Cooperative Scheduling of AGV and ASC in Automation Container Terminal Relay Operation Mode
The key problem of operation optimization for automated container terminal is the coordinated scheduling of automated quay crane (QC), automated guided vehicle (AGV), and automated stacking crane (ASC). In order to solve this problem, this paper proposed a new method to optimize the scheduling of AS...
Gespeichert in:
Veröffentlicht in: | Mathematical problems in engineering 2021, Vol.2021, p.1-18 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 18 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | Mathematical problems in engineering |
container_volume | 2021 |
creator | Zhang, Qinglei Hu, Weixin Duan, Jianguo Qin, Jiyun |
description | The key problem of operation optimization for automated container terminal is the coordinated scheduling of automated quay crane (QC), automated guided vehicle (AGV), and automated stacking crane (ASC). In order to solve this problem, this paper proposed a new method to optimize the scheduling of ASC and AGV. In the automated container terminal, each container block is equipped with twin ASCs. At the same time, buffer zones are set at both ends of the container block to achieve the decoupling operation among ASC, AGV, and container truck. Considering the buffer capacity constraint and twin ASC operation interference, and introducing the design of handshake area, this paper developed a collaborative scheduling model of AGV and ASC in automatic terminal relay operation mode. This model is designed based on the genetic algorithm. The model aims to minimize the AGV waiting time and the ASC running time. The results indicated that the introduction of handshake area can effectively reduce the ASC operation interference by 10.56% on average. Also, it can be found that increasing buffer capacity can reduce the waiting time of AGV by about 4.25% on average, and the effect of relay operation is more obvious in large-scale operation. It was proved that buffer zone and handshake area can reduce task delay time and improve coordination between AGV and ASC. |
doi_str_mv | 10.1155/2021/5764012 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2484173624</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2484173624</sourcerecordid><originalsourceid>FETCH-LOGICAL-c380t-12afaf23d0a72f2db504ac6a5747984bf294e22edd044ac636ad70c1e52038233</originalsourceid><addsrcrecordid>eNp90EFLwzAUB_AgCs7pzQ8Q8Kh1yUvSdsdSdAqTgZsieChZk7qMLplpq-zbm9KdPb0H78efxx-ha0ruKRViAgToRCQxJxRO0IiKmEWC8uQ07AR4RIF9nKOLptmSIAVNR-gzd26vvWzNj8bLcqNVVxv7hV2Fs9k7llbhbJljY3HWtW4XnLM4d7aVxmqPV9rvjJU1ftW1PODFEBXIi1P6Ep1Vsm701XGO0dvjwyp_iuaL2XOezaOSpaQNX8lKVsAUkQlUoNaCcFnGUiQ8maZ8XcGUawCtFOH9gcVSJaSkWgBhKTA2RjdD7t677043bbF1nQ9fNQXwlNOExcCDuhtU6V3TeF0Ve2920h8KSoq-vqKvrzjWF_jtwDfGKvlr_td_HEhtuA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2484173624</pqid></control><display><type>article</type><title>Cooperative Scheduling of AGV and ASC in Automation Container Terminal Relay Operation Mode</title><source>Wiley Online Library Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Zhang, Qinglei ; Hu, Weixin ; Duan, Jianguo ; Qin, Jiyun</creator><contributor>Hanne, Thomas ; Thomas Hanne</contributor><creatorcontrib>Zhang, Qinglei ; Hu, Weixin ; Duan, Jianguo ; Qin, Jiyun ; Hanne, Thomas ; Thomas Hanne</creatorcontrib><description>The key problem of operation optimization for automated container terminal is the coordinated scheduling of automated quay crane (QC), automated guided vehicle (AGV), and automated stacking crane (ASC). In order to solve this problem, this paper proposed a new method to optimize the scheduling of ASC and AGV. In the automated container terminal, each container block is equipped with twin ASCs. At the same time, buffer zones are set at both ends of the container block to achieve the decoupling operation among ASC, AGV, and container truck. Considering the buffer capacity constraint and twin ASC operation interference, and introducing the design of handshake area, this paper developed a collaborative scheduling model of AGV and ASC in automatic terminal relay operation mode. This model is designed based on the genetic algorithm. The model aims to minimize the AGV waiting time and the ASC running time. The results indicated that the introduction of handshake area can effectively reduce the ASC operation interference by 10.56% on average. Also, it can be found that increasing buffer capacity can reduce the waiting time of AGV by about 4.25% on average, and the effect of relay operation is more obvious in large-scale operation. It was proved that buffer zone and handshake area can reduce task delay time and improve coordination between AGV and ASC.