炼厂生产计划优化模型(英文).docx

炼厂生产计划优化模型(英文)
OptimizationModelforRefineryProductionPlanning
Introduction
Refineryproductionplanninginvolvestheallocationofresourcestothevariousstagesoftheproductionprocess,suchasrefining,storage,transportation,anddistribution.Theobjectiveofrefineryproductionplanningistomaximizeprofitswhilemeetingthedemandforthedifferentpetroleumproducts.Thisisacomplextask,asitinvolvestheoptimizationofvariousparameters,suchasthecrudeoilinput,theprocessingrate,storagecapacity,productpricing,andtransportationlogistics.Anoptimizationmodelcanhelprefinerymanagersmakeinformeddecisionsbyprovidingaframeworkforevaluatingdifferentscenariosandidentifyingthemostprofitableproductionplan.
ProblemStatement
Therefineryproductionplanningprocessispronetouncertaintiesthatcanaffecttheprofitabilityofthebusiness.Theuncertaintiesincludechangesinthedemandforpetroleumproducts,fluctuationsincrudeoilprices,equipmentfailures,andsupplychaindisruptions,amongothers.Thechallengeistodevelopanoptimizationmodelthatcanhandletheseuncertaintiesandgeneraterobustproductionplansthatareresilienttounexpectedevents.
ModelFormulation
Therefineryproductionplanningmodelcanbedividedintofourmaincomponents:demandforecasting,productionplanning,scheduling,andlogisticsoptimization.Thedemandforecastingcomponentpredictsthedemandforeachproductoveraspecifiedplanninghorizon,typicallyonemonthoronequarter.Theproductionplanningcomponentdeterminestheoptimalcrudeoilinput,processingrate,andproductmixtomeettheforecasteddemandwhilemaximizingprofits.Theschedulingcomponentassignstheproductiontaskstotheavailableprocessingunitswhileconsideringthecapacityconstraintsandtheequipmentmaintenancerequirements.Thelogisticsoptimizationcomponentdeterminestheoptimaltransportationroutesandquantitiestodelivertheproductstothecustomerswhileminimizingthetransportationcostsandmeetingthedeliverydeadlines.
Theoptimizationmodelcanbeformulatedasamixed-integerlinearprogramming(MILP)problem,wheretheobjectivefunctionistomaximizetheprofit,subjecttothefollowingconstraints:
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