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SocolarOpenAcess学术资源 

 VehiclesschedulingwithslidingtimewindowsPeer-Reviewed

     Author(s):

Ferland,JacquesA.;Fortin,Luc

     Source:

RePEcYear:

     Publisher:

     [Abstract]|[FullText]

 Schedulingofroadvehiclesinsugarcanetransport:

AcasestudyatanAustraliansugarmillPeer-Reviewed

     Author(s):

Higgins,Andrew

     Source:

RePEcYear:

     Publisher:

     [Abstract]|[FullText]

VehiclesschedulingwithslidingtimewindowsPeer-Reviewed

Author(s):

Ferland,JacquesA.;Fortin,Luc

Source:

RePEcYear:

Publisher:

[Abstract]|[FullText]

Schedulingofroadvehiclesinsugarcanetransport:

AcasestudyatanAustraliansugarmillPeer-Reviewed

Author(s):

Higgins,Andrew

Source:

RePEcYear:

Publisher:

[Abstract]|[FullText]

Abstract

Inthispaperweintroduceaheuristicapproachforthevehicleschedulingproblemwithslidingtimewindows.Intheproblemwithtimewindows,wetakeadvantageofthefactthatthestartingtimeofeachtaskmustfallwithinagiventimeinterval(i.e.,atimewindow)ratherthanbeingfixed.Here,anotherlevelofflexibilityisaddedbyallowingthetimewindowsofsubsetsoftaskstoslide.Theapproachconsistsofidentifyingpairsoftasksofferinggoodopportunitycostsforreducingtheoverallcost,andfindingwaysofmodifyingthestartingtimestoallowthentobelinked.Thetechniqueisfirstdevelopedfortheproblemwithtimewindowsandthenextendedtothecasewithslidingwindows.Numericalresultsarereportedtoindicatetheefficiencyoftheapproach.

Keywords

∙Scheduling;

∙transportation;

∙heuristics;

∙networkprogramming

ThisresearchwassupportedbyNSERC(GrantA8312)andFCAR(Grant0899).Th

1

ThesecondauthorwasheldingapostgraduatescholarshipfromNSERCtocompletethisresearch.

Schedulingofroadvehiclesinsugarcanetransport:

AcasestudyatanAustraliansugarmill

∙AndrewHiggins

∙CSIROSustainableEcosystems,Level3,QBP,CRCforSustainableSugarProduction,306CarmodyRoad,St.Lucia,Qld4067,Australia

∙Received5January2004.Accepted27July2004.Availableonline18September2004.

∙http:

//dx.doi.org/10.1016/j.ejor.2004.07.055,HowtoCiteorLinkUsingDOI

∙CitedbyinScopus(9)

∙Permissions&Reprints

Viewfulltext

Purchase

1.Introduction

2.Modelformulation

3.Modelsolution

4.ApplicationtotheMaryboroughcasestudy

5.Conclusions

Acknowledgments

References

Abstract

PressuretoremaininternationallycompetitivehasforcedAustraliansugarmillstoreducecapitalandoperationalcosts.Improvedschedulingofroadtransportvehiclesprovidesonesuchopportunity,asitwouldreducevehiclequeueandmillidletimesandhencethenumberofvehiclesneeded.Itisdifficultformilltrafficofficerstoproducegoodtransportschedulesmanuallyduetotheneedtoservicealargenumberofharvestersindifferentlocations.Toaddressthisissue,researchwasundertakenparticipativelywithasugarmillingcompanyinAustraliatoproduceandimplementamixedintegerprogrammingmodelthatrepresentstheroadtransportoperations.Twometa-heuristicswereappliedtofindasolutiontothemodel,leadingtopotentialcostsavingsofAU$240,000peryearversusschedulesproducedmanuallybythemilltrafficofficer.Themodelwasalsoappliedtoexploreregionalplanningoptionsforamoreintegratedharvestingandtransportsystem.

Keywords

∙Agriculture;

∙Vehiclescheduling;

∙Tabusearch;

∙Participatoryresearch

Figuresandtablesfromthisarticle:

Fig.1. CentralMaryboroughsugarregion(about50%ofregion)showingthepositionoffarmsandroadtransportloadingpads(smallblackdots).Themillishighlightedwith∗whilerivers/creeksaresolidcurvesandroadsaredashedlines.

ViewWithinArticle

Fig.2. ConvergenceratesofZ(hours)forthetenruns,TS(left),VNS(right).

ViewWithinArticle

Fig.3. Actualqueuetimerecordedforeachofthe445trailersscheduledduringtheplanninghorizon.

ViewWithinArticle

Fig.4. Queuetimeforthe445trailerswhenthetransportschedulewasproducedusingTS.

ViewWithinArticle

Fig.5. Hoursofharvestfortheexistingsystem(left)versusthe18hourtimewindowscenario(right).

ViewWithinArticle

Table1.Illustrationoftheneighbourhoodsforthesugarcaneroadtransportschedulingproblemusingatwovehicle,12trailerinstance

ViewWithinArticle

Table2.ComparisonofTSandVNSwhereμZistheaveragetotaltrailerqueuetimeplusmillidletimeofthetenruns,σisthestandarddeviation,and“Best”and“Worst”arethebestandworstsolutionsfoundamongstthetenruns

ViewWithinArticle

Table3.Impactsontransportforthedifferentscenarios

ViewWithinArticle

EuropeanJournalofOperationalResearch

Volume170,Issue3,1May2006,Pages987-1000

Schedulingofroadvehiclesinsugarcanetransport:

AcasestudyatanAustraliansugarmill

Higgins,A.

