Relevant Industrial Engineering Courses

Note: Course descriptions can be found in the Graduate Bulletin

  • I E 507: Operations Research: Scheduling Models. Scheduling models with simultaneous job arrival and probabilistic job arrival, network scheduling, and scheduling simulation techniques. Prerequisite: I E 425. Contact: C. Harmonosky
    Key topics: Scheduling models may be applied to patient scheduling, healthcare worker scheduling, or operating room scheduling
  • I E 509: Operations Research: Waiting Line Models. Waiting line models including models with infinite queues, finite queues, single and multiple servers under various priorities and disciplines. Prerequisite: I E 516. Contact: M. J. Chandra/G. Pang
    Key topics: patient flows in hospitals, delay reduction, admission control and routing of patients, personnel staffing and scheduling, management of hospital facilities, design of wards and waiting rooms in hospitals
  • I E 511: Experimental Design in Engineering. Statistical design and analysis of experiments in engineering; experimental models and experimental designs using the analysis of variance. Prerequisite: I E 323. Contact: E. del Castillo
    Key topics: medical device design and pharmaceutical development
  • I E 516: Applied Stochastic Processes. Discrete and continuous time stochastic processes, including discrete time Markov chains, Poisson processes, continuous time Markov chains, and renewal processes. Prerequisite: I E 322 or STAT 318. Contact: T. Yao
    Key topics: disease spread and medical errors
  • I E 520: Multiple Criteria Optimization. Study of concepts and methods in analysis of systems involving multiple objectives with applications in engineering, economic, and environmental systems. Prerequisite: I E 405 or B A 450. Contact: A. Ravindran
    Key topics: ranking methods, analytic hierarchy process, data envelopment analysis (DEA), bi-criteria optimization, goal programming
    Past student projects: Cardiovascular Disease Control; Radiation Therapy Planning; Hospital Evaluation by DEA
  • I E 522: Discrete Event Systems Simulation. The study of the fundamentals of discrete event simulation, including event scheduling, time advance mechanisms, random variate generation, and output analysis. Prerequisite: I E 425.
    Key topics: process flow, demand-capacity matching, resource requirements, and bottlenecks
    Past student project: Patient Flow in the Emergency Department
  • I E 557: Human-in-the-loop Simulation. Use of object-oriented tools for developing interactive, real-time simulations and for designing simulation interfaces. Prerequisites or Concurrent: I E 522. Contact: L. Rothrock
    Key topic: remote disease management call-center prototype
  • I E 558: Engineering of Cognitive Work. Information processing and decision making models of the human in the modern workplace, emphasizing visual inspection and other industrial applications. Prerequisites: I E 323 and I E 408. Contact: L. Rothrock
    Key topics: biases in physician decision making in context of judgment and decision making research 
  • I E 562: Expert Systems Design for Industrial Engineering. This course covers topics in artificial intelligence problem solving, search techniques, first-order logic, knowledge based systems, MYCIN and further developments, distributed intelligence, natural language processing, and neural networks. Contact: S. Kumara
    Key topics: building logical inference systems in all fields including healthcare
  • I E 570/SC&IS 570: Operations Research in Supply Chain. Use of operations research models and methods for solving problems in supply chain systems. Prerequisites: I E 405, I E 425, or SC&IS 510. Contact: A. Ravindran
    Key topics: forecasting, health facility location, network design, healthcare logistics
    Past student projects: Forecasting hospital supplies and supplier selection; Supply chain design for distribution of nets for malaria prevention
 
 

About

Home of the first established industrial engineering program in the world, the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering (IME) at Penn State has made a name for itself in the engineering industry through its storied tradition of unparalleled excellence and innovation in research, education, and outreach.

We are Innovators. We are Makers. We are Excellence in Engineering. We are Penn State IME.

The Harold and Inge Marcus Department of
Industrial and Manufacturing Engineering

310 Leonhard Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-7601

FAX: 814-863-4745