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В данной работе рассмотрена задача компоновки объекта для когнитивной модульной производственной системы. Обсуждаются существующие подходы к этой проблеме. Создана математическая модель для описания компоновки объекта и ограничений системы. В MATLAB реализованы методы оптимизации ветвей и границ и алгоритма имитации отжига. Протестированы на различных примерах конфигурации системы. Проведено сравнение результатов обоих методов и обсуждено их применение в реальных системах жизнедеятельности.
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Table of Contents
- 1 Introduction
- 2 State of the Art
- 2.1 Material flow in the context of logistics management
- 2.1.1 Fundamentals and objectives of material flow analysis
- 2.1.2 Basic elements of material flow systems
- 2.1.3 Modelling of material flow
- 2.2 Discrete-event simulations in relation to production and logistics
- 2.2.1 Terminology and objectives of simulation studies
- 2.2.2 Different kinds of simulation with regard to time
- 2.2.3 Discrete-event simulation in the context of production and logistics
- 2.2.4 Simulation procedure models for production systems
- 2.2.5 Simulation validation and verification
- 2.2.6 Quality aspects of a simulation
- 2.2.7 Simulation software
- 2.1 Material flow in the context of logistics management
- 3 Experimental Design
- 3.1 Task overview
- 3.2 Simulation procedure design
- 3.2.1 Simulation target setting and planning
- 3.2.2 Software tools
- 3.2.3 System description and system modelling
- 3.2.4 Data structure
- 3.2.5 Verification and validation
- 3.3 Simulation software design
- 3.3.1 Subsystems
- 3.3.2 Softwares
- 3.3.3 Data management
- 3.3.4 GUI
- 3.4 Experiment design
- 4 Results and Analysis
- 4.1 Incoming and outgoing material
- 4.2 Material stock
- 4.3 Average material travel time
- 5 Conclusion
- Bibliography
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