Reliability and Risk Engineering and Management

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Federation University

Program Description

Maintenance and reliability engineering (MRE) is a powerful tool in managing assets to improve industrial profitability. It has surely never been more required with many physical assets required to be in service longer and to work better. Hundreds of engineers, managers and senior technical people from around Australia and the world, have increased their skills and capability by completing MRE postgraduate programs.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

The programs were designed for and are only offered by off-campus learning: there are no matching on-campus classes. Study materials are print-based, with web-enhanced delivery. Our Course Advisers are engineers from academia and industry, accessible via email. Students are expected to access our extensive Library resources in this field, with much on-line material available.

Normally, two courses are studied in a semester, but a lesser study load is possible. Courses are offered on a semester basis and mid-year entry is available. Each course requires about 150 hours of effort through the semester, but this does vary with the individual. Our programs are:

 Graduate Certificate in Reliability Engineering (4 courses)*
 Graduate Certificate in Maintenance Management (4 courses)*
 Graduate Diploma in Engineering Maintenance Management (8 courses)
 Master of Maintenance and Reliability Engineering (8 courses with BE**, 12 units for those advancing from the Graduate Diploma)

* Applicants with relevant experience who do not hold tertiary qualifications are welcome to study one or two courses on a fee-paying, not-for-degree basis. Completion of two courses with 65%+ average grades enables transfer with full credit for courses completed into the relevant Graduate Certificate, with the prospect of advancement into the Graduate Diploma, and likewise later into the Master’s degree.

** These applicants can customise their studies, and choose 7 courses, plus the mandatory project course: MREGC5008

Semester 1 course code and title

MREGC5001 Terotechnology and life cycle costs
MREGC5002 Maintenance management
MREGC5003 Industrial techniques in maintenance management
MREGC5004 Asset management techniques
MREGC5005 Quantitative techniques for asset management
MREGC5006 Condition monitoring and fault diagnosis
MREGC5007 Risk Engineering
MREGC5008 Maintenance & Reliability Engineering Project (Sem 1 offering only)
MREGC5101 Basic quantitative skills for reliability engineering
MREGC5102 Understanding reliability
MREGC5103 Advanced reliability
MREGC5104 Reliability applications

Contacts

Dr. Gopinath (Gopi) Chattopadhyay

Postgraduate Programme Coordinator Maintenance and Reliability Engineering
T +61 3 5122 8629 | M +61402 467 737

Email: g.chattopadhyay@federation.edu.au

Federation University Australia
Office 260 | Building 4N| Churchill
Northways Road, Churchill
PO Box 3191 Gippsland VIC 3841
T +61 3 5122 8629 | M +61402 467 737

For more information

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Vanderbilt University

Program Description

Multi-disciplinary Graduate Program in

Reliability and Risk Engineering and Management

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

Vanderbilt University’s multidisciplinary graduate program in reliability and risk engineering, analysis, and management was initially funded by the National Science Foundation under the IGERT initiative. The program has twenty faculty participants drawn from three different schools:

School of Engineering (all engineering departments),
Owen Graduate School of Management,
and the College of Arts and Sciences (Mathematics, Psychology, Economics).

Several prominent research groups in the campus participate in this unique graduate program, such as the

CRESP multi-university consortium on nuclear waste risk management,
Institute for Space Defense Electronics,
Institute for Software Integrated Systems,
VECTOR Transportation Research Center,
and the Vanderbilt Center for Environmental Management Systems.

Since 2001, 54 students have been enrolled in this graduate program, with 12 students at present. The 42 graduates so far include 32 Ph.D. and 12 M.S. students.

Research

The research theme consists of three inter-linked areas:

large systems reliability and risk,
device- and component-level reliability,
and uncertainty analysis methods.

The multidisciplinary graduate program emphasizes

use of modeling and simulation methods for reliability and risk assessment,
systematic integration of models and tools across disciplines,
and inclusion of economic, legal, regulatory, and social perspectives.

The research projects develop these methodologies for infrastructure, environmental, network, mechanical, aerospace, electronic, and business systems. The research projects have been funded by government agencies (NSF, NASA, FAA, DOD, DOE, DOT, NRC), national laboratories (Sandia, Los Alamos, Oak Ridge, Idaho), and private industry (Boeing, GM, Chrysler, Union Pacific).

