Industrial Engineering 6030 3 credits
Production and Operations Analysis
Tools and techniques associated with planning and controlling production environment, including forecasting, aggregate planning, master production scheduling, materials requirement planning, and shop floor control. Integrated aspects of manufacturing resource planning and enterprise resource planning, as well as the effects of just-in-time management and theory of constraints are also examined.
Industrial Engineering 6830 3 credits
Cost and Value Analysis
Introduction to cost estimating and value engineering; detailed analysis of labor and materials; basic principles of accounting and forecasting; preliminary and detail methods; operation, product, project and system estimating; estimate assurance and contract considerations. Applications of engineering valuation. Basic principles of function analysis.
Industrial Engineering 7430 3 credits
Quality Engineering and Management
Perspectives on quality. Global quality. Quality awards. Quality planning. Voice of the customer and the market. Quality of products, processes, and services. Managing supplier quality. Quality system standards and implementation.
Quality audits. Quantifying opportunities for quality improvement. Forming a team to make improvement. Analyzing the measurement system and quantifying gage repeatability and reproducibility. Identifying key process input variables(KPIV) and key process output variables (KPOV).
Use of the seven basic quality tools to analyze the problem. Use of the seven quality planning tools. Analysis of processes and comparison of alternatives using statistical methods. Process capability indices and methods of quantifying process variation.
Six sigma quality level. Quality function deployment (QFD). Failure modes and effects analysis (FMEA). Design of experiments and Taguchi methods. Statistical process control and control charts. Mistake proofing. Reliability testing and analysis. Design for six sigma.
Application of Minitab 13 software for statistical analysis of quality data. Solving quality engineering problems dealing with all the above topics using Minitab. Exercises and case studies will reinforce basic concepts and provide experience in quality engineering and management.