Modelling and analysing soy sauce production using discrete event simulation

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 unoptim...

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Main Author:	Nur Fatihah, Sakari
Format:	Thesis
Language:	eng eng
Published:	2021
Subjects:	TS155-194 Production management Operations management
Online Access:	https://etd.uum.edu.my/10143/1/s822279_01.pdf https://etd.uum.edu.my/10143/2/s822279_02.pdf
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id	my-uum-etd.10143
record_format	uketd_dc
spelling	my-uum-etd.101432022-12-14T08:23:54Z Modelling and analysing soy sauce production using discrete event simulation 2021 Nur Fatihah, Sakari Mohd Nawawi, Mohd Kamal Khalid, Ruzelan Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Art & Sciences TS155-194 Production management. Operations management HD28-70 Management. Industrial Management 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. 2021 Thesis https://etd.uum.edu.my/10143/ https://etd.uum.edu.my/10143/1/s822279_01.pdf text eng 2024-12-21 staffonly https://etd.uum.edu.my/10143/2/s822279_02.pdf text eng public other masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Mohd Nawawi, Mohd Kamal Khalid, Ruzelan
topic	TS155-194 Production management Operations management TS155-194 Production management Operations management
spellingShingle	TS155-194 Production management Operations management TS155-194 Production management Operations management Nur Fatihah, Sakari Modelling and analysing soy sauce production using discrete event simulation
description	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.
format	Thesis
qualification_name	other
qualification_level	Master's degree
author	Nur Fatihah, Sakari
author_facet	Nur Fatihah, Sakari
author_sort	Nur Fatihah, Sakari
title	Modelling and analysing soy sauce production using discrete event simulation
title_short	Modelling and analysing soy sauce production using discrete event simulation
title_full	Modelling and analysing soy sauce production using discrete event simulation
title_fullStr	Modelling and analysing soy sauce production using discrete event simulation
title_full_unstemmed	Modelling and analysing soy sauce production using discrete event simulation
title_sort	modelling and analysing soy sauce production using discrete event simulation
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2021
url	https://etd.uum.edu.my/10143/1/s822279_01.pdf https://etd.uum.edu.my/10143/2/s822279_02.pdf
_version_	1776103750995279872

Modelling and analysing soy sauce production using discrete event simulation

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