简介：

简介：Inrecentyears,accidentsandproductrecallscausedbyproductdefectshavebecomeimportantproblemsinnumerousindustriesworldwide.Nevertheless,mostexistingstudieshaveexaminedproductrecallsusingempiricalapproaches.Toimproveproductrecallsystems,westudiedsocialsimulationusingamulti-agentsystemwithaco-evolutionmodel.Thisresearchisimportantbecauseempiricalapproachesarenolongeradequateforcomplexanddiversemodernsocieties.Discussionsusingquantitativeandpredictiveapproaches,includingagent-basedsimulation,arethereforeexpected.Forthisstudy,weusedaLayeredCo-evolutionModeltoreflectsituationsoftherealsocietyusingproduceragentsandconsumeragents.Additionally,weappliedmulti-objectiveoptimizationtechniquestointroducepricecompetitionsituationsintoanartificialsociety.Weconductedasimulationexperiment,fromwhichwediscoveredthepossibilitiesthatcostreductionforhuge-scaleproductrecallsisefficient,andthatpunishmentofproducersthatconductnoproductrecallscanbenefitconsumers.Webelievethisworkcancontributetosupportingnotonlygovernmentstaffforimprovingproductrecallsystems,butalsoexecutiveofficersofproductcompaniesfordeliberatingtheirstrategiesofrecalldecisions.