Education

The educational goals are to broaden the training with multidisciplinary perspectives, enhance communication and knowledge transfer between multiple disciplines, embed information technology and high performance computing in coursework and research, and include economic, legal, regulatory, and social perspectives. The educational activities include multidisciplinary coursework and dissertation topics, laboratory rotations, industry and government laboratory internships, seminars, national workshops, case study discussions, training in professional communication and ethics. In addition to disciplinary and basic courses in probability, statistics and reliability, advanced graduate courses include: Probabilistic methods in engineering design, Advanced reliability methods, Engineering optimization, Risk and reliability case studies, Risk and reliability seminar, Detection and estimation theory, Environmental risk assessment, Operational risk management, Risk and Environmental Regulation, and Business risk management.

Contacts

Sankaran Mahadevan, Director
John R. Murray Sr. Professor of Engineering
Professor, Civil and Environmental Engineering, Professor of Mechanical Engineering
Box 1831-B, Vanderbilt University, Nashville, TN 37235, USA
Phone: (615)-322-3040; Email: sankaran.mahadevan@vanderbilt.edu
Program Website: www.reliability-studies.vanderbilt.edu

For more information

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https://www.hw.ac.uk/online/postgraduate/safety-risk-reliability-engineering.htm

Heriot Watt University

Program Description

Further information on our MSc/Diploma Distance Learning (DL) programmes in Safety, Risk and Reliability Engineering in the links below

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

Overview

Risk has become a key concept in modern society. Growing concern about the environment and a number of disasters have served to focus attention on the hazards and risks involved in a wide range of activities from offshore oil production to rail and air transport; from the design of football stadiums to the operation of chemical plants and environmental protection.

Today there is a wide range of techniques available to assess risk and reliability, both in relation to safety and in the wider sense. These techniques now underpin new legislation on safety and have relevance over a broad spectrum of activities, including environmental and other systems, where risk and reliability are key concerns.

The MSc/PG Diploma course in Safety, Risk and Reliability Engineering is designed to give a thorough understanding of these techniques and experience of their application to a variety of real-world problems. It aims to provide students with an understanding of safety, risk and reliability engineering in both a qualitative and quantitative manner, and to develop the skills to apply this understanding. The course will also introduce students to recent developments in analytical techniques, e.g. computer modelling of risk, reliability and safety problems.

If you are interested in our courses you can join our Linked In group Safety Courses at Heriot-Watt where you can link up with other applicants, current and previous students and potential employers. Applying to join needs approval from the group owner which may take a week or two.

Online learning

This course can be studied via Online Learning, ideal for those in employment or with other commitments, providing flexible study options that fit around work or family. View our How online learning works pages to find out more. It can also be studied on-campus full-time or part-time.

Course Content

The MSc/Postgraduate Diploma in Safety, Risk and Reliability Engineering, led by Dr Sandhya Patidar, is only available by attendance-free distance learning.

The degree comprises eight taught courses. Heriot-Watt Online students must first take exams in two courses of the degree, Human Factors Methods and Learning from Disasters. Based on the results from these courses students continue on the degree at MSc or at PG Diploma level.

All courses have written examinations and some have compulsory coursework elements. MSc students are also required to complete a Masters dissertation.

Students can opt to sit examination in any of the three semesters. If they wish to sit the exam for a course in other semesters, the course will be accessible in self-study mode with access to all learning materials and tutor support.

DEGREE STRUCTURE

Core

Sustainability for Construction Professionals
Data Analysis and Simulation
Human Factors Methods
Risk Assessment and Safety Management
Systems Reliability

Core

Fire, Explosions and Process Safety
Learning from Disasters
Safety, Risk and Reliability

Research Dissertation (Civil Engineering)

Contacts

If you have any further enquiries please do not hesitate to contact the Programme Leader (Dr Pauline Thompson p.thompson@hw.ac.uk) or our Distance Learning (DL) Team (SBEDLenquiries@hw.ac.uk) – you will need to register once only to write to this address.

