A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry

A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry

In recent years, cement consumption has increased in most Asian countries, including Malaysia. There are many factors which affect the supply of the increasing order demands in the cement industry, such as traffic congestion, logistics, weather and machine breakdowns. These factors hinder smooth and...

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Main Author: Zeina Mueen Mohammed,
Format: Thesis
Language:eng
eng
eng
Published: 2018
Subjects:
QA76.76 Fuzzy System.
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institution Universiti Utara Malaysia
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language eng
eng
eng
advisor Ramli, Razamin
Zaibidi, Nerda Zura
topic QA76.76 Fuzzy System.
spellingShingle QA76.76 Fuzzy System.
Zeina Mueen Mohammed, ,
A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
description In recent years, cement consumption has increased in most Asian countries, including Malaysia. There are many factors which affect the supply of the increasing order demands in the cement industry, such as traffic congestion, logistics, weather and machine breakdowns. These factors hinder smooth and efficient supply, especially during periods of peak congestion at the main gate of the industry where queues occur as a result of inability to keep to the order deadlines. Basic elements, such as arrival and service rates, that cannot be predetermined must be considered under an uncertain environment. Solution approaches including conventional queueing techniques, scheduling models and simulations were unable to formulate the performance measures of the cement queueing system. Hence, a new procedure of fuzzy subset intervals is designed and embedded in a queuing model with the consideration of arrival and service rates. As a result, a multiple channel queueing model with multiclass arrivals, (M1, M2)/G/C/2Pr, under an uncertain environment is developed. The model is able to estimate the performance measures of arrival rates of bulk products for Class One and bag products for Class Two in the cement manufacturing queueing system. For the (M1, M2)/G/C/2Pr fuzzy queueing model, two defuzzification techniques, namely the Parametric Nonlinear Programming and Robust Ranking are used to convert fuzzy queues into crisp queues. This led to three proposed sub-models, which are sub-model 1, MCFQ-2Pr, sub-model 2, MCCQESR-2Pr and sub-model 3, MCCQ-GSR-2Pr. These models provide optimal crisp values for the performance measures. To estimate the performance of the whole system, an additional step is introduced through the TrMF-UF model utilizing a utility factor based on fuzzy subset intervals and the α-cut approach. Consequently, these models help decision-makers deal with order demands under an uncertain environment for the cement manufacturing industry and address the increasing quantities needed in future.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Zeina Mueen Mohammed, ,
author_facet Zeina Mueen Mohammed, ,
author_sort Zeina Mueen Mohammed, ,
title A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
title_short A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
title_full A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
title_fullStr A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
title_full_unstemmed A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
title_sort multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2018
url https://etd.uum.edu.my/6931/1/DepositPermission_s95643.pdf
https://etd.uum.edu.my/6931/2/s95643_01.pdf
https://etd.uum.edu.my/6931/3/s95643_02.pdf
_version_ 1747828131473915904
spelling my-uum-etd.69312022-10-11T02:51:25Z A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry 2018 Zeina Mueen Mohammed, , Ramli, Razamin Zaibidi, Nerda Zura Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences QA76.76 Fuzzy System. In recent years, cement consumption has increased in most Asian countries, including Malaysia. There are many factors which affect the supply of the increasing order demands in the cement industry, such as traffic congestion, logistics, weather and machine breakdowns. These factors hinder smooth and efficient supply, especially during periods of peak congestion at the main gate of the industry where queues occur as a result of inability to keep to the order deadlines. Basic elements, such as arrival and service rates, that cannot be predetermined must be considered under an uncertain environment. Solution approaches including conventional queueing techniques, scheduling models and simulations were unable to formulate the performance measures of the cement queueing system. Hence, a new procedure of fuzzy subset intervals is designed and embedded in a queuing model with the consideration of arrival and service rates. As a result, a multiple channel queueing model with multiclass arrivals, (M1, M2)/G/C/2Pr, under an uncertain environment is developed. The model is able to estimate the performance measures of arrival rates of bulk products for Class One and bag products for Class Two in the cement manufacturing queueing system. For the (M1, M2)/G/C/2Pr fuzzy queueing model, two defuzzification techniques, namely the Parametric Nonlinear Programming and Robust Ranking are used to convert fuzzy queues into crisp queues. This led to three proposed sub-models, which are sub-model 1, MCFQ-2Pr, sub-model 2, MCCQESR-2Pr and sub-model 3, MCCQ-GSR-2Pr. These models provide optimal crisp values for the performance measures. To estimate the performance of the whole system, an additional step is introduced through the TrMF-UF model utilizing a utility factor based on fuzzy subset intervals and the α-cut approach. Consequently, these models help decision-makers deal with order demands under an uncertain environment for the cement manufacturing industry and address the increasing quantities needed in future. 2018 Thesis https://etd.uum.edu.my/6931/ https://etd.uum.edu.my/6931/1/DepositPermission_s95643.pdf text eng staffonly https://etd.uum.edu.my/6931/2/s95643_01.pdf text eng public https://etd.uum.edu.my/6931/3/s95643_02.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia Abogrean, E. M. (2012). Stochastic Simulation of Machine Breakdown. Journal of Public Administration and Governance, 2(1), 95–105. https://doi.org/10.5296/jpag.v2i1.1285 Adan, I., & Resing, J. (2002). Queueing Theory. Eindhoven, The Netherlands. 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