Course

Course Summary
Credit Type:
Course
ACE ID:
SOEL-0199
Organization's ID:
RRENG 82521
Organization:
AMC Logistics Leadership Center
Location:
Classroom-based
Length:
8 weeks (60 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Graduate 3 Industrial Engineering, Applied Statistics, Engineering Technology, or General Engineering
Student must achieve a minimum of 80 percent for graduate credit.
Description

Objective:

The course objective is to prepare the students to perform complex modeling and analysis of maintained Army weapon systems using the theory and application of advanced modeling methodologies for the development and evaluation of complex repairable systems.

Learning Outcomes:

  • Understand the properties of Poisson processes
  • Determine when and how to use Poisson processes to model repairable system failures
  • Describe the fundamental concepts of modeling repairable systems, including an overview of the functions used to model repairable systems reliability
  • Use Markov processes to model repairable systems which have several states and transitions between the states
  • Understand the main concepts of renewal processes and apply them to model repairable system failures
  • Understand the fundamental concepts of reliability growth and gain familiarity with the models used

General Topics:

  • Introduction to the Theory of Maintained Systems, terminology, notation, modeling situations, performance measures, and common assumptions, Markov processes, counting processes and reliability growth methodologies and models
Instruction & Assessment

Instructional Strategies:

  • Classroom Exercise
  • Discussion
  • Laboratory
  • Lectures
  • Practical Exercises
Supplemental Materials