Brief Description of Industrial Eng. Ph.D Courses

• IE 611 ( Advanced Topics in Statistical Engineering )

Advanced topics in statistical engineering such as the following: SEM family tree, Data preparation and screening, structural models with observed variables and path analysis (recursive models), structural models with observed variables and path analysis (non-recursive models, multiple group analysis), measurement models and confirmatory factor analysis, mean structures and latent growth models, and hybrid models with structural and measurement components.

 

 

• IE 612 ( Advanced topics in Industrial optimization )
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Advanced topics in Linear Programming, Decomposition method, Column generation method, Interior point algorithm, Convex and non-convex optimization, Convex optimization, Non-convex optimization, Quasi-convex optimization, Topics in discrete optimization: TSP, QAP, VRP, Bin-Packing, Network models.

 

 

• IE 613 ( Approximation Methods in Optimization )
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Constructive Heuristics, Local Search, Metaheuristics, Evolutionary Algorithms, Optimization-Based Heuristics, Polynomial Time Approximation Schemes.

 

 

 

• IE 614 ( Reliability and Maintainability Engineering )
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Reliability analysis of dynamic systems, analysis of dependent failures, reliability of repairable systems, human reliability analysis methods and theory of logic diagrams and application to systems reliability; advanced maintainability analysis and systems effectiveness; reliability and maintainability concepts in conceptual, development, production, and deployment phases of industrial products; costing of reliability, methods of obtaining approximate reliability estimates and confidence limits; methods of reliability testing; current research and developments in the area of reliability and maintainability engineering.

 

 

• IE 615 ( Advanced topics in quality engineering )
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Modern trends in assessment of quality; strategic quality management, Quality management techniques including: Total quality management, Kaizen technique, and ISO 9000, six-sigma methodology and its applications, ISO 9000 quality management system standards and their applications; Advanced applications techniques on continuous improvements and quality management.

 

 

 

• IE 620 ( Stochastic Modeling )
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Renewal processes and Applications, Discrete and Continuous-Time Markov Chains, Markovian decision processes, Algorithmic Analysis of Queuing Models.

 

 

• IE 621 ( Supply Chain Management )
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Supply chain network design including raw material (RM), work in process (WIP), final good (FGI), and Spare parts Management; Assembly systems management; Modeling the Integrated production, inventory and distribution problems.

 

 

• IE 622 ( Distribution and Logistics Systems )
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Modeling and optimizing distribution problems including: Traveling Salesman Problems (TSP), Vehicle Routing problems (VRP), and Capacitated Arc Routing Problems (CARP); Application studies of various types of distribution and logistics; Analysis and design of distribution and logistics systems.

 

 

• IE 623 ( Advanced Applications in Industrial optimization )
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Advanced algorithms including: Newton method, Modification of Newton's Method, Quasi-Newton method, Gradient method, Levenberg-Marquardt and Trust Region Methods, Sub gradient Optimization Methods, Steepest ascent method; Combined algorithms; Penalty and barrier methods; Methods of Feasible Directions.

 

 

• IE 624 ( Advanced Topics in Industrial Operations Management )
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New trends in Production management Systems and structuring operation systems including: Manufacturing Resource Planning (MRP), Just-in-time (JIT), and Optimized Production Technology (OPT).

 

 

• IE 625 ( Scheduling of Industrial Operations )
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Optimization algorithms, algorithm convergence; Advanced Shop Scheduling; Advanced Multiprocessor Scheduling; Scheduling Flexible Manufacturing Systems; Resource Constrained Project Scheduling; Multi-criteria Scheduling; Cyclic Scheduling.

 

 

• IE 630 ( Safety System and Accident Analysis )
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Procedures for conducting and understanding of accident investigation techniques; recent procedures followed after accidents; dealing with emergencies; developing emergency and evacuation plans; accident cost analysis; keeping accident records; control of hazardous substances and processes, and the protection of the worker.