For more information

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Norwegian University of Science and Technology

Program Description

NTNU offers a 2-years international MSc program in reliability, availability, maintainability, and safety (RAMS). To be admitted, students have to hold a BSc in a technical discipline. The whole program is 120 credits (in the European system) and the students have to take ten courses, each of 7.5 credits, write a project thesis (15 credits) and a master thesis (30 credits). The master thesis is usually written in cooperation with industry. Most of the courses are also taken as optional courses in several other study programs at NTNU. Some of our courses have up to 160 students.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

The RAMS Group is at the Department of Mechanical and Industrial Engineering, NTNU. With a consistent focus on research excellence and educational enrichment, the group has established itself as a notable contributor to both academia and industry. The group website is: https://www.ntnu.edu/mtp/research/rams.

The research activities of the RAMS Group are mainly related to

(i) System reliability and resilience analysis

(ii) Risk analysis and accident prevention

(iii) Maintenance planning and optimization

(iv) Security and sustainability of industrial systems

A main part of the research projects are related to the energy industries and public sectors, such as transportation and healthcare.

Course Offerings

The following course modules (7.5 credits) are offered as part of the international MSc program in RAMS:

Required courses:

TPK4120 Safety and Reliability Analysis
TPK5160 Risk Analysis
TPK4140 Maintenance Management
TPK5165 RAMS Engineering and Data Analytics
TPK5115 Risk Management in Projects
TPK5120 Elements of Model Engineering
TPK4450 Digitalized Solutions to Prognosis, Predictive Maintenance and Safety Analysis

Optional courses:

TTM4185 Security and robustness in ICT systems
TPK4186 Advanced Tools for Performance Engineering
TDT4127 Programming and Numeric
TPD4142 Design Thinking
TSOL425 Technology Management in Teams
SPRÅK3501Scientific Communication for Engineers
… and several more

Contact

Yiliu Liu
PhD, Professor
Director of RAMS International master program
Department of Mechanical and Industrial Engineering
Norwegian University of Science and Technology

Email: yiliu.liu@ntnu.no; Tel: +47 47 44 17 75
Webpage: https://www.ntnu.edu/employees/yiliu.liu

For more information

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by Fred Schenkelberg 2 Comments

Rutgers University

Program Description

One of the teaching and research thrust area of ISE faculty over the last thirty years is Quality and Reliability Engineering. The research deals with methods for quality improvements, design of experiments, on-line quality engineering for univariate and multivariate processes, automatic control, sensors and data analysis. It also deals with system reliability modeling, reliability optimization, accelerated life testing, software reliability, maintenance modeling and optimization. The faculty has published extensively in these areas.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

In the teaching area, the Industrial and Systems Engineering program offers an option in Quality and Reliability Engineering in cooperation with the Statistics department, prepares students with a specialty focusing on design of experiments, process control, reliability and quality management. The Quality and Reliability Engineering option requires 30 credits with at least 18 from the ISE program.

The program has extended its offering for undergraduate students in all engineering majors. This provides a student majoring in mechanical engineering for example to learn how to estimate and asses the reliability of the systems’ components. This course has been well received and students who take this course end up joining major defense companies such as Lockheed Martin, L3Harris and others.

MS Option in Quality & Reliability Engineering

The Quality and Reliability option, offered in cooperation with the Statistics department, prepares students with a specialty focusing on design of experiments, process control, reliability and quality management. The Quality and Reliability Engineering option requires 30 credits with at least 18 from the ISE program.

Required Courses

540:560 Production Analysis
540:585 Systems Reliability Engineering I
540:685 Systems Reliability Engineering II
540:580 Quality Management
960:540 Statistical Quality Control I
960:542 Life Data Analysis
960:590 Design of Experiments

Optional Courses

540:680 Production and Quality Engineering
540:690 Component Reliability
540:586 Maintenance Modeling and Optimization
540:594 Risk Analysis and Mitigation
540:595 Software Reliability I
540:695 Software Reliability II

Contacts

Dr. E. A. Elsayed
Industrial and Systems Engineering
Rutgers, The State University of New Jersey
96 Frelinghuysen Road
Piscataway, NJ 08854-8018
Phone (732) 445-3859 or 3654
Fax (732) 445-5467
elsayed@rci.rutgers.edu

Industrial and Systems Engineering Website Address: http://ise.rutgers.edu

For more information

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Georgia Tech

The H. Milton Stewart School of Industrial and Systems Engineering includes a MS and Ph.D. program for Applied Statistics, including a specific focus on manufacturing statistics, reliability and quality control.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

The System Informatics and Control program within ISyE features classes in

systems modeling and informatics, and control,
prognostics and performance monitoring,
quality and reliability,
and industrial statistics.

