Courses

MEC 8144-Advanced Reliability Modeling

The purpose of this graduate course is to present statistical and analytical approaches to reliability engineering as well as maintenance optimization.In the first part of the course, students will be introduced to reliability functions, reliability distributions, analysis of failure data, component and system reliability, design for reliability, common mode and common cause failures, system availability, stress-strength analysis, and FMEA. The focus of the second part of the course is placed on the methodology to model, construct, solve and interpret various maintenance decision problems including component replacement, inspection frequency, condition-based maintenance, and maintenance resource requirements.

IND 832/MEC 832-Reliability and Decision Analysis

AThe purpose of this course is to present analytical approaches to reliability engineering, decision analysis and risk assessment. In the first part of the course, students will be introduced to reliability functions, reliability distributions, analysis of failure data, reliability of systems, design for reliability, maintenance, reliability testing. The focus of the second part of the course is placed on the methodology to model, construct, solve and interpret various decision problems. Decision tree, value of information, risk assessment, utility theory, and multiple objective decision-making will be presented.

IND 605- Experimental Design and Quality Assurance

The objective of this course is to introduce students to the design of experiments as well as statistical quality control. Topics on experimental design include single-factor experiments, block designs, factorial designs, 2-factor experiments and Taguchi's approach to parameter design. Topics on quality control include product flow chart, cause-effect diagram, Pareto Analysis, statistical process control, acceptance sampling and Taguchi's approach to quality.

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