The mission of the program in industrial and systems engineering is
to provide high quality education to graduate students and to conduct
research, often in collaboration with industry and other disciplines,
to advance the state of knowledge and practice in the field of
industrial engineering.
The program aims to ensure that each
student is educated in mathematical and scientific principles and at
the same time is knowledgeable and confident to implement these
principles to solve relevant engineering problems in industry and the
public sector.
For doctoral students, we provide specialized
training to prepare students to become capable independent researchers,
and to be leaders in both the academic and industrial communities.
The department focuses its research in areas of critical importance to
national competitiveness and productivity: modeling and systems
engineering, production and manufacturing engineering, and quality and
reliability engineering. Both the curriculum and laboratories are
designed to support these research focuses.
In the modeling
and systems area, projects are underway in supply chain and logistics
engineering. In the aviation research areas, faculty members
investigate and recommend policies on air traffic separation standards
and aircraft inspection. Using simulation and analytic tools, projects
are in progress in the areas of performance modeling of client-server
computer networks, manufacturing systems performance, port operation,
and modeling of intelligent transportation systems.
Research
in the production and manufacturing engineering area is conducted at
both the systems level and the machine level. Faculty members
investigate problems and implement solutions in production planning and
control; performance modeling of production systems; manufacturing
process validation; computer- integrated manufacturing; automation;
real-time machine control; and manufacturing processes such as laser
micromachining, layered manufacturing, and sheet folding technologies.
In quality and reliability engineering, research is conducted and
solutions are implemented in the areas of online process control,
offline quality improvement through designed experiments, multivariate
statistical models, stochastic control, reliability optimization,
component and systems reliability, accelerated life testing, software
reliability, data acquisition and analysis, maintenance models, and
warranty estimation.
Industrial and systems engineering offers
programs leading to the master of science and doctor of philosophy
degrees. The Ph.D. degree requires a minimum of 48 credits beyond the
B.S. degree in course work and 24 credits in research.
The
M.S. degree requires a minimum of 30 course credits beyond the B.S.
degree. Students may choose the thesis option. At least 18 of the 30
credits must be taken in the industrial and systems engineering
program. The remaining credits may be taken in other graduate programs
including statistics, mathematics, mechanical and electrical
engineering, computer science, economics, and operations research.
The program offers four options for the M.S. degree. The industrial and
systems engineering option offers the most flexibility providing
students with knowledge in the major areas of the discipline including
stochastic and deterministic models; in application areas such as
production, quality, reliability, manufacturing, transportation, and
aviation; and in a range of skills including simulation and statistical
analysis.
The quality and reliability engineering option,
offered in cooperation with the statistics department, includes courses
in process control, design of experiments, quality management, and
reliability.
The manufacturing systems engineering option
includes courses in automation and computer integrated manufacturing
and design, robotics, manufacturing processes, automation, and control.
A special feature of this option is a required course where each
student performs an independent study in the laboratory.
The
information technology option educates students in the design,
implementation, and improvement of information systems in the
manufacturing and service industries. Students are trained in system
integration, utilizing technologies in software engineering, system
design and analysis to build a robust enterprise where information
systems are seamlessly integrated into the enterprise functions. The
option requires courses across disciplines including industrial and
systems engineering, computer science, business, and
telecommunications.
Extensive research facilities are
available for student use in manufacturing automation, manufacturing
processing, micro- computer/multimedia, facilities design, quality and
reliability engineering, and microprocessors. Specialized equipment
includes robotics, CNC machines, CAD facilities, microcomputers, and
quality and reliability engineering metrology and life testing
equipment, temperature chambers, vibration unit, scanning electron
microscope, metal processing equipment, and materials handling.
To be admitted to the program, students must have completed a degree in
engineering or related field and basic industrial and systems
engineering courses including four terms of calculus; a high-level
computer language; deterministic methods; probability; and engineering
economics. Students who are missing prerequisite courses may be
admitted to the graduate program, provided they take the prerequisites
for no credit.
Applicants are invited to contact the graduate director and peruse the web site http://coewww.rutgers.edu/ie.
