Simulation of Noodle Industry for Process Improvement

Khor, Wee Dick (2025) Simulation of Noodle Industry for Process Improvement. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

Text Khor Wee Dick_Full Text.pdf Restricted to Registered users only Download (13MB)

Abstract

The primary objective of this project is to utilise DELMIA Quest software to simulate and optimize a noodle production line, with the goal of identifying bottlenecks and enhancing overall production efficiency. By applying Discrete Event Simulation (DES) within DELMIA Quest, the project seeks to mirror real-world production dynamics and explore improvements to the existing system. Using actual data from a manufacturing company, the model was calibrated to replicate current operational conditions. Through detailed analysis of machine utilisation and production flow, DELMIA Quest provides insights into potential efficiency gains. The simulation produced a percentage deviation of 8.33% in terms of daily output from real-world performance, validated the model’s accuracy.Through the simulation, 3 bottleneck station were identified, which are moulding process, oven process and demoulding process. The validated model was then tested with two different scenarios, increasing machine caapacity at the oven machine and automating the moulding and demoulding machine. The former shows that if the oven capacity is increased by 2 row, the bottleneck issue can be reduced 20%. While the later shows if station on moulding and demoulding can be automated, the bottleneck can also be reduced 20%. This study demonstrates the capability of DELMIA Quest in identifying opportunities for process optimization in complex manufacturing environments.