PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS

Prerequisites & course information

Requisites: ( I SY E 624 or STAT/I SY E/MATH/OTM 632 ) and ( COMP SCI 200 , 220 , 300 , 301, 400 , or placement into COMP SCI 300 ), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2021 Learning Outcomes: 1. Model a variety of manufacturing problems as stochastic models using Markov Chain and Process theory Audience: Both Grad & Undergrad 2. Identify the basic assumptions underlying stochastic models and understand what can happen when these assumptions do not hold Audience: Both Grad & Undergrad 3. Apply queueing theory to model manufacturing systems Audience: Both Grad & Undergrad 4. Apply the line balancing method for assembly systems design Audience: Both Grad & Undergrad 5. Perform cost analysis for manufacturing systems Audience: Both Grad & Undergrad 6. Apply the analytical approaches of performance analysis for manufacturing systems to real industry cases Audience: Both Grad & Undergrad 7. Apply advanced Markov process method to solve complicated performance evaluation problems encountered in manufacturing production systems Audience: Graduate Learning Outcomes: 1. Model a variety of manufacturing problems as stochastic models using Markov Chain and Process theory Audience: Both Grad & Undergrad 2. Identify the basic assumptions underlying stochastic models and understand what can happen when these assumptions do not hold Audience: Both Grad & Undergrad 3. Apply queueing theory to model manufacturing systems Audience: Both Grad & Undergrad 4. Apply the line balancing method for assembly systems design Audience: Both Grad & Undergrad 5. Perform cost analysis for manufacturing systems Audience: Both Grad & Undergrad 6. Apply the analytical approaches of performance analysis for manufacturing systems to real industry cases Audience: Both Grad & Undergrad 7. Apply advanced Markov process method to solve complicated performance evaluation problems encountered in manufacturing production systems Audience: Graduate