods to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, optimization, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size analysis, and dynamic behavior of production systems. Students must complete an optimization design project. 

This course covers the theory, equipment and application of machine tool and metal removal processes. In addition to understanding machining methods, the economics and comparison between machining methods are stressed. Processes covered are turning, milling, drilling, broaching, abrasive machining, finishing, numerical control as well as electrical and chemical machining. Theory is applied through actual machine operation in a laboratory setting.  

Fundamentals of manufacturing safety and health are studied to provide manufacturing engineers with the knowledge to effectively incorporate design solutions for health and safety considerations in the workplace. Human capabilities and limitations in the industrial workplace are also assessed and taken into account when implementing design solutions. Topics include machine guards, confined space protocol, accident losses, prevention, liabilities and the Workplace Safety and Insurance Board by-laws, the New Brunswick Occupational Safety and Health Act, and related standards and codes. Also addressed are ergonomic issues such as the design of the workplace and environment, design of display and control systems, and human factors in expanding technology. 

This course introduces students to deterministic models and solution methods applicable to business problems. Topics such as linear programming, integer programming, network models, project scheduling, inventory models, multi-criteria optimization and application of software packages in solving management science problems will be covered. Credit cannot be counted for both INDT 3623 and BA 3623. 

This course introduces students to probabilistic models of management science. Topics such as stochastic models, probabilistic dynamic programming, queuing theory, simulation, stochastic inventory models, game theory and Markov processes will be covered. Credit cannot be counted for both INDT 3624 and BA 3624. 

This course introduces students to concepts, problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Topics such as information flow, operations strategy, product and process design, capacity planning, managing quality, managing inventory, forecasting methods, facilities planning, and location decisions will be covered. Credit cannot be counted for both INDT 3653 and BA 3653. 

This course is a continuation of INDE 3653 with an emphasis on contemporary developments in the field. Topics such as just-in-time, lean systems, supply chain management, resource planning, waiting lines, and operations scheduling will be covered. Credit cannot be counted for both INDT 3654 and BA 3654. 

The course covers the key elements of a supply chain and the effect of business decisions on supply chain performance. Activities within the supply chain include communication, inventory management, transportation, and the cooperation between buyers and suppliers. Credit cannot be counted for both INDT 3661 and BA 3661. 

This course provides an introduction to the essential concepts of management information systems. The course emphasizes the role of information systems in managing and improving contemporary business processes. How information technology and information systems can contribute to decision-making processes will also be considered. Topics will include business decision making, e-business, resource planning (RP), software and hardware, database and data warehouses, networks, enterprise architecture, supply chain management (SCM), capacity requirement planning (CRP), system security, and types of control. Credit cannot be counted for both INDT 3672 and BA 3672. 

General IE functions are introduced. Operation process charts, flow process charts, flow diagrams, worker and machine process charts, and gang process charts are considered as recording and analysis tools. Principles of motion economy and motion study are discussed for manual work design. Work measurement tools covered include predetermined time systems: MTM-1, MTM-2, MTM-3, Maynard Operation Sequence Technique (MOST) and introduction to computer-based MOST; time-study systems: fundamentals of continuous and snap-back techniques for stop-watch, datamyte and palm-pilots; and analytical systems: work sampling and standard data development. Student teams undertake an open-ended work-system design project that requires the integration and analysis of the topics covered. 

Teams of students develop professional level experience through a design project that incorporates fundamentals acquired in previous mathematics, science, engineering, and complementary studies courses. A final report and oral presentations are required. 

Principles of statistical quality control including control by variable and by attribute, construction and use of control charts for variables, fraction defectives and number of defects and use of standard plans, reliability, life cycle testing. This course incorporates a design project. 

Topics covered include production systems, flexible automation, computer-integrated manufacturing, group technology and cellular manufacturing, flexible manufacturing systems, assembly systems, materials and tools handling, robotics in manufacturing, principles of design for manufacture, process planning and concurrent engineering, as well as new trends such as lean, agile and re-configurable manufacturing systems. 

Simulation plays a critical role in the design, analysis and optimization of complex systems in most engineering disciplines. This course focuses on the simulation of discrete-event systems. Computer networks, manufacturing systems, clocked digital circuits and inventory systems are some examples where discrete-event simulation is widely used. Programming-based laboratory assignments will form a significant component of the course. 

This course provides an introduction to planning and design of production and manufacturing. Facility layout and location, material handling systems and equipment specifications, and Computer‑aided facilities planning will be covered.