Along with a course in Reliability Theory, students are offered an assortment of applied classes that feature

System Reliability Modeling and Planning,
Accelerated Life Testing,
Design and Analysis of Industrial Experiments,
Data Mining,
System Monitoring and Prognostics,
and Manufacturing Systems Design & Improvement.

Several ISyE faculty members have made important contributions to reliability research, including professors

Nagi Gebraeel,
Paul Kvam,
Jye-Chyi Luand
and, Jianjun Shi.

Visit our school

Visit our school webpage at http://www.isye.gatech.edu/

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Beihang University

School of Reliability and Systems Engineering

Beihang University

The school was founded in 1985, now have more than 220 people include 120 full-time teaching and research staff, 30 part-time experts and visiting professors, 70 engineers for reliability test of software, component and equipment. It is the biggest research group focus on reliability related area in the universities of the world, including two departments and three research centers.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

Education: over 200 under-graduates, 360 graduate students (60 PhD students).

Research: more than 100 scientific research and hi-tech programs every year, including common concerns and basic research programs on defense technologies. The programs cover Reliability, Safety, Maintainability, Testability, PHM and Supportability, Quality, Risk Management and so on, receiving more than one hundred million RMB per year from the government or industry.

Engineering: amount of test projects from varies industry, especially for aviation and aerospace, such as software test, components quality test and equipment environmental test.

Consultation: strategic proposal and policy about quality and reliability related area for Chinese government and industry.

Courses for master students:

Goals of training students: mastering the fundamental concepts and theory of Reliability, Durability, Adaptability, Maintainability, Testability, Supportability and Safety; researching on the target of complex system and products; applying the System Engineering theory and technology to entire life cycle; conducting the demonstration, design, analysis, test, verification, manufacture, warranty, operation and supporting of related work on system or products.

Engineering Design Theory and Method	System Health Monitoring Technology
System Reliability Modeling and Simulation	Supportability Analysis Technology
Mechanical Products Reliability Analysis	Software Safety Engineering
Electronic Products Reliability Analysis	Embedded Software Testing Technology
Human Factor Reliability Engineering	Dynamical Environment Test and Analysis
Network Reliability Introduction	Accelerated test technology
Testability Modeling and Analysis	Modern Quality Management

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Southern Methodist University

Program Description

The SMU Systems Engineering Program (SEP), unique by design, has been developed in response to the growing need by industry and government for engineers who are not only specialists in a particular area, but who have a systems perspective in order to more effectively practice engineering and manage within the business enterprise.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

The program offers flexibility for:

systems engineers who are entering the field, updating skills or acquiring new skills,
engineers who need to acquire a broadening of their technical and management education from a systems perspective,
engineers with upper-level management aspirations, and (4) engineering students seeking to increase their market value by acquiring knowledge and skills necessary for engineering of products and services from a systems perspective.

In addition,

SMU’s Systems Engineering Program is designed to build on your engineering/technical education and experience to broaden your exposure while developing your problem definition and problem solving skills. The program is intended to fill a niche between core engineering specialization and a business program.

We have a growing program, evolving in response to industry and government needs.
Students learn from faculty with extensive industry experience and systems-engineering practice.
SMU Lyle offers a variety of convenient delivery options to fit your job & personal lifestyle.
The program provides life-long access to systems engineering technology resources through the Student and Alumni Council of the Alliance for Systems Engineering Education.

Contacts

Dr. Jerrell Stracener,
Department of Engineering Management,
Information, and Systems, 214-768-1535

For more information

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University of West of Scotland

Program Description

PgD / MSc in Quality Management

The University of The West of Scotland Quality Centre is an internationally renowned Centre which offers post graduate taught and research programmes in Quality Management as well as training, consultancy and short courses for industry.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

Our close links with commerce and industry ensure that our courses reflect the latest in quality thinking and techniques, and our laboratories have industry-standard equipment.

