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2 个结果
  • 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.

  • 标签: Multi-agent simulation artificial SOCIETY MULTI-OBJECTIVE optimization