Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm

This research proposes a systematic model by using bee algorithm to optimize ready mixed concrete truck scheduling problem from a single plant to multiple sized receivers in a large search space using uncertain factors of bee algorithm compared to genetic algorithm. The objective is to minimize th...

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Main Authors: Nuntana Mayteekrieangkrai, Wuthichai Wongthatsanekorn
Format: Article
Language:English
Published: Prince of Songkla University 2015-04-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
Online Access:http://rdo.psu.ac.th/sjstweb/journal/37-2/37-2-13.pdf
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author Nuntana Mayteekrieangkrai
Wuthichai Wongthatsanekorn
author_facet Nuntana Mayteekrieangkrai
Wuthichai Wongthatsanekorn
author_sort Nuntana Mayteekrieangkrai
collection DOAJ
description This research proposes a systematic model by using bee algorithm to optimize ready mixed concrete truck scheduling problem from a single plant to multiple sized receivers in a large search space using uncertain factors of bee algorithm compared to genetic algorithm. The objective is to minimize the total waiting durations of RMC trucks. Four benchmark problems with 3, 5, 9 and 12 construction sites are evaluated. Furthermore, eight additional problems are created from the previous four problems by varying demands and traveling durations, in order to prove the algorithm accuracy and efficiency. Hence, a total of 12 problems would be solved using both BA and GA. The simulation results show that the BA approach can get lower total waiting durations and faster than GA for all problems. This research offers a more efficient alternative for solving RMC truck scheduling.
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spelling doaj.art-4361725511344f6ea25e979528ed3ca82022-12-21T17:58:54ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952015-04-01372221230Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithmNuntana Mayteekrieangkrai0Wuthichai Wongthatsanekorn1Department of Industrial Engineering, Faculty of Engineering, Thammasat University, Khlong Luang, Pathum Thani, 12120 Thailand.Department of Industrial Engineering, Faculty of Engineering, Thammasat University, Khlong Luang, Pathum Thani, 12120 Thailand.This research proposes a systematic model by using bee algorithm to optimize ready mixed concrete truck scheduling problem from a single plant to multiple sized receivers in a large search space using uncertain factors of bee algorithm compared to genetic algorithm. The objective is to minimize the total waiting durations of RMC trucks. Four benchmark problems with 3, 5, 9 and 12 construction sites are evaluated. Furthermore, eight additional problems are created from the previous four problems by varying demands and traveling durations, in order to prove the algorithm accuracy and efficiency. Hence, a total of 12 problems would be solved using both BA and GA. The simulation results show that the BA approach can get lower total waiting durations and faster than GA for all problems. This research offers a more efficient alternative for solving RMC truck scheduling.http://rdo.psu.ac.th/sjstweb/journal/37-2/37-2-13.pdfbee algorithmgenetic algorithmready mixed concrete truck schedulinga large search spacean uncertain factors
spellingShingle Nuntana Mayteekrieangkrai
Wuthichai Wongthatsanekorn
Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
Songklanakarin Journal of Science and Technology (SJST)
bee algorithm
genetic algorithm
ready mixed concrete truck scheduling
a large search space
an uncertain factors
title Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
title_full Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
title_fullStr Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
title_full_unstemmed Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
title_short Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
title_sort optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
topic bee algorithm
genetic algorithm
ready mixed concrete truck scheduling
a large search space
an uncertain factors
url http://rdo.psu.ac.th/sjstweb/journal/37-2/37-2-13.pdf
work_keys_str_mv AT nuntanamayteekrieangkrai optimizedreadymixedconcretetruckschedulingforuncertainfactorsusingbeealgorithm
AT wuthichaiwongthatsanekorn optimizedreadymixedconcretetruckschedulingforuncertainfactorsusingbeealgorithm