• IE 493: Special Topics

  1.00 - 3.00 Credits

  The University of Tennessee - Knoxville

  
  Recent developments in industrial engineering including new areas of application, new research techniques, and new methodologies.Repeatability: May be repeated: Maximum 6 hours.Registration Restriction(s): Minimum student level ― junior.
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• IE 494: Special Topics

  1.00 - 3.00 Credits

  The University of Tennessee - Knoxville

  
  Recent developments in industrial engineering, including new areas of application, new research techniques, and new methodologies.Repeatability: May be repeated. Maximum 6 hours.Registration Restriction(s): Minimum student level ― junior.
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• IE 495: Special Topics

  1.00 - 3.00 Credits

  The University of Tennessee - Knoxville

  
  Recent developments in industrial engineering including new areas of application, new research techniques, and new methodologies.Repeatability: May be repeated. Maximum 6 hours.Registration Restriction(s): Minimum student level ― junior.
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• IE 503: Intro/Industrial Engr Research

  2.00 Credits

  The University of Tennessee - Knoxville

  
  Introduction to basic research skills in Industrial Engineering, including literature review, research question identification and definition, scientific writing, paper revision, presentation, proposal development, network building, research ethics, and an overiew of Industrial Engineering research methods.(RE) Corequisite(s): 550.
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• IE 515: Adv Production/Inventory Syst

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Advanced topics in production planning and inventory systems. Material requirements planning: production planning and master scheduling; just-in-time concepts; distribution requirements planning; and other selected topics.(RE) Prerequisite(s): 402 or consent of instructor.
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• IE 516: Statistical Method/Indust Engr

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Application of classical statistical techniques to industrial engineering problems. Statistics and statistical thinking in managerial context of organizational improvement; descriptive statistics and distribution theory; relationship between statistical process control techniques and classical statistical tools; parameter estimation and hypothesis testing; goodness-of-fit testing; linear regression and correlation; analysis of variance; single and multiple factor experimental design.Recommended Background: Statistics 251 or equivalent.
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• IE 517: Reliability of Lean Systems

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Course is divided into two major components. First half of the course will focus on introducing the students to the concepts of reliability and maintainability and the impact of lean on the reliability of complex systems. The concepts of reliability engineering are utilized to address lean system failures, including equipment failures, human failures, material failures and scheduling failures. Will develop the ability to design systems that are both lean and reliable. The second half of the course will introduce students to specific case studies of systems failures and ask student to develop solutions by considering different dimensions including financial, technical feasibility, risk, safety, security and others. Multi criteria decision making methodologies will be presented to allow students to make decisions when different criteria lead to conflicting solutions.(RE) Prerequisite(s): 516.Recommended Background: Background in lean and reliability.
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• IE 518: Adv Engr Economic Analysis

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Application of engineering economic analysis in complex decision situations. Inflation and price changes; uncertainty evaluation using non-probabilistic techniques; capital financing and project allocation; evaluations involving equipment replacement, investor-owned utilities, and public works projects; probabilistic risk analysis including computer simulation and decision trees; multi-attribute decision analysis; and other advanced topics.(RE) Prerequisite(s): 405Recommended Background: Statistics 251.
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• IE 522: Optimizat Methods/Indust Engr

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Classical optimization applied to constrained and unconstrained, non-linear, multi-variable functions; search techniques; decision making under uncertainty; game theory; and dynamic programming.Recommended Background: Linear Algebra.
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• IE 526: Adv Appl Syst Model/Simulat

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Modeling and simulation of business and industry systems to enhance management, strategic, and operational decision-making. Hands-on experiences of simulation software package (e.g., Arena) will be provided with case studies in manufacturing, supply chain and logistics, healthcare, etc.Cross-listed: (Same as Management Science 526.)Recommended Background: 306
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