This course is designed to provide the engineering student with the decision making skills necessary to evaluate the monetary consequences of the products, processes, and projects that engineers design. As the capital outlays may be significant and affect the productive potential of a firm over the long term, it is important to understand the time value of money. The course emphasizes on present value, future worth, internal rate of return, after tax cash flow analysis, and replacement analysis. In addition the students will use computer spreadsheet to do sensitivity, break even, and risk analysis.
Operations Research I
Philosophy and techniques of Operations Research. Emphasis on elementary model building and concepts of optimization. Structure of problem solving; linear programming, transportation and assignments algorithms; game theory; network analysis, branch and bound theory.
Engineering Statistics II
Application of statistical techniques to industrial problems; relationships between experimental measurements using regression and correlation theory and analysis of variance models; design of experiments with one and more than one levels; emphasis on inherent variability of production processes; control chart techniques and the use of exponential and Weibull models in reliability analysis; statistical process control.
Operations Research II
Advanced Linear Programming; Integer Programming; Dynamic Programming; Decision Analysis; probabilistic models of operations research; queuing theory and simulation; Meta heuristics; and network optimization models.
Procedures and rationale for planning, designing and implementing computer simulation experiments used to analyze human-machine systems in engineering, business and social sciences.
Manufacturing Quality Control
The course covers the methods used for statistical quality control, capability analysis, monitoring and improvement. Students will learn the techniques, as well as the software available (Minitab, Excel and SPSS) required to implement these techniques.
Production Planning and Control
This course covers several techniques that focus on operations management within any type of organization; such as service, health care, manufacturing, or financial institutions. The topics include forecasting, inventory management, production systems –MRP, JITCONWIP, aggregated workforce planning, production scheduling, and supply chain management etc.
This course focuses on implementation of continuous process improvement within an organization. There purpose of the course is to provide the students with a comprehensive treatment of different tools employed successfully by industries for creating value while eliminating waste (non-value added activities). The course includes lean thinking, value stream mapping, cellular manufacturing, cycle time reduction, Kaisen training, Kanban production systems, and six-sigma.
Supply Chain Modeling and Analysis
The course provides a broad introduction to many critical facets of supply chain. Students in this course will apply industrial engineering tools learned through the curriculum to design, analyze and optimize the supply chain such as, mathematical optimization, inventory management, transportation and network location, facilities planning and material handling. Then, more advanced topics are interrelated such as the value of information sharing in the supply chain, customer value, strategic alliances, international issues and decision support systems.
Facilities Planning and Material Handling
Physical organization of work places and departments to optimize objectives such as material movement, safety and worker satisfaction. Review of ISE methods for work place design and productivity measurement and economic decision-making. Computer solutions for layout problems and mathematical models for location problems. Analysis and design of material handling, warehousing, and distribution systems.
Senior Design Project I
This course exposes the students to a series of real-world industry problems that require applications of Industrial Engineering principles. A preliminary analysis of various selected problems will be performed collectively. The students will then form a team and select their senior design project. The course also covers topics (trough out invited speakers) related to the engineering profession such as ethics, intellectual property, project management, and social responsibility. Students will present a written and oral proposal of their senior design project preparation.
Senior Design Project II
Applications of engineering principles to solve a real-world problem. Student works as a member of a team assigned to a problem in manufacturing, processing, service, or government organization. The capstone senior design project will consist of a project that builds on engineering, business, ethics and social issues. Requires a professional written and oral report and this course will serve as the program‘s major written intensive course.