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Objective:
Intensive
three-day course with extensive hands-on applications.
Developing fundamental & essential skills in ProModel simulation
modeling & optimization, with common manufacturing protocols.
Prerequisites:
Basic Windows 9x, ME, NT, 2000 or
XP proficiency & manufacturing concepts. Although not require,
a basic understanding of statistics or computer programming is
beneficial.
Agenda:
Day One
- Getting
Familiar with ProModel menus - File, Edit, View, Build,
Simulation, Output, Tools, Window and Help
- System
Settings - How to change various system settings to your
liking
- Build two
Practice Models with the instructor
- Model
time, distance and scale settings
- Background graphics and importing a background
- Locations
-Defining Machines, Workstations, Stocks, WIPs
etc
- Entities
-Defining Parts, Pallets, Goods etc
- Path Networks -Defining Material Handling Paths
- Resources -Defining Operators, Material Handlers,
Forklifts, Trucks etc
- Processing -Defining Production Routing, Work Logics etc.
- Arrivals
-Defining JIT, Delivery policies etc
- Output Analysis & Interpretations
- Build the Phase 1 model
Day Two
- Build the Phase 2 model
- Location and resource downtimes
- Normal Distribution Process Times & Central Limit
Theorem
- Processing - Display and Use
- Build the Phase 3 model
- Defining Model Attributes
- Logs Function
- User Defined Distributions
- Processing - Assignment, Clock(), If - Then - Else
- Build the Phase 4 model
- Defining Model Variables
- New Routing rule
- Processing – INC function
- Build the Phase 5 model
- Processing – Join, DEC function
Day Three
- Build the Phase 6 model
- New model – supply chain
- Arrival Logic
- Exponential and Triangular Distributions
- Multiple Route Destinations
- Processing - Route, Load, Unload
- Build the Phase 7 model
- Merge Models & Creating Submodels
- Graphically Move a Model
- Build the Phase 8 model
- Defining Shifts
- Defining & Tabulating Model Costs
- Termination logic
- Processing - Getcost(), INCENTCOST()
- Build the Phase 9 model
- Using Stat::Fit, a statistic module.
- Defining Macros
- Run Time Interfaces
- Creating Multiple Scenarios
- Model analysis and decision making problem
- Statistical Considerations
- Using Warm-up time
- Determining the number of required replications
- Home Assignments
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