Optimization Of High-Mix Low-Volume Manufacturing System Using Discrete Event Simulation
The purpose of this project is to evaluate how Discrete-Event Simulation (DES) can be used as a decision support for production planning which is tested at a High-Mix Low-Volume (HMLV) manufacturing company, Coraza Systems Malaysia. The focus of this project is to improve the optimization in manu...
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| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2017
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| Subjects: | |
| Online Access: | http://eprints.usm.my/53732/1/Optimization%20Of%20High-Mix%20Low-Volume%20Manufacturing%20System%20Using%20Discrete%20Event%20Simulation_Khairunnisa%20Kamarudin_M4_2017.pdf http://eprints.usm.my/53732/ |
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| Institution: | Universiti Sains Malaysia |
| Language: | English |
| Summary: | The purpose of this project is to evaluate how Discrete-Event Simulation (DES)
can be used as a decision support for production planning which is tested at a High-Mix
Low-Volume (HMLV) manufacturing company, Coraza Systems Malaysia. The focus of
this project is to improve the optimization in manufacturing system without reducing the
productivity of the production system or making facility investments. The scope is
focusing on the HMLV manufacturing system of four machines at the CNC machining
shop. This study analyzes the current scheduling problem and generates possible
solutions to improve the current manufacturing flow. Time study has been carried out to
identify the actual production system performance. Current state modeling is created
using probability distribution obtained from the historical data of daily production
records. The current model is then verified and validated by conducting paired t-test to
ensure the accuracy of the system built. To evaluate potential changes in the production
system, a DES model is built and different scenarios are tested. The strategies are to
change the current Earliest Due Date (EDD) dispatching rules to other type of
dispatching rules. Comparison of performance measure is performed to assess which
dispatching rule is the best with most improvements. It is found that changing the
dispatching rule to Shortest Setup Time (SST) brings the most improvement in increasing
the overall machines utilization and number of finished parts produced. The conclusion
from this thesis is that it is possible to use DES as a decision tool as it is better for long
term strategic decisions. |
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