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2021/5764012</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Automated guided vehicles ; Automation ; Buffer zones ; Collaboration ; Containers ; Cranes ; Decoupling ; Delay time ; Efficiency ; Genetic algorithms ; Integer programming ; Interference ; Linear programming ; Optimization ; Ports ; Relay ; Scheduling ; Transport buildings, stations and terminals</subject><ispartof>Mathematical problems in engineering, 2021, Vol.2021, p.1-18</ispartof><rights>Copyright © 2021 Qinglei Zhang et al.</rights><rights>Copyright © 2021 Qinglei Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c380t-12afaf23d0a72f2db504ac6a5747984bf294e22edd044ac636ad70c1e52038233</citedby><cites>FETCH-LOGICAL-c380t-12afaf23d0a72f2db504ac6a5747984bf294e22edd044ac636ad70c1e52038233</cites><orcidid>0000-0002-5884-2556</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><contributor>Hanne, Thomas</contributor><contributor>Thomas Hanne</contributor><creatorcontrib>Zhang, Qinglei</creatorcontrib><creatorcontrib>Hu, Weixin</creatorcontrib><creatorcontrib>Duan, Jianguo</creatorcontrib><creatorcontrib>Qin, Jiyun</creatorcontrib><title>Cooperative Scheduling of AGV and ASC in Automation Container Terminal Relay Operation Mode</title><title>Mathematical problems in engineering</title><description>The key problem of operation optimization for automated container terminal is the coordinated scheduling of automated quay crane (QC), automated guided vehicle (AGV), and automated stacking crane (ASC). In order to solve this problem, this paper proposed a new method to optimize the scheduling of ASC and AGV. In the automated container terminal, each container block is equipped with twin ASCs. At the same time, buffer zones are set at both ends of the container block to achieve the decoupling operation among ASC, AGV, and container truck. Considering the buffer capacity constraint and twin ASC operation interference, and introducing the design of handshake area, this paper developed a collaborative scheduling model of AGV and ASC in automatic terminal relay operation mode. This model is designed based on the genetic algorithm. The model aims to minimize the AGV waiting time and the ASC running time. The results indicated that the introduction of handshake area can effectively reduce the ASC operation interference by 10.56% on average. Also, it can be found that increasing buffer capacity can reduce the waiting time of AGV by about 4.25% on average, and the effect of relay operation is more obvious in large-scale operation. It was proved that buffer zone and handshake area can reduce task delay time and improve coordination between AGV and ASC.</description><subject>Automated guided vehicles</subject><subject>Automation</subject><subject>Buffer zones</subject><subject>Collaboration</subject><subject>Containers</subject><subject>Cranes</subject><subject>Decoupling</subject><subject>Delay time</subject><subject>Efficiency</subject><subject>Genetic algorithms</subject><subject>Integer programming</subject><subject>Interference</subject><subject>Linear programming</subject><subject>Optimization</subject><subject>Ports</subject><subject>Relay</subject><subject>Scheduling</subject><subject>Transport buildings, stations and terminals</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp90EFLwzAUB_AgCs7pzQ8Q8Kh1yUvSdsdSdAqTgZsieChZk7qMLplpq-zbm9KdPb0H78efxx-ha0ruKRViAgToRCQxJxRO0IiKmEWC8uQ07AR4RIF9nKOLptmSIAVNR-gzd26vvWzNj8bLcqNVVxv7hV2Fs9k7llbhbJljY3HWtW4XnLM4d7aVxmqPV9rvjJU1ftW1PODFEBXIi1P6Ep1Vsm701XGO0dvjwyp_iuaL2XOezaOSpaQNX8lKVsAUkQlUoNaCcFnGUiQ8maZ8XcGUawCtFOH9gcVSJaSkWgBhKTA2RjdD7t677043bbF1nQ9fNQXwlNOExcCDuhtU6V3TeF0Ve2920h8KSoq-vqKvrzjWF_jtwDfGKvlr_td_HEhtuA</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Zhang, Qinglei</creator><creator>Hu, Weixin</creator><creator>Duan, Jianguo</creator><creator>Qin, Jiyun</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-5884-2556</orcidid></search><sort><creationdate>2021</creationdate><title>Cooperative