Logistics Engineering – System Engineering Courses

Students in this program are required to take 4 courses from the following list:

Credits: 3  
Description: Fundamentals of TQM and its historical development. Integration of QC and management tools, QFD, benchmarking, experimental design for scientific management.
Credits: 3  
Description: This course examines quality control from an engineering standpoint. It covers ways to meet the challenge of designing high quality products and processes at low cost.
Description: The use of financial techniques and data in planning, controlling and coordinating industrial activities. This course will familiarize the student with accounting concepts and analytical methods.
Description: The design of an industrial enterprise including feasibility, plant layout, equipment specifications, auxiliary services, economics and scheduling.
Description: Simulation Methodology; design and implementation of models of engineering systems using computer software; case studies
Description: Overview of OR techniques. Manufacturing system and product selection. Shop loading, resource allocation, production scheduling, job sequencing, and plant layout problems. System performance evaluation.
Description: Formulating and solving decision-making problems with discrete decision variables. Methods to solve large-scale integer/mixed-integer models.
Description: This course covers entire phases of project management including selection, planning, budgeting, scheduling, monitoring, and control. It focuses on the management of engineering projects through case studies and independent research assignment.
Description: Formulating and solving decision-making models with uncertain data. Exact and approximation techniques for large-scale stochastic models.
Description: Advanced simulation techniques with a focus on practical systems modeling using several user-oriented simulation languages. Projects involving design of high performance simulation programs are required.
Description: Deterministic and stochastic network flow analysis; minimal cost flow, shortest route, max-flow, and out-of-kilter algorithms; constrained network analysis; and stochastic queuing networks.

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