Modeling and Simulation of a Manufacturing System Using ARENA

The aim of this project is to develop a manufacturing system based on a practical situation implemented on the ARENA software. Notably, the project topic is applicable to most manufacturing companies, as it involves typical flows and conditions. It manipulates the movement of entities from one st...

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Bibliographic Details
Main Author: Mohhid, Nurul Faezah
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2007
Subjects:
Online Access:http://utpedia.utp.edu.my/9838/1/2007%20Bachelor%20-%20Modeling%20And%20Simulation%20Of%20A%20Manufacturing%20System%20Using%20Arena.pdf
http://utpedia.utp.edu.my/9838/
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Summary:The aim of this project is to develop a manufacturing system based on a practical situation implemented on the ARENA software. Notably, the project topic is applicable to most manufacturing companies, as it involves typical flows and conditions. It manipulates the movement of entities from one station to another, route to several processes with any specific condition, and finally being disposed. The main purpose of this project is to improve the process with weaknesses and lack efficiency by continuous process improvement and process reengineering. This project focused on the line balancing method which is usually done manually with high level of error, and also to observe the impact of machine procurement before being installed in an actual system. Data and observation of the real process was done on a selected production line of a manufacturing company producing color television. For each production line's main line, it has four main process areas: the assembly, adjustment, inspection and packing and each process has several more work positions under it. Four models are generated for output observation based on improvements applied. Model 1 represent the actual system, Model 2 represent the system with line balancing method, Model 3 represent the system with new machine procurement and model 4 represent the combination of Model 2 and 3. The models depend on inputs from historical data and fitted to specific distribution function via Input Analyzer tool. However another option for changes in input parameters is available through the VBA generated user form. The outputs can be viewed at the Microsoft® Excel, animation on ARENA itself and also Process Analyzer tool. The result shows the overall efficiency is improved by 22.26 %, throughput is increased up to 16.6 %, machine downtime is decreased by 59.9 % and WIP is decreased by 50.49 %. It can be concluded that a viable simulation model of the process is realized and the results obtained provide useful insights about the actual system and suggests ways of improving it.