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Simulation and optimization of scrap wagon dismantling system based on Plant Simulation.
Hai-Qing Chen1, Yu-De Dong2, Fei Hu1
1School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Visual Computing for Industry, Biomedicine, and Art
|April 24, 2023
Summary
Simulation analysis identified bottlenecks in a dismantling system, leading to process suspension. Optimization strategies improved material flow and buffer capacity, significantly boosting productivity and station efficiency.
Area of Science:
- Industrial Engineering
- Operations Research
- Manufacturing Systems
Background:
- Existing plant layouts and process flows can lead to inefficiencies.
- Disassembly processes are critical for many manufacturing and recycling operations.
- Simulation analysis is a valuable tool for identifying system bottlenecks.
Purpose of the Study:
- To analyze an existing plant layout and process flow using simulation.
- To identify and address issues causing long-term suspension in the disassembly process.
- To develop a cost-optimized solution for improving dismantling system efficiency.
Main Methods:
- Plant Simulation platform was utilized for simulation analysis.
- A cost-oriented optimization model was established.
- A genetic algorithm was employed to solve the optimization model.
Main Results:
- Simulation revealed a problem of long-term suspension in the disassembly process.
- The optimized dismantling system effectively resolved the suspended work issue.
- Significant improvements in productivity and station utilization efficiency were achieved.
Conclusions:
- Optimizing material transportation and buffer capacity can resolve process bottlenecks.
- A cost-benefit analysis guided the development of an effective optimization scheme.
- The enhanced dismantling system demonstrates superior performance compared to the previous setup.
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