Scheduling of AGV and ASC in Automation Container Terminal Relay Operation Mode</title><author>Zhang, Qinglei ; Hu, Weixin ; Duan, Jianguo ; Qin, Jiyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-12afaf23d0a72f2db504ac6a5747984bf294e22edd044ac636ad70c1e52038233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Automated guided vehicles</topic><topic>Automation</topic><topic>Buffer zones</topic><topic>Collaboration</topic><topic>Containers</topic><topic>Cranes</topic><topic>Decoupling</topic><topic>Delay time</topic><topic>Efficiency</topic><topic>Genetic algorithms</topic><topic>Integer programming</topic><topic>Interference</topic><topic>Linear programming</topic><topic>Optimization</topic><topic>Ports</topic><topic>Relay</topic><topic>Scheduling</topic><topic>Transport buildings, stations and terminals</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Qinglei</creatorcontrib><creatorcontrib>Hu, Weixin</creatorcontrib><creatorcontrib>Duan, Jianguo</creatorcontrib><creatorcontrib>Qin, Jiyun</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Qinglei</au><au>Hu, Weixin</au><au>Duan, Jianguo</au><au>Qin, Jiyun</au><au>Hanne, Thomas</au><au>Thomas Hanne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cooperative Scheduling of AGV and ASC in Automation Container Terminal Relay Operation Mode</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2021</date><risdate>2021</risdate><volume>2021</volume><spage>1</spage><epage>18</epage><pages>1-18</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>The key problem of operation optimization for automated container terminal is the coordinated scheduling of automated quay crane (QC), automated guided vehicle (AGV), and automated stacking crane (ASC). In order to solve this problem, this paper proposed a new method to optimize the scheduling of ASC and AGV. In the automated container terminal, each container block is equipped with twin ASCs. At the same time, buffer zones are set at both ends of the container block to achieve the decoupling operation among ASC, AGV, and container truck. Considering the buffer capacity constraint and twin ASC operation interference, and introducing the design of handshake area, this paper developed a collaborative scheduling model of AGV and ASC in automatic terminal relay operation mode. This model is designed based on the genetic algorithm. The model aims to minimize the AGV waiting time and the ASC running time. The results indicated that the introduction of handshake area can effectively reduce the ASC operation interference by 10.56% on average. Also, it can be found that increasing buffer capacity can reduce the waiting time of AGV by about 4.25% on average, and the effect of relay operation is more obvious in large-scale operation. It was proved that buffer zone and handshake area can reduce task delay time and improve coordination between AGV and ASC.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2021/5764012</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-5884-2556</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1024-123X |
ispartof | Mathematical problems in engineering, 2021, Vol.2021, p.1-18 |
issn | 1024-123X 1563-5147 |
language | eng |
recordid | cdi_proquest_journals_2484173624 |
source | Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Automated guided vehicles Automation Buffer zones Collaboration Containers Cranes Decoupling Delay time Efficiency Genetic algorithms Integer programming Interference Linear programming Optimization Ports Relay Scheduling Transport buildings, stations and terminals |
title | Cooperative Scheduling of AGV and ASC in Automation Container Terminal Relay Operation Mode |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T14%3A03%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cooperative%20Scheduling%20of%20AGV%20and%20ASC%20in%20Automation%20Container%20Terminal%20Relay%20Operation%20Mode&rft.jtitle=Mathematical%20problems%20in%20engineering&rft.au=Zhang,%20Qinglei&rft.date=2021&rft.volume=2021&rft.spage=1&rft.epage=18&rft.pages=1-18&rft.issn=1024-123X&rft.eissn=1563-5147&rft_id=info:doi/10.1155/2021/5764012&rft_dat=%3Cproquest_cross%3E2484173624%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2484173624&rft_id=info:pmid/&rfr_iscdi=true |