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.
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. 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. 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. 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. The normal program length is 6 sessions (full-time).
The Master of Engineering degree program is designed for students preparing for advanced professional activity; it is not a research-oriented degree. 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. The program requirements are 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. The normal program length is 3 sessions (full-time); 6 sessions (part-time)
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. 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: (1) Master’s degree - appropriate University of Toronto master’s degree, or its equivalent from a recognized university, with a minimum B+ average; (2) 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; and (3) Transfer - very strong MASc students may apply to transfer to the PhD program after completing only one year of the MASc program. 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. 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. The normal program length is 4 years (full-time PhD); 5 years (transfer or direct-entry).
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;
Web: www.mie.utoronto.ca/contact/grad.php; E-mail: firstname.lastname@example.org; Telephone: 416- 978-8823; Fax: 416-978-3453; Postal Department of Mechanical and Industrial Engineering, University of Toronto, 5 King’s College Road, Toronto, Ontario M5S 3G8, Canada