Loading…

Two heuristic solution concepts for the vehicle selection problem in line haul transports

► A mathematical model for vehicle selection for line haul in hub-and-spoke networks is developed. ► Two different heuristic solution concepts are proposed based on real life problem properties. ► Their efficiency for different generated problems is analyzed. ► Conditions are stated in which cases s...

Full description

Saved in:
Bibliographic Details
Published in:European journal of operational research 2012-03, Vol.217 (2), p.448-458
Main Authors: Zäpfel, Günther, Bögl, Michael
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c443t-55412721ba9856beb4631dece6c46b5a3f77b9400b893f65ea8c0eb70c13dc183
cites cdi_FETCH-LOGICAL-c443t-55412721ba9856beb4631dece6c46b5a3f77b9400b893f65ea8c0eb70c13dc183
container_end_page 458
container_issue 2
container_start_page 448
container_title European journal of operational research
container_volume 217
creator Zäpfel, Günther
Bögl, Michael
description ► A mathematical model for vehicle selection for line haul in hub-and-spoke networks is developed. ► Two different heuristic solution concepts are proposed based on real life problem properties. ► Their efficiency for different generated problems is analyzed. ► Conditions are stated in which cases such heuristic solution concepts lead to good results. In this article we will develop a mathematical model for a cost-efficient selection of vehicles with varying capacities for line haul transports with leasing options. For this integer optimization problem, which is a variant of the generalized assignment problem known as NP-hard, we will compare two heuristic solution concepts and try to answer the question in which cases a user should choose an exact or approximate solution concept depending on different data instances of the problem.
doi_str_mv 10.1016/j.ejor.2011.09.010
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_963865368</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0377221711008137</els_id><sourcerecordid>2508492251</sourcerecordid><originalsourceid>FETCH-LOGICAL-c443t-55412721ba9856beb4631dece6c46b5a3f77b9400b893f65ea8c0eb70c13dc183</originalsourceid><addsrcrecordid>eNp9kEFv1DAQhS1EJZaWP8DJQkKcEsZ2bCcSF1QBrVSJSzn0ZDneidaRN148SRH_vglbceDAaS7fe_P0MfZWQC1AmI9jjWMutQQhauhqEPCC7URrZWVaAy_ZDpS1lZTCvmKviUYAEFroHXu4_5X5AZcSaY6BU07LHPPEQ54CnmbiQy58PiB_xEMMCTlhwvAHOZXcJzzyOPEUJ-QHvyQ-Fz_RKZeZrtjF4BPhm-d7yX58_XJ_fVPdff92e_35rgpNo-ZK60ZIK0Xvu1abHvvGKLHHgCY0ptdeDdb2XQPQt50ajEbfBsDeQhBqH0SrLtmHc--65-eCNLtjpIAp-QnzQq4zqjVamY189w855qVM6zjXgZJCtWqD5BkKJRMVHNypxKMvv50At7l2o9tcu821g86trtfQ--dmT8GnYZUQIv1NSm2kVXbjPp05XIU8RiyOQsTV9D6W1arb5_i_N0_3npVK</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>903213838</pqid></control><display><type>article</type><title>Two heuristic solution concepts for the vehicle selection problem in line haul transports</title><source>ScienceDirect Journals</source><creator>Zäpfel, Günther ; Bögl, Michael</creator><creatorcontrib>Zäpfel, Günther ; Bögl, Michael</creatorcontrib><description>► A mathematical model for vehicle selection for line haul in hub-and-spoke networks is developed. ► Two different heuristic solution concepts are proposed based on real life problem properties. ► Their efficiency for different generated problems is analyzed. ► Conditions are stated in which cases such heuristic solution concepts lead to good results. In this article we will develop a mathematical model for a cost-efficient selection of vehicles with varying capacities for line haul transports with leasing options. For this integer optimization problem, which is a variant of the generalized assignment problem known as NP-hard, we will compare two heuristic solution concepts and try to answer the question in which cases a user should choose an exact or approximate solution concept depending on different data instances of the problem.</description><identifier>ISSN: 0377-2217</identifier><identifier>EISSN: 1872-6860</identifier><identifier>DOI: 10.1016/j.ejor.2011.09.010</identifier><identifier>CODEN: EJORDT</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Approximation ; Assignment problem ; Decision theory. Utility theory ; Exact sciences and technology ; Flows in networks. Combinatorial problems ; Freight ; Heuristic ; Heuristics ; Integer programming ; Leasing ; Logistics ; Mathematical models ; Operational research ; Operational research and scientific management ; Operational research. Management science ; Optimization ; Planning model for line haul transport ; Studies ; Transport ; Vehicle selection in networks ; Vehicles</subject><ispartof>European journal of operational research, 2012-03, Vol.217 (2), p.448-458</ispartof><rights>2011 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Elsevier Sequoia S.A. Mar 1, 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-55412721ba9856beb4631dece6c46b5a3f77b9400b893f65ea8c0eb70c13dc183</citedby><cites>FETCH-LOGICAL-c443t-55412721ba9856beb4631dece6c46b5a3f77b9400b893f65ea8c0eb70c13dc183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=25627370$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zäpfel, Günther</creatorcontrib><creatorcontrib>Bögl, Michael</creatorcontrib><title>Two heuristic solution concepts for the vehicle selection problem in line haul transports</title><title>European journal of operational research</title><description>► A mathematical model for vehicle selection for line haul in hub-and-spoke networks is developed. ► Two different heuristic solution concepts are proposed based on real life problem properties. ► Their efficiency for different generated problems is analyzed. ► Conditions are stated in which cases such heuristic solution concepts lead to good results. In this article we will develop a mathematical model for a cost-efficient selection of vehicles with varying capacities for line haul transports with leasing options. For this integer optimization problem, which is a variant of the generalized assignment problem known as NP-hard, we will compare two heuristic solution concepts and try to answer the question in which cases a user should choose an exact or approximate solution concept depending on different data instances of the problem.