  

CSIROSustainableEcosystems,Level3,CRCforSustainableSugarProduction,306CarmodyRoad,St.Lucia,QLD4067,Australia

Viewreferences

Abstract

PressuretoremaininternationallycompetitivehasforcedAustraliansugarmillstoreducecapitalandoperationalcosts.Improvedschedulingofroadtransportvehiclesprovidesonesuchopportunity,asitwouldreducevehiclequeueandmillidletimesandhencethenumberofvehiclesneeded.Itisdifficultformilltrafficofficerstoproducegoodtransportschedulesmanuallyduetotheneedtoservicealargenumberofharvestersindifferentlocations.Toaddressthisissue,researchwasundertakenparticipativelywithasugarmillingcompanyinAustraliatoproduceandimplementamixedintegerprogrammingmodelthatrepresentstheroadtransportoperations.Twometa-heuristicswereappliedtofindasolutiontothemodel,leadingtopotentialcostsavingsofAU$240,000peryearversusschedulesproducedmanuallybythemilltrafficofficer.Themodelwasalsoappliedtoexploreregionalplanningoptionsforamoreintegratedharvestingandtransportsystem.©2004ElsevierB.V.Allrightsreserved.

ReaxysDatabaseInformation

|

Authorkeywords

Agriculture;Participatoryresearch;Tabusearch;Vehiclescheduling

IndexedKeywords

Engineeringcontrolledterms:

Costs;Crops;Harvesting;Integerprogramming;Mathematicalmodels;Operationsresearch;Scheduling;Sugar(sucrose)

Engineeringuncontrolledterms:

Participatoryresearch;Tabusearch;Vehiclescheduling

Engineeringmainheading:

Groundvehicles

PaperChemVariable:

Costs;Harvesting;Models;Scheduling;Sugar;SugarCane;Vehicles

ISSN:

03772217CODEN:

EJORDSourceType:

JournalOriginallanguage:

English

DOI:

10.1016/j.ejor.2004.07.055DocumentType:

Article

 Higgins,A.;CSIROSustainableEcosystems,Level3,CRCforSustainableSugarProduction,306CarmodyRoad,St.Lucia,QLD4067,Australia;

©Copyright2008ElsevierB.V.,Allrightsreserved.

EuropeanJournalofOperationalResearch

Volume38,Issue2,25January1989,Pages213-226

Vehiclesschedulingwithslidingtimewindows

Ferland,J.A.,Fortin,L. 

Departmentd'informatiqueetderechercheoperationnelle,UniversitédeMontréal,Montréal,Que.H3C3J7,Canada

Viewreferences

Abstract

Inthispaperweintroduceaheuristicapproachforthevehicleschedulingproblemwithslidingtimewindows.Intheproblemwithtimewindows,wetakeadvantageofthefactthatthestartingtimeofeachtaskmustfallwithinagiventimeinterval(i.e.,atimewindow)ratherthanbeingfixed.Here,anotherlevelofflexibilityisaddedbyallowingthetimewindowsofsubsetsoftaskstoslide.Theapproachconsistsofidentifyingpairsoftasksofferinggoodopportunitycostsforreducingtheoverallcost,andfindingwaysofmodifyingthestartingtimestoallowthentobelinked.Thetechniqueisfirstdevelopedfortheproblemwithtimewindowsandthenextendedtothecasewithslidingwindows.Numericalresultsarereportedtoindicatetheefficiencyoftheapproach.©1989.

ReaxysDatabaseInformation

|

Authorkeywords

heuristics;networkprogramming;Scheduling;transportation

IndexedKeywords

Engineeringcontrolledterms:

ComputerProgramming--Algorithms;OperationsResearch

Engineeringuncontrolledterms:

AlgorithmSlidingWindow(ASW);NetworkProgramming;SlidingTimeWindows;VehiclesScheduling

Engineeringmainheading:

Transportation

ISSN:

03772217CODEN:

EJORDSourceType:

JournalOriginallanguage:

English

DocumentType:

Article

 Ferland,J.A.;Departmentd'informatiqueetderechercheoperationnelle,UniversitédeMontréal,Montréal,Que.H3C3J7,Canada

©Copyright2008ElsevierB.V.,Allrightsreserved.

2

EuropeanJournalofOperationalResearch

Volume170,Issue3,1May2006,Pages987-1000

Schedulingofroadvehiclesinsugarcanetransport:

AcasestudyatanAustraliansugarmill

Higgins,A.

  

CSIROSustainableEcosystems,Level3,CRCforSustainableSugarProduction,306CarmodyRoad,St.Lucia,QLD4067,Australia

Viewreferences

Abstract

PressuretoremaininternationallycompetitivehasforcedAustraliansugarmillstoreducecapitalandoperationalcosts.Improvedschedulingofroadtransportvehiclesprovidesonesuchopportunity,asitwouldreducevehiclequeueandmillidletimesandhencethenumberofvehiclesneeded.Itisdifficultformilltrafficofficerstoproducegoodtransportschedulesmanuallyduetotheneedtoservicealargenumberofharvestersindifferentlocations.Toaddressthisissue,researchwasundertakenparticipativelywithasugarmillingcompanyinAustraliatoproduceandimplementamixedintegerprogrammingmode

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