The programme is designed for those who wish to pursue a programme of study in Quality Management. The MSc in Quality Management aims to provide the student with a better understanding of modern developments within this area to the mutual benefit of the student and employers. The Postgraduate Diploma and the MSc Quality Management are accredited by the UK Chartered Quality Institute.

The educational aims are to:

Develop critical problem-based learning skills and transferable skills to prepare the student for employment in a professional position dealing with quality management systems development and implementation.
Enable the student to develop an enquiring, analytical and creative approach to achieving business excellence through continuous improvement.
To develop and encourage independent judgment and critical awareness in the management of quality
Assist the student to develop the skills required for both autonomous practice and team-working.
Guide the student in developing an independent approach to a research topic, investigating a topic and presenting the findings in a form that is suitable to a post-graduate level degree

Core Modules

Managing Quality (10 credits)
Statistical Quality Control (20 credits)
Software Quality Technology (10 credits)
Strategic and Risk Management (10 credits)
Interpersonal Skills and Change Management (10 credits)
Management Systems (20 credits)

Optional Modules

Reliability and Experimental Design for Industry (20 credits)
Quality in Design (10 credits)
Operations and Project Management (20 credits)
Service Quality (20 credits)

Postgraduate Diploma in Quality Management – 120 credits

MSc in Quality Management – 120 credits plus 60 credit project.

Contacts

Michele Cano
UWS Quality Centre
Faculty of Science and Technology
University of The West of Scotland
Paisley PA1 2BE
UK
Phone 00441418483000

michele.cano@uws.ac.uk

For more information

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University of Toronto

Program Description

Centre for Maintenance Optimization and Reliability Engineering (C-MORE)

The Centre for Maintenance Optimization and Reliability Engineering is directed by Professor Andrew K.S. Jardine within the Department of Mechanical and Industrial Engineering at the University of Toronto.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Summary

C-MORE’s research is driven by close interactions with industry, in particular with MORE consortium members and with researchers at universities world-wide. Our focus is on real-world research in engineering asset management in the areas of condition-based maintenance, spares management, protective devices, maintenance and repair contracts, and failure-finding intervals. These strong industry connections not only benefit the companies we work with but also our graduate students, who find work in maintenance divisions of industry leaders after graduation.

C-MORE website: http://cmore.mie.utoronto.ca/

Graduate Program in Mechanical and Industrial Engineering

Overview

The Department of Mechanical and Industrial Engineering accepts qualified applicants for study in a wide range of topics, spanning the breadth of mechanical and industrial engineering, including applied mechanics, robotics and manufacturing; biomedical engineering; computer aided design and materials engineering; energy studies, thermodynamics and surface science; environmental engineering; fluid sciences; information systems and enterprise engineering; operations research; and human factors/ergonomics.

The Master of Applied Science degree program provides students with an opportunity to pursue research-intensive advanced studies in a particular field of interest.
The Master of Engineering degree program is designed for students preparing for advanced professional activity; it is not a research-oriented degree.
The Doctor of Philosophy degree program is for students anticipating a career in which they will be performing or directing research at the most advanced level.

Master of Applied Science

Minimum Admission Requirements

Applicants must normally have a minimum average of B+, or equivalent, in each of the final two years of an accredited four-year undergraduate program in engineering or a closely related field.
Applicants are also assessed on publications, work experience, the school and program to which each previous degree pertains, evidence of exceptional communication skills, references, and the availability of financial resources, space, and suitable supervision.

Program Requirements

At the beginning of each student’s program, a professor in the Department will be identified as the supervisor who will guide the student in the research program and selection of courses.
For students with an adequate undergraduate background, the program will normally consist of 2.5 full-course equivalents (FCE) and a thesis.
MASc students are required to participate in the non-credit seminar course JDE 1000H during their first or second session of registration.
MASc students, in their first year of study, are required to attend at least 70% of seminars that are part of the MIE Seminar Series. MASc students who complete the requirement will receive credit for SRM 3333Y
Master’s Seminar Series.
Normal Program Length
6 sessions (full-time)

Master of Engineering

Minimum Admission Requirements

Applicants must normally have a minimum average of B+, or equivalent, in each of the final two years of an accredited four-year undergraduate program in engineering or a closely related field.Applicants are also assessed on publications, work experience, the school and program to which each previous degree pertains, evidence of exceptional communication skills, references, and the availability of financial resources.
Applicants are also assessed on publications, work experience, the school and program to which each previous degree pertains, evidence of exceptional communication skills, references, and the availability of financial resources.