</description><subject>Applied sciences</subject><subject>Approximation</subject><subject>Assignment problem</subject><subject>Decision theory. Utility theory</subject><subject>Exact sciences and technology</subject><subject>Flows in networks. Combinatorial problems</subject><subject>Freight</subject><subject>Heuristic</subject><subject>Heuristics</subject><subject>Integer programming</subject><subject>Leasing</subject><subject>Logistics</subject><subject>Mathematical models</subject><subject>Operational research</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Optimization</subject><subject>Planning model for line haul transport</subject><subject>Studies</subject><subject>Transport</subject><subject>Vehicle selection in networks</subject><subject>Vehicles</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kEFv1DAQhS1EJZaWP8DJQkKcEsZ2bCcSF1QBrVSJSzn0ZDneidaRN148SRH_vglbceDAaS7fe_P0MfZWQC1AmI9jjWMutQQhauhqEPCC7URrZWVaAy_ZDpS1lZTCvmKviUYAEFroHXu4_5X5AZcSaY6BU07LHPPEQ54CnmbiQy58PiB_xEMMCTlhwvAHOZXcJzzyOPEUJ-QHvyQ-Fz_RKZeZrtjF4BPhm-d7yX58_XJ_fVPdff92e_35rgpNo-ZK60ZIK0Xvu1abHvvGKLHHgCY0ptdeDdb2XQPQt50ajEbfBsDeQhBqH0SrLtmHc--65-eCNLtjpIAp-QnzQq4zqjVamY189w855qVM6zjXgZJCtWqD5BkKJRMVHNypxKMvv50At7l2o9tcu821g86trtfQ--dmT8GnYZUQIv1NSm2kVXbjPp05XIU8RiyOQsTV9D6W1arb5_i_N0_3npVK</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Zäpfel, Günther</creator><creator>Bögl, Michael</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7TA</scope><scope>JG9</scope></search><sort><creationdate>20120301</creationdate><title>Two heuristic solution concepts for the vehicle selection problem in line haul transports</title><author>Zäpfel, Günther ; Bögl, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-55412721ba9856beb4631dece6c46b5a3f77b9400b893f65ea8c0eb70c13dc183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Applied sciences</topic><topic>Approximation</topic><topic>Assignment problem</topic><topic>Decision theory. Utility theory</topic><topic>Exact sciences and technology</topic><topic>Flows in networks. Combinatorial problems</topic><topic>Freight</topic><topic>Heuristic</topic><topic>Heuristics</topic><topic>Integer programming</topic><topic>Leasing</topic><topic>Logistics</topic><topic>Mathematical models</topic><topic>Operational research</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Optimization</topic><topic>Planning model for line haul transport</topic><topic>Studies</topic><topic>Transport</topic><topic>Vehicle selection in networks</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zäpfel, Günther</creatorcontrib><creatorcontrib>Bögl, Michael</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Materials Business File</collection><collection>Materials Research Database</collection><jtitle>European journal of operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zäpfel, Günther</au><au>Bögl, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two heuristic solution concepts for the vehicle selection problem in line haul transports</atitle><jtitle>European journal of operational research</jtitle><date>2012-03-01</date><risdate>2012</risdate><volume>217</volume><issue>2</issue><spage>448</spage><epage>458</epage><pages>448-458</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>► A mathematical model for vehicle selection for line haul in hub-and-spoke networks is developed. ► Two different heuristic solution concepts are proposed based on real life problem properties. ► Their efficiency for different generated problems is analyzed. ► Conditions are stated in which cases such heuristic solution concepts lead to good results. In this article we will develop a mathematical model for a cost-efficient selection of vehicles with varying capacities for line haul transports with leasing options. For this integer optimization problem, which is a variant of the generalized assignment problem known as NP-hard, we will compare two heuristic solution concepts and try to answer the question in which cases a user should choose an exact or approximate solution concept depending on different data instances of the problem.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ejor.2011.09.010</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0377-2217
ispartof European journal of operational research, 2012-03, Vol.217 (2), p.448-458
issn 0377-2217
1872-6860
language eng
recordid cdi_proquest_miscellaneous_963865368
source ScienceDirect Journals
subjects Applied sciences
Approximation
Assignment problem
Decision theory. Utility theory
Exact sciences and technology
Flows in networks. Combinatorial problems
Freight
Heuristic
Heuristics
Integer programming
Leasing
Logistics
Mathematical models
Operational research
Operational research and scientific management
Operational research. Management science
Optimization
Planning model for line haul transport
Studies
Transport
Vehicle selection in networks
Vehicles
title Two heuristic solution concepts for the vehicle selection problem in line haul transports
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T20%3A50%3A14IST&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=Two%20heuristic%20solution%20concepts%20for%20the%20vehicle%20selection%20problem%20in%20line%20haul%20transports&rft.jtitle=European%20journal%20of%20operational%20research&rft.au=Z%C3%A4pfel,%20G%C3%BCnther&rft.date=2012-03-01&rft.volume=217&rft.issue=2&rft.spage=448&rft.epage=458&rft.pages=448-458&rft.issn=0377-2217&rft.eissn=1872-6860&rft.coden=EJORDT&rft_id=info:doi/10.1016/j.ejor.2011.09.010&rft_dat=%3Cproquest_cross%3E2508492251%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c443t-55412721ba9856beb4631dece6c46b5a3f77b9400b893f65ea8c0eb70c13dc183%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=903213838&rft_id=info:pmid/&rfr_iscdi=true