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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:English
English
Published: 2021
Subjects:
TS155-194 Production management. Operations management
HD28-70 Management. Industrial Management
Online Access:https://etd.uum.edu.my/10143/1/s822279_01.pdf
https://etd.uum.edu.my/10143/2/s822279_02.pdf
https://etd.uum.edu.my/10143/
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spelling my.uum.etd.101432022-12-14T08:23:54Z https://etd.uum.edu.my/10143/ Modelling and analysing soy sauce production using discrete event simulation Nur Fatihah, Sakari 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 NonPeerReviewed text en https://etd.uum.edu.my/10143/1/s822279_01.pdf text en https://etd.uum.edu.my/10143/2/s822279_02.pdf Nur Fatihah, Sakari (2021) Modelling and analysing soy sauce production using discrete event simulation. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic TS155-194 Production management. Operations management
HD28-70 Management. Industrial Management
spellingShingle TS155-194 Production management. Operations management
HD28-70 Management. Industrial 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
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
publishDate 2021
url https://etd.uum.edu.my/10143/1/s822279_01.pdf
https://etd.uum.edu.my/10143/2/s822279_02.pdf
https://etd.uum.edu.my/10143/
_version_ 1753791150001487872
score 13.211869

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