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Improving queuing system with limited resources using TRIZ and arena simulation

A university cafeteria is a queueing system characterised by non-stationary time of arrival with limited resources where the arrival rate is time dependent and has different pattern of arrival for different time interval. This means at certain time of the day; the arrival rate is much higher than ot...

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Main Authors: Ahmad, Siti Azfanizam, Kok, Weng Ng, Airdzaman, Siti Hajar, Mei, Choo Ang, Suliano, Salami Bahariah
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89326/1/TRIZ.pdf
http://psasir.upm.edu.my/id/eprint/89326/
https://www.ijitee.org/download/volume-9-issue-7/
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spelling my.upm.eprints.893262021-08-19T23:06:51Z http://psasir.upm.edu.my/id/eprint/89326/ Improving queuing system with limited resources using TRIZ and arena simulation Ahmad, Siti Azfanizam Kok, Weng Ng Airdzaman, Siti Hajar Mei, Choo Ang Suliano, Salami Bahariah A university cafeteria is a queueing system characterised by non-stationary time of arrival with limited resources where the arrival rate is time dependent and has different pattern of arrival for different time interval. This means at certain time of the day; the arrival rate is much higher than other time. For a university cafeteria, the arrival rate of customer during the lunchtime is higher and the food (resources) is limited. Non-stationary time dependent queueing systems are not easily modelled mathematically hence such queueing systems are modelled using simulation tools such as ARENA. In order to model a non-stationary time dependent queueing system with limited resources and solve queueing problems using ARENA, researchers have to rely on their knowledge and experience to identify the appropriate parameters of the system and make modifications to these parameters of the system to solve queueing problems by means of trial and error. Hence, this research work explores the potentials of applying a systematic problem solving tool, TRIZ to help users to make better decisions in deriving solutions to improve a non-stationary time dependent queueing system with limited resources. A case study was carried out to minimize the waiting time of the customers at the cafeteria of the Faculty of Engineering, Universiti Putra Malaysia (UPM), which has queueing problems for years during lunchtime. TRIZ was applied in this case study and the results showed that TRIZ can assist researchers to derive a solution model that leads to shorter waiting time without incurring additional cost and resources. Blue Eyes Intelligence Engineering and Sciences Publication 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89326/1/TRIZ.pdf Ahmad, Siti Azfanizam and Kok, Weng Ng and Airdzaman, Siti Hajar and Mei, Choo Ang and Suliano, Salami Bahariah (2020) Improving queuing system with limited resources using TRIZ and arena simulation. International Journal of Innovative Technology and Exploring Engineering, 9 (7). 911 - 919. ISSN 2278-3075 https://www.ijitee.org/download/volume-9-issue-7/ 10.35940/ijitee.G5701.059720
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description A university cafeteria is a queueing system characterised by non-stationary time of arrival with limited resources where the arrival rate is time dependent and has different pattern of arrival for different time interval. This means at certain time of the day; the arrival rate is much higher than other time. For a university cafeteria, the arrival rate of customer during the lunchtime is higher and the food (resources) is limited. Non-stationary time dependent queueing systems are not easily modelled mathematically hence such queueing systems are modelled using simulation tools such as ARENA. In order to model a non-stationary time dependent queueing system with limited resources and solve queueing problems using ARENA, researchers have to rely on their knowledge and experience to identify the appropriate parameters of the system and make modifications to these parameters of the system to solve queueing problems by means of trial and error. Hence, this research work explores the potentials of applying a systematic problem solving tool, TRIZ to help users to make better decisions in deriving solutions to improve a non-stationary time dependent queueing system with limited resources. A case study was carried out to minimize the waiting time of the customers at the cafeteria of the Faculty of Engineering, Universiti Putra Malaysia (UPM), which has queueing problems for years during lunchtime. TRIZ was applied in this case study and the results showed that TRIZ can assist researchers to derive a solution model that leads to shorter waiting time without incurring additional cost and resources.
format Article
author Ahmad, Siti Azfanizam
Kok, Weng Ng
Airdzaman, Siti Hajar
Mei, Choo Ang
Suliano, Salami Bahariah
spellingShingle Ahmad, Siti Azfanizam
Kok, Weng Ng
Airdzaman, Siti Hajar
Mei, Choo Ang
Suliano, Salami Bahariah
Improving queuing system with limited resources using TRIZ and arena simulation
author_facet Ahmad, Siti Azfanizam
Kok, Weng Ng
Airdzaman, Siti Hajar
Mei, Choo Ang
Suliano, Salami Bahariah
author_sort Ahmad, Siti Azfanizam
title Improving queuing system with limited resources using TRIZ and arena simulation
title_short Improving queuing system with limited resources using TRIZ and arena simulation
title_full Improving queuing system with limited resources using TRIZ and arena simulation
title_fullStr Improving queuing system with limited resources using TRIZ and arena simulation
title_full_unstemmed Improving queuing system with limited resources using TRIZ and arena simulation
title_sort improving queuing system with limited resources using triz and arena simulation
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/89326/1/TRIZ.pdf
http://psasir.upm.edu.my/id/eprint/89326/
https://www.ijitee.org/download/volume-9-issue-7/
_version_ 1709669005973782528
score 13.211869

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