Program Requirements

5.0 full-course equivalents (FCE) or 3.5 FCE plus a supervised project. A majority of the courses must be taught by the Department of Mechanical and Industrial Engineering.
The program may be taken on a full-time or part-time basis.
Normal Program Length
3 sessions (full-time); 6 sessions (part-time)

Doctor of Philosophy

Minimum Admission Requirements

Admission to a PhD program is reserved for those who are able to present evidence of superior academic and research ability. Students may be admitted to the PhD program via one of three routes:

Master’s degree. Appropriate University of Toronto master’s degree, or its equivalent from a recognized university, with a minimum B+ average.
Direct entry. Exceptionally strong applicants with a University of Toronto bachelor’s degree or equivalent and an appropriate background may apply directly to the PhD program. Applicants are advised to consult the Graduate Coordinator before applying to ensure that they possess the appropriate admission requirements for direct entry.
Transfer. Very strong MASc students may apply to transfer to the PhD program after completing only one year of the MASc program.

Program Requirements

At the beginning of each student’s program, a professor in the Department will be identified as the supervisor and will guide the student in the research program and selection of courses.
Minimum departmental standards in course work: students with a master’s degree normally are required to complete 2.5 full-course equivalents (FCE) and a thesis.
Direct-entry students admitted with a bachelor’s degree are required to complete 4.0 FCE plus a thesis. Transfer students must complete a total of 4.0 FCE plus a thesis.
Students are required to participate in the non-credit seminar course JDE 1000H during their first or second session of registration.
PhD students in their first and second years of study are required to attend at least 70% of seminars that are part of the MIE Seminar Series. PhD students who complete the requirement will receive credit for SRD 4444Y Doctoral Seminar Series.
Each PhD student must pass a qualifying examination, a seminar presentation, additional annual progress meetings, the departmental PhD examination, and the SGS PhD final oral examination.
PhD students are required to be on campus full-time unless special permission is obtained for off-campus study.

Normal Program Length

4 years (full-time PhD); 5 years (transfer or direct-entry)

Courses in Mechanical and Industrial Engineering

Note: Courses vary from year to year.

See: http://www.mie.utoronto.ca/graduate/courses/

Operations Research
MIE 1603H Integer Programming
MIE 1605H Stochastic Processes I: Introduction to Stochastic Processes
MIE 1606H Queueing Theory
MIE 1607H Stochastic Processes II: Modeling and Optimization
MIE 1609H Multiple Criteria Decision Making
MIE 1613H Discrete Event Simulation
MIE 1615H Stochastic Dynamic Programming
MIE 1616H Healthcare Management
MIE 1619H Constraint Programming and Local Search
MIE 1620H Linear Programming and Network Flows
MIE 1621H Nonlinear Optimization
MIE 1699H Special Topics in Operations Research
MIE 1721H Reliability
MIE 1723H Engineering Maintenance Management
MIE 1727H Quality Assurance I
MIE 561H Healthcare Systems
MIE 562H Scheduling
MIE 566H Decision Analysis

Contacts

Web: www.mie.utoronto.ca/contact/grad.php
E-mail: grad.admission@mie.utoronto.ca
Telephone: 416- 978-8823
Fax: 416-978-3453
Snail Mail:Department of Mechanical and Industrial Engineering
University of Toronto
5 King’s College Road
Toronto, Ontario M5S 3G8
Canada

For more information

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Texas State University

Program Description

Texas State University, research in reliability engineering has three focal areas:

1) service parts logistics optimization;
2) demand side management for smart grids; and
3) distributed generation planning.

