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Truck queuing analysis at landfill sites in a waste collection vehicle routing problem

This paper presents an analysis of a truck queuing problem at landfill sites due to a static rest time of truck drivers in a waste collection vehicle routing problem. The analysis is based on a solution of two datasets from a benchmark waste collection problem using the nearest greedy heuristic algo...

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Main Authors: Benjamin, Aida Mauziah, Ku-Mahamud, Ku Ruhana, Idrus, Zanariah
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/22812/1/ICOCI%202017%20132-138.pdf
http://repo.uum.edu.my/22812/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap02e/PID160-132-138e.pdf
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spelling my.uum.repo.228122017-07-26T08:07:58Z http://repo.uum.edu.my/22812/ Truck queuing analysis at landfill sites in a waste collection vehicle routing problem Benjamin, Aida Mauziah Ku-Mahamud, Ku Ruhana Idrus, Zanariah QA75 Electronic computers. Computer science This paper presents an analysis of a truck queuing problem at landfill sites due to a static rest time of truck drivers in a waste collection vehicle routing problem. The analysis is based on a solution of two datasets from a benchmark waste collection problem using the nearest greedy heuristic algorithm.In this problem, all drivers need to have a one-hour rest break during their collection.The rest break can start from 11.00 a.m. to 12.00 p.m. However, based on the solution from a previous study, all drivers have their rest break almost at the same time. Consequently, all drivers travelled to landfill sites to unload waste approximately at the same time.Based on the truck queuing analysis presented in this paper, there is a long queue at landfill site 3 (ten trucks arrived between 2.52 p.m. to 2.53 p.m.) for dataset 1; whereas for dataset 2, 13 trucks arrived at landfill site 1 between 4.10 p.m. to 4.55 p.m. Thus, it may be concluded that the static rest time period of truck drivers can cause truck queuing at landfill sites. Long queues at landfill sites will increase the service time at landfill sites as well as affect the drivers’ arrival time at customers. This paper suggests that future works need to consider a dynamic rest time period in solution techniques to overcome the truck queuing problem at landfill sites for solving the waste collection vehicle routing problem. 2017-04-25 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/22812/1/ICOCI%202017%20132-138.pdf Benjamin, Aida Mauziah and Ku-Mahamud, Ku Ruhana and Idrus, Zanariah (2017) Truck queuing analysis at landfill sites in a waste collection vehicle routing problem. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur. http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap02e/PID160-132-138e.pdf
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Benjamin, Aida Mauziah
Ku-Mahamud, Ku Ruhana
Idrus, Zanariah
Truck queuing analysis at landfill sites in a waste collection vehicle routing problem
description This paper presents an analysis of a truck queuing problem at landfill sites due to a static rest time of truck drivers in a waste collection vehicle routing problem. The analysis is based on a solution of two datasets from a benchmark waste collection problem using the nearest greedy heuristic algorithm.In this problem, all drivers need to have a one-hour rest break during their collection.The rest break can start from 11.00 a.m. to 12.00 p.m. However, based on the solution from a previous study, all drivers have their rest break almost at the same time. Consequently, all drivers travelled to landfill sites to unload waste approximately at the same time.Based on the truck queuing analysis presented in this paper, there is a long queue at landfill site 3 (ten trucks arrived between 2.52 p.m. to 2.53 p.m.) for dataset 1; whereas for dataset 2, 13 trucks arrived at landfill site 1 between 4.10 p.m. to 4.55 p.m. Thus, it may be concluded that the static rest time period of truck drivers can cause truck queuing at landfill sites. Long queues at landfill sites will increase the service time at landfill sites as well as affect the drivers’ arrival time at customers. This paper suggests that future works need to consider a dynamic rest time period in solution techniques to overcome the truck queuing problem at landfill sites for solving the waste collection vehicle routing problem.
format Conference or Workshop Item
author Benjamin, Aida Mauziah
Ku-Mahamud, Ku Ruhana
Idrus, Zanariah
author_facet Benjamin, Aida Mauziah
Ku-Mahamud, Ku Ruhana
Idrus, Zanariah
author_sort Benjamin, Aida Mauziah
title Truck queuing analysis at landfill sites in a waste collection vehicle routing problem
title_short Truck queuing analysis at landfill sites in a waste collection vehicle routing problem
title_full Truck queuing analysis at landfill sites in a waste collection vehicle routing problem
title_fullStr Truck queuing analysis at landfill sites in a waste collection vehicle routing problem
title_full_unstemmed Truck queuing analysis at landfill sites in a waste collection vehicle routing problem
title_sort truck queuing analysis at landfill sites in a waste collection vehicle routing problem
publishDate 2017
url http://repo.uum.edu.my/22812/1/ICOCI%202017%20132-138.pdf
http://repo.uum.edu.my/22812/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap02e/PID160-132-138e.pdf
_version_ 1644283623614971904
score 13.211869

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