MODELING, SIMULATION AND ANALYSIS OF AN AUTOMOTIVE MANUFACTURING SYSTEM USING ARENA SOFTWARE

The objective of this project is to develop a model, simulate and analysis a manufacturing system using ARENA The scope of study is focusing on an automotive manufacturer, specifically on the automotive part component stamping line. The aim is to provide the best method to improve the workstation...

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Bibliographic Details
Main Author: AZHAR, AZWIN
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2008
Subjects:
Online Access:http://utpedia.utp.edu.my/9987/1/2008%20Bachelor%20-%20Modeling%20Simulation%20And%20Analysis%20Of%20An%20Automotive%20manufacturing%20System%20Using%20Aren.pdf
http://utpedia.utp.edu.my/9987/
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Summary:The objective of this project is to develop a model, simulate and analysis a manufacturing system using ARENA The scope of study is focusing on an automotive manufacturer, specifically on the automotive part component stamping line. The aim is to provide the best method to improve the workstation process efficiency and to ascertain its limitations and problems to achieve production target. The procedures include data gathering, model building, simulation, verification, and validation and performance analysis. To improve understanding about ARENA, a case study is carried out to make a simple simulation model. Then the model is simulated using the actual stamping productions data gathered which include the production index daily, process specification, parameters, production schedule and machine breakdown. The output of the simulation is generated in a form of report. The report is organized into sections which summarized across all replications. The results show that the percentage error of ARENA model is less than 5% as targeted. This model would be used as a decision support system for the investigation of improving the process by implementing several decisions like line balancing and simplifYing operation. "What-if" analysis is applied to give a review on the decision is presented. The findings confirm the qualitative behaviour of the manufacturing system in response to the different decision options.