 

 

• IE 631 ( Advanced Human Factors Applications )
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Application of current human factors engineering principles in the workplace including facility and work status; material handling; work place exposures and protection, and production operations. Human Factors input into manned-system design, development, testing, and evaluation. Emphasis will be on the systems approach to human-machine interfacing, with discussion and application of specific methodologies and analytical techniques. The course will allow students to apply human factors applications to industrial and commercial settings. The course will also An examine human attributes which may be reduced in disabled persons and which change with the aging process, and of the associated needs regarding work procedures and equipment with respect to the design of the domicile and of care facilities. Human Factors requirements for aids in transportation (individual and mass), personal hygiene, and environment are also topics of this course.

 

 

• IE 632 ( Human-Machine Systems )
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Various aspects of human interaction with systems for simple system (hand tools) and complex system (piloting an aircraft); An examination of human reception, information processing, and skilled performance capabilities and limitations in human-machine systems with an emphasis on models and techniques including psychophysics, signal detection theory, information theory, and decision theory.

 

 

• IE 633 ( Human Performance and Behavior )
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Applications of human performance and behavior: This course will also demonstrate how successfully managing human performance and behavior in the workplace that enhance organizational behavior and improve work conditions. Tools and techniques used to measure human performance are also discussed in this course. The tools include observational methods, direct methods, surveys, body maps, and self report on physical work load.

 

 

 

• IE 634 ( Occupational Biomechanics )
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Application of engineering static and dynamics in determining biomechanical stresses on human in work environment ; anthropometric measurement methodologies; determination of physiological stresses during work. The course also covers the structure and biomechanics of bone, cartilage, and skeletal muscle; dynamics and control of musculoskeletal system models. Physical exposure assessment techniques are also covered in the course such as observational methods (pen-paper based observational methods, videotaping and computer-aided observational methods), direct methods (posture assessment, postural strain or local muscle fatigue assessment), and Self-report on physical work load.

 

 

 

• IE 635 ( Advanced Methods Design and Work Measurement )
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Design of work systems. Methods and techniques employed in measuring work. Current philosophy underlying improvement in work methods and procedures used to measure work perform. Task analysis, personnel selection and training, job and organization design, and criteria development and use. Human factors related to job design in order to increase job satisfaction and productivity. Details of work sampling, predetermined time systems, and standard data development. effects of machine interference, machine pacing and fatigue on allowances, and statistical aspects of work measurement. Recent advances in work methods and measurement.

 

 

 

• IE 650 ( Advanced Computer Integrated Manufacturing (CIM))
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Advanced integration of manufacturing systems including: cellular manufacturing systems; Flexible Manufacturing Systems (FMS); industrial robots; Automated Material Handling Systems (AMHS); Automated Storage/ Retrieval Systems (AS/RS); modern integration of manufacturing systems functions; development of CIM structure and modern trends in enterprise Resources Planning (ERP).

 

 

• IE 651 ( Manufacturing Systems Engineering )
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Advanced applications in performance of manufacturing systems including: flow line manufacturing systems; assembly systems, flexible systems. Modern methods for planning and designing intelligent manufacturing systems, and manufacturing systems layouts.

 

 

• IE 652 ( Advanced Manufacturing Technology )

Methods and methodologies of development and selection of Advanced Manufacturing Technologies (AMT). Application of AMTs in inspection and testing products. Modern programs in design, manufacturing and engineering analysis. Rapid prototyping, visual, and augmented technologies.

 

 

• IE 653 ( Advances in Automation of Manufacturing Systems )
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Research topics in developing and design manufacturing system automation; Manufacturing system including process control, adaptive control and automatic data capture; Development of intelligent control system structure.

 

 

• IE 654 ( Advanced Topics in Manufacturing Processes )
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The new trends in manufacturing processes including: non-traditional manufacturing processes; micro and nano-manufacturing processes; advanced design of manufacturing processes; design for manufacturing; design for assembly.

 

 

• IE 655 ( Manufacturing Strategies )
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Modern manufacturing strategies; lean and agile manufacturing; new classifications of manufacturing systems; concepts and methodologies of analysis and design of manufacturing systems (conceptual modeling; information modeling ; Petri Nets; Knowledge-Based Systems KBS, Computer Simulation) , new trends in designing of manufacturing strategies.

 

 

• IE 700 ( Doctorate Thesis )