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The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli

The queuing theory model is the quantitative observation of congestion and disruptions while waiting in line. In general, a queue forms in a production system when the number of customers (human beings or physical entities) requiring service waiting time exceeds the number of facilities available to...

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Main Authors: Mohamad Nizam, Anis Natasha, Noor Azlan, Nurfatihah Nadirah, Fazli, Nur Izzati Aliah
Format: Student Project
Language:English
Published: 2022
Subjects:
Fuzzy arithmetic
Fuzzy logic
Online Access:https://ir.uitm.edu.my/id/eprint/79551/1/79551.pdf
https://ir.uitm.edu.my/id/eprint/79551/
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spelling my.uitm.ir.795512023-06-16T07:46:05Z https://ir.uitm.edu.my/id/eprint/79551/ The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli Mohamad Nizam, Anis Natasha Noor Azlan, Nurfatihah Nadirah Fazli, Nur Izzati Aliah Fuzzy arithmetic Fuzzy logic The queuing theory model is the quantitative observation of congestion and disruptions while waiting in line. In general, a queue forms in a production system when the number of customers (human beings or physical entities) requiring service waiting time exceeds the number of facilities available to serve them. This study aims to compare the behaviors of a queuing system at an order counter using the Fuzzy Queuing Model, which are the Dong, Shah, and Wong (DSW) Algorithm and the Left-Right (L-R) Method. One of the approximate methods that employs intervals at various a -cuts is the DSW Algorithm. In a standard interval analysis, it was the complete a-cuts intervals, while in the L-R Method, the priority discipline fuzzy queuing model is being examined and summarized in two kinds of situations, which are no priority discipline and pre-emption priority. Based on our study, the problem often occurs when the deficient customer time service during service delivery has an impact on customer flow and the time service provided to the next customer. The customer's time service during receiving the services will be affected the customer flow and the time service for the next customer. Data variables have been gathered, including service time and server queue arrival time. Results indicate that the computed performance measures of the fuzzy queuing model in the L-R Method are within the range of the performance measures of the fuzzy queuing model in the DSW Algorithm. Thus, the DSW Algorithm is the most effective way to minimize the waiting time at the service counter and optimize customer flow. For further study, a different researcher might use a different fuzzy queuing model in the system to address the same issue, such as the Fuzzy Inference System (FIS) and the Ranking Function Method (RFM). 2022 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/79551/1/79551.pdf The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli. (2022) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Fuzzy arithmetic
Fuzzy logic
spellingShingle Fuzzy arithmetic
Fuzzy logic
Mohamad Nizam, Anis Natasha
Noor Azlan, Nurfatihah Nadirah
Fazli, Nur Izzati Aliah
The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli
description The queuing theory model is the quantitative observation of congestion and disruptions while waiting in line. In general, a queue forms in a production system when the number of customers (human beings or physical entities) requiring service waiting time exceeds the number of facilities available to serve them. This study aims to compare the behaviors of a queuing system at an order counter using the Fuzzy Queuing Model, which are the Dong, Shah, and Wong (DSW) Algorithm and the Left-Right (L-R) Method. One of the approximate methods that employs intervals at various a -cuts is the DSW Algorithm. In a standard interval analysis, it was the complete a-cuts intervals, while in the L-R Method, the priority discipline fuzzy queuing model is being examined and summarized in two kinds of situations, which are no priority discipline and pre-emption priority. Based on our study, the problem often occurs when the deficient customer time service during service delivery has an impact on customer flow and the time service provided to the next customer. The customer's time service during receiving the services will be affected the customer flow and the time service for the next customer. Data variables have been gathered, including service time and server queue arrival time. Results indicate that the computed performance measures of the fuzzy queuing model in the L-R Method are within the range of the performance measures of the fuzzy queuing model in the DSW Algorithm. Thus, the DSW Algorithm is the most effective way to minimize the waiting time at the service counter and optimize customer flow. For further study, a different researcher might use a different fuzzy queuing model in the system to address the same issue, such as the Fuzzy Inference System (FIS) and the Ranking Function Method (RFM).
format Student Project
author Mohamad Nizam, Anis Natasha
Noor Azlan, Nurfatihah Nadirah
Fazli, Nur Izzati Aliah
author_facet Mohamad Nizam, Anis Natasha
Noor Azlan, Nurfatihah Nadirah
Fazli, Nur Izzati Aliah
author_sort Mohamad Nizam, Anis Natasha
title The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli
title_short The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli
title_full The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli
title_fullStr The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli
title_full_unstemmed The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli
title_sort application of queuing theory model using the dsw algorithm and the l-r method to optimize customer flow at pizza hut / anis natasha mohamad nizam, nurfatihah nadirah noor azlan and nur izzati aliah fazli
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/79551/1/79551.pdf
https://ir.uitm.edu.my/id/eprint/79551/
_version_ 1769846665449046016
score 13.211869

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