IND 4830 - Process Simulation

• Understand and define simulation terminology
• Create simulations of basic manufacturing and service systems using manual simulation, spreadsheet simulation, and MPX and SIMIO software
• Select, analyze, and/or design processes using simulation where appropriate
• Use these models to assist the decision-making process
• Develop an understanding of how these methods impact business and industry
• Improve problem-solving skills

• Process modelling
• Stochastic processes
• Linear and non-linear optimization

• Theory of simulation
• Physical simulation applications
• Applications of simulation
• Limitations of simulation
• Monte Carlo simulation
• Custom distributions
• Random number generation
• Simulation concepts
• Process modelling for simulation
• Inverse cumulative distributions
• Input analysis
• Simulation coding strategies
• Modeling unit processes
• Convergence in simulation
• Discrete-time simulation
• Entity-based simulation modelling
• Complex interactions with simulation
• Steady-state analysis
• Transient conditions in simulation
• Value Stream Modeling
• Modeling continuous systems
• Conducting simulation studies
• Statistical analysis with simulation
• Designed simulation experiments

• Physical simulation process lab
• Random number generation and analysis lab
• Spatial Monte Carlo simulation
• Recursive Monte Carlo simulation
• Queueing systems simulation lab
• Entity-based service system simulation
• Complex entity-based simulation
• Traffic flow simulation and analysis lab
• Manufacturing dynamics lab
• Value Stream Modeling lab
• Meta-heuristic optimization lab
• Scheduling simulation
• Final project simulation case study