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1、CIRPAnnals-ManufacturingTechnology61(2012)459–462ContentslistsavailableatSciVerseScienceDirectCIRPAnnals-ManufacturingTechnologyjournalhomepage:http://ees.elsevier.com/cirp/default.aspEnergy-awareschedulingforimprovingmanufacturingprocesssustainability:Amathe
2、maticalmodelforflexibleflowshopsa,*,bbaA.A.G.Bruzzone(1)D.Anghinolfi,M.Paolucci,F.TonelliaDIME,UniversityofGenoa,ViaOperaPia15,16145Genoa,ItalybDIST,UniversityofGenoa,ViaOperaPia13,16145Genoa,ItalyARTICLEINFOABSTRACTKeywords:Energy-awareEnergyscheduling(EAS)ofma
3、nufacturingprocessesdemandsamathematicalmodeltooptimallyplanenergysavingforagivenschedule.TheproposedapproachstartsfromareferencescheduleSchedulinggeneratedbyanadvancedplanningandscheduling(APS)systemwhichdoesnotconsiderenergysaving.PlanningThenewapproachreli
4、esonamixedintegerprogramming(MIP)modelwherethereferencescheduleismodifiedtoaccountforenergyconsumptionwithoutchangingthejobs’assignmentandsequencingprovidedbythereferenceschedule.Theapplicabilityoftheapproachhasbeenvalidatedthroughatestcase;theresultsobtainedu
5、singonecommercialMIPsolverandanoriginalMIP-heuristicarediscussed.ß2012CIRP.1.Introductionmeasuring,analysing,controlling,andschedulingofmaterialandenergyflows[6,7].Literaturereportsnumerouson-linealgorithms,Thecurrentenergypricingpolicycompelsmanufacturingintr
6、insicallynotefficientforthepredictiveplanningofmanufac-industrytoreconsiderenergyefficiencyandsaving;manufactur-turingsystems,wherethejobsprocessingareaprioriknown.Onlyingis,indeed,responsiblefor31%ofprimaryenergyconsumptionfewexamplesofenergy-awarescheduling(E
7、AS)areavailable,e.g.and36%ofCO2emissions[1].TheEuropeanCommunitytargetsto[8];howevertheseapproachesrequireadetailedknowledgeofthereducetheprimaryenergyconsumptionof20%withinthe2020;powerprofileofeachmachinetool.accordinglyimprovingsustainablemanufacturingrequi
8、resaThispaperproposestheintegrationofanEASmodule,withanrevolutionaryapproachinconsideringenergyefficiencyandadvancedplanningandscheduling(APS)system,incorporatingasavingaspects,withresulti