Renken, Hendrik: Acceleration of material flow simulations : using model coarsening by token sampling and online error estimation and accumulation controlling. 2014
Content
- Introduction
- Terminology
- Problem Statement
- State of the Technology
- Model and System Specifications
- Systems Theory
- System Theory of Technology
- Discrete Event System Specification
- Petri nets
- Current Simulation Software
- Representations for Analytical Processing
- Model Simplification and Coarsening
- Validity of Models
- Complexity Measurement
- Simplification and Coarsening Methods
- About the Managing of Model States
- Dynamic Model Simplification
- Bottleneck Detection Methods
- Model Partitioning
- Partitioning of Graphs
- Identifying Sequential Regions
- Single-Entry-Single-Exit Regions
- Partitioning of Material Flow Models
- The Simulation Software d3fact
- Required Actions
- Conceptual Design
- Token Sampling
- Material Flow System Specification
- Formalizing Token Processing Networks
- Material Flow System States
- Material Flow Dynamics
- Implementation as a Discrete Event System
- Concluding Remarks
- Performance of a Token Processing System
- Identifying Groups of Systems for Coarsening
- Coarsening Sequentially Connected Systems
- Sampling r
- Switching to the Coarsened Version (r r)
- Switch Back to the Original Version (r r)
- Handling Altering, Assembly, Disassembly of Tokens
- Coarsening Arbitrarily Connected Systems
- Sampling Groups of Arbitrarily Connected Systems
- Switch to the Coarsened Version (r r)
- Switch Back to the Original Version (r r)
- Summing Up
- Controlling the Coarsening Process
- Conclusion
- Implementation
- Validation
- Purpose-Build Models
- Measurement and Evaluation Methods
- Do not Coarsen the Bottleneck
- Error Size Dependency
- Complete versus Separate
- The Effect of the Resampling
- Subsystem Runtime Consumption
- Determining the Break-even Point
- Evaluation of the Controlling Function
- Conclusion
- Conclusion
- Bibliography
- Glossary
- Listings
- Large PST Example