多目标多产品广告牌定位模型及吸引因子数学建模与求解

Int. J. Appl. Logist. Pub Date : 1900-01-01 DOI:10.4018/IJAL.2017010104

Reza Lotfi, Y. Z. Mehrjerdi, N. Mardani

{"title":"多目标多产品广告牌定位模型及吸引因子数学建模与求解","authors":"Reza Lotfi, Y. Z. Mehrjerdi, N. Mardani","doi":"10.4018/IJAL.2017010104","DOIUrl":null,"url":null,"abstract":"Locationofadvertisingisoneofthemostimportantfactorsofmarketingstrategy,asfindingthe bestlocationtoinstalladvertisingbillboardscanhaveamajorimpactonprofitabilityoftheentire marketingprocess.Thispaperprovidesabillboardlocationmodel,whichcandeterminetheoptimal locationsforinstallingsuchbillboards.Themulti-objectiveandmulti-productmodeldevelopedfor thispurposehastwoobjectivefunctions:optimizingthesalesprofitminusthecostsofdesigningand installingthebillboards,andattractingmostvisitorsthroughmaximizationofanattractionfactor. Thedesigningcostisassumedtobeassociatedwiththeattractionfactor.Thismodelfindsthebest locationofbillboardsbasedonconstraintsuchasnumberofvisitsandsalesvolume.Finally,aset ofsmalland large-scalenumericalexamplesaresolvedby implementing thesolutionmethod in GAMS\\Cplexsolversoftware.Tosolvethelarge-scalevariantsoftheproblem,thegeneticalgorithm. KeywORdS Advertising Billboard, Genetic Algorithm, Location, Multi-Objective, Multi-Product","PeriodicalId":443888,"journal":{"name":"Int. J. Appl. Logist.","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"A Multi-Objective and Multi-Product Advertising Billboard Location Model with Attraction Factor Mathematical Modeling and Solutions\",\"authors\":\"Reza Lotfi, Y. Z. Mehrjerdi, N. Mardani\",\"doi\":\"10.4018/IJAL.2017010104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Locationofadvertisingisoneofthemostimportantfactorsofmarketingstrategy,asfindingthe bestlocationtoinstalladvertisingbillboardscanhaveamajorimpactonprofitabilityoftheentire marketingprocess.Thispaperprovidesabillboardlocationmodel,whichcandeterminetheoptimal locationsforinstallingsuchbillboards.Themulti-objectiveandmulti-productmodeldevelopedfor thispurposehastwoobjectivefunctions:optimizingthesalesprofitminusthecostsofdesigningand installingthebillboards,andattractingmostvisitorsthroughmaximizationofanattractionfactor. Thedesigningcostisassumedtobeassociatedwiththeattractionfactor.Thismodelfindsthebest locationofbillboardsbasedonconstraintsuchasnumberofvisitsandsalesvolume.Finally,aset ofsmalland large-scalenumericalexamplesaresolvedby implementing thesolutionmethod in GAMS\\\\Cplexsolversoftware.Tosolvethelarge-scalevariantsoftheproblem,thegeneticalgorithm. KeywORdS Advertising Billboard, Genetic Algorithm, Location, Multi-Objective, Multi-Product\",\"PeriodicalId\":443888,\"journal\":{\"name\":\"Int. J. Appl. Logist.\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Appl. Logist.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJAL.2017010104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Appl. Logist.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJAL.2017010104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 22

摘要

Locationofadvertisingisoneofthemostimportantfactorsofmarketingstrategy，asfindingthe bestlocationtoinstalladvertisingbillboardscanhaveamajorimpactonprofitabilityoftheentire marketingprocess。Thispaperprovidesabillboardlocationmodel，whichcandeterminetheoptimal locationsforinstallingsuchbillboards。Themulti-objectiveandmulti-productmodeldevelopedfor thispurposehastwoobjectivefunctions:optimizingthesalesprofitminusthecostsofdesigningand installingthebillboards，andattractingmostvisitorsthroughmaximizationofanattractionfactor。Thedesigningcostisassumedtobeassociatedwiththeattractionfactor。Thismodelfindsthebest locationofbillboardsbasedonconstraintsuchasnumberofvisitsandsalesvolume。Finally，aset ofsmalland large-scalenumericalexamplesaresolvedby在GAMS中实现了thesolutionmethod Cplexsolversoftware.Tosolvethelarge-scalevariantsoftheproblem，thegeneticalgorithm。关键词:广告牌，遗传算法，定位，多目标，多产品

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Multi-Objective and Multi-Product Advertising Billboard Location Model with Attraction Factor Mathematical Modeling and Solutions

Locationofadvertisingisoneofthemostimportantfactorsofmarketingstrategy,asfindingthe bestlocationtoinstalladvertisingbillboardscanhaveamajorimpactonprofitabilityoftheentire marketingprocess.Thispaperprovidesabillboardlocationmodel,whichcandeterminetheoptimal locationsforinstallingsuchbillboards.Themulti-objectiveandmulti-productmodeldevelopedfor thispurposehastwoobjectivefunctions:optimizingthesalesprofitminusthecