Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam

Train is the most preferred public transport in urban area. However, passengers are often delayed by ineffective and inefficient counter services. They often have to queue to buy a ticket. The purpose of this study was to optimize the number of effective and efficient counters at a train station. Sp...

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Main Author: Rostam, Nurul Elfieqah
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/44613/1/44613.pdf
https://ir.uitm.edu.my/id/eprint/44613/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.44613
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spelling my.uitm.ir.446132021-10-28T01:51:53Z https://ir.uitm.edu.my/id/eprint/44613/ Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam Rostam, Nurul Elfieqah Urban transportation Numerical simulation. Monte Carlo method Train is the most preferred public transport in urban area. However, passengers are often delayed by ineffective and inefficient counter services. They often have to queue to buy a ticket. The purpose of this study was to optimize the number of effective and efficient counters at a train station. Specifically, this study attempted to identify the optimal number of opened counters at one time and to determine the minimum time taken for a passenger to buy a ticket. To achieve both objectives, the researcher has chosen to apply Poisson Queuing Simulation (PQ) to the Morning Shift (MS) and Evening Shift (ES) data at a train station. When the interval was capped to 25 minutes (the upper time limit for passengers to catch the morning train), the total time taken by passengers in three MS queues were 16.80 minutes, 14.70 minutes, and 12.60 minutes, respectively. Therefore, the optimal number of counters to be opened was 1 counter. Total time taken for three ES queues were 28.51 minutes, 20.18 minutes and 17.58 minutes respectively. Hence, a maximum of 2 counters were needed for the ES if the number of passengers were to exceed the normal flow. Based on these findings it is recommended that KTMB analyses the number of passengers using their stations to determine the optimal number of opened counters for all stations. 2021-03-31 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/44613/1/44613.pdf ID44613 Rostam, Nurul Elfieqah (2021) Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam. Degree thesis, thesis, Universiti Teknologi Mara Perlis.
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 Urban transportation
Numerical simulation. Monte Carlo method
spellingShingle Urban transportation
Numerical simulation. Monte Carlo method
Rostam, Nurul Elfieqah
Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam
description Train is the most preferred public transport in urban area. However, passengers are often delayed by ineffective and inefficient counter services. They often have to queue to buy a ticket. The purpose of this study was to optimize the number of effective and efficient counters at a train station. Specifically, this study attempted to identify the optimal number of opened counters at one time and to determine the minimum time taken for a passenger to buy a ticket. To achieve both objectives, the researcher has chosen to apply Poisson Queuing Simulation (PQ) to the Morning Shift (MS) and Evening Shift (ES) data at a train station. When the interval was capped to 25 minutes (the upper time limit for passengers to catch the morning train), the total time taken by passengers in three MS queues were 16.80 minutes, 14.70 minutes, and 12.60 minutes, respectively. Therefore, the optimal number of counters to be opened was 1 counter. Total time taken for three ES queues were 28.51 minutes, 20.18 minutes and 17.58 minutes respectively. Hence, a maximum of 2 counters were needed for the ES if the number of passengers were to exceed the normal flow. Based on these findings it is recommended that KTMB analyses the number of passengers using their stations to determine the optimal number of opened counters for all stations.
format Thesis
author Rostam, Nurul Elfieqah
author_facet Rostam, Nurul Elfieqah
author_sort Rostam, Nurul Elfieqah
title Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam
title_short Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam
title_full Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam
title_fullStr Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam
title_full_unstemmed Optimizing number of effective-efficient counters using poisson queuing model / Nurul Elfieqah Rostam
title_sort optimizing number of effective-efficient counters using poisson queuing model / nurul elfieqah rostam
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/44613/1/44613.pdf
https://ir.uitm.edu.my/id/eprint/44613/
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