Renken, Hendrik: Acceleration of material flow simulations : using model coarsening by token sampling and online error estimation and accumulation controlling. 2014
Inhalt
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