UUM Electronic Theses and Dissertation
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Modelling and analysing soy sauce production using discrete event simulation

Nur Fatihah, Sakari (2021) Modelling and analysing soy sauce production using discrete event simulation. Masters thesis, Universiti Utara Malaysia.

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The stochastic demand of a product in a competitive market causes manufacturing industries struggle to control their productions. This situation has been worsened by various factors complicating the production processes, such as process bottlenecks, imbalance employees' working time and unoptimised production schedules. However, these factors have rarely been considered in previous discrete event simulation studies, which typically examine the impact of changing the capacity of available resources on system throughput. This research simulates the production processes of a soy sauce manufacturing company by considering all the factors. The current processes and their processing time, observed and collected from a real system, were modelled using Arena software. Then, model was run, verified and validated to measure the current performance of the system, especially on the utilization of available resources. Various 'what-if analysis' was performed to propose strategies to improve the current production processes. The developed model identified some problems in the production processes, which had not been realized by the company. The occurring bottleneck at the Moromi and Koji processes imposed the company to extend their operations hours, which ignite the issue of unplanned overtime working hours. The research helps the manufacturing company understand the problems occuring in their production processes without interrupting the real processes. In addition, it helps them identify the pain point in the production flow and analyse potential actions and its impact on production throughput.

Item Type: Thesis (Masters)
Supervisor : Mohd Nawawi, Mohd Kamal and Khalid, Ruzelan
Item ID: 10143
Uncontrolled Keywords: Discrete Event Simulation, Stochastic Demand, Bottleneck, Soy Sauce Production Process, Overtime Working Hours.
Subjects: T Technology > TS Manufactures > TS155-194 Production management. Operations management
H Social Sciences > HD Industries. Land use. Labor. > HD28-70 Management. Industrial Management
Divisions: Awang Had Salleh Graduate School of Arts & Sciences
Date Deposited: 14 Dec 2022 08:23
Last Modified: 14 Dec 2022 08:23
Department: Awang Had Salleh Graduate School of Art & Sciences
Name: Mohd Nawawi, Mohd Kamal and Khalid, Ruzelan
URI: https://etd.uum.edu.my/id/eprint/10143

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