Doctoral Degree in Industrial and Systems Engineering

Rutgers School of Engineering’s doctoral degree in Industrial and Systems Engineering is a program for those looking to advance academic knowledge in areas that include systems engineering production and manufacturing engineering, quality and reliability engineering, energy, and transportation systems. The core competencies of the program are stochastic systems and optimization, reliability and quality, automation sciences, computation sciences, and advanced manufacturing. The breath of applications encompasses manufacturing systems and engineering, intelligent transportation systems, energy systems, supply chain and logistics, aviation safety, and cyber-physical security.

Active research in these areas by both faculty and graduate students includes publication in leading research journals and generates support from agencies including the National Science Foundation; the Departments of Commerce, Defense, Energy, and Transportation; the Federal Aviation Administration; New Jersey State agencies; and private industry.

Academics and Research

The department offers well-equipped laboratories that include Manufacturing Automation Research (precision machining, metal additive manufacturing); Laser-Assisted Micro-Manufacturing
(micro-milling, laser micromachining, and pulsed laser processing); Quality and Reliability; Automation and Control; Advanced Simulation (smart city, cyber-physical manufacturing); Data
Analytics, and Stochastic Systems.

Graduate students collaborate with faculty in other graduate programs, including statistics, mechanical engineering, materials science and engineering, mathematics, operations research, civil and environmental engineering, and management science. There are 13 full-time faculty members and approximately 60 students in the master’s program and 40 in the doctoral program. Twenty percent are U.S. students; 80 percent are studying full-time.

Core Engineering Qualifying Courses

■ Deterministic Models in Industrial Engineering
■ Stochastic Models in Industrial Engineering
■ Production Analysis
■ Systems Reliability Engineering Other Courses
■ Advanced Manufacturing Processes
■ Laser-Based Micromanufacturing
■ Supply Chain and Logistics
■ Data Analytics in Engineering Systems
■ Maintenance Modeling and Optimization
■ Optimization and Performance Analysis of Service Systems
■ Stochastic Inventory Control
■ Simulation Analysis and Methods