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]Overview

Under the performance-based contracting framework, research in service parts logistics leverage stochastic programming to develop efficient, yet cost-effective, supply chain systems to support the sustainment and operational readiness of capital-intensive equipment such as wind turbines and aircraft for private and public industries, respectively. Research on smart grids concentrates on the reliability and stability of power delivery and consumption by developing novel demand side management technologies. Such technologies include, but not limit to, virtual energy provisioning systems, deployment of smart metering infrastructures, and real-time power quality management system. Research on distributed generation systems focuses on the decision on the optimal sizing and placement of distributed energy recourses, such as wind turbines and solar Photovoltaics, across the distribution network with the objective to maximize energy reliability and minimize the life cycle cost. These research activities are carried by Drs. Tongdan Jin, Stan McClellan, Clara Novo, and Jesus Jimenez along with research students in SMART Lab, Telecommunication Lab, CHiPS Lab and in the Ingram School of Engineering at Texas State University.

Contacts

Tongdan Jin
Ingram School of Engineering
601 University Drive
Texas State University
San Marcos, TX 78666
Phone: (512)-245-4904
email: tj17@txstate.edu

For more information

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University of Maryland

Program Description

Online Master’s degree in Reliability Engineering

Online Graduate Certificate in Engineering in Reliability Engineering

[show_to accesslevel=”free” no_access=”login to view program details ⇒”] Overview

The University of Maryland’s Reliability Engineering Graduate Program is one of the world’s largest and most comprehensive concentration of education and research activities in risk, reliability, and safety of engineered systems and processes. The Reliability Engineering Program offers both Masters (M.S.) and Ph.D. degrees.

The A. James Clark School of Engineering’s graduate Reliability Engineering Program is the largest and most comprehensive program in the field of reliability and risk analysis of engineered systems and processes. The program is offered by the University of Maryland’s Center for Risk and Reliability (CRR). Created in 1985 as the umbrella organization for the risk and reliability research and development activities at Maryland, CRR includes numerous research laboratories with extensive state-of-the-art equipment. Research covers a wide range of subjects involving systems and processes, including predictive reliability analysis; probabilistic and quantitative risk analysis; advanced probabilistic inference methods; system-level health monitoring and prognostics; human reliability analysis methods; and machine learning. The center is housed administratively in the Department of Mechanical Engineering, which is ranked in the top 20 nationally by U.S. News & World Report, and admits students from all engineering disciplines and physical and mathematical sciences.

Learn more at http://enre.umd.edu.

Contacts

Contact Dr. Katrina Groth megrad@umd.edu for more information.

For more information

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University of Arizona

Program Description

Master of Science Degree in Industrial Engineering
with a Quality & Reliability Engineering Option

Online Graduate Certificate in Reliability and Quality Engineering

[show_to accesslevel=”free” no_access=”login to view program details ⇒”]

Overview:

Quality and reliability engineering provides the theoretical and practical methodologies to improve the capability of systems to perform their designated functionalities, to predict the probability of their functioning without failures in certain environments for desired periods, to assess their maintainability, availability and safety based on sampled data, and to make decisions on corrective and mitigation actions.

The Master of Science in Industrial Engineering with Quality & Reliability Engineering option prepares students with formal training for career opportunities in quality and reliability engineering involved in product development, engineering design, manufacturing process control, and service realization. This program offers specialty focusing on basic engineering and statistics principles as well as advanced tools focusing on design of experiment, statistical process control and reliability engineering, which can be deployed in a wide range of industrial and business settings. Students formally trained can also independently develop novel solutions to problems that are unique to specific environment.

Employment Opportunities:

The demands from industry and government agencies for formally trained Quality and Reliability Engineers are increasingly high. This program will prepare graduates for a wide spectrum of career opportunities in aerospace, technology, environmental, and medical industries as well as manufacturing facilities.

Contacts

Jian Liu, Ph.D.
Assistant Professor,
Engineering Building, Room 268
Department of Systems and Industrial Engineering
The University of Arizona
Tucson, AZ 85721
1-520-621-6548 (Office)
1-520-621-6555 (Fax)
http://www.sie.arizona.edu

Haitao Liao, Ph.D.
Associate Professor
Engineering Building, Room 310
Department of Systems and Industrial Engineering
The University of Arizona
Tucson, AZ 85721
1-520-621-6559 (Office)
1-520-621-6555 (Fax)
hliao@email.arizona.edu
http://sie.engr.arizona.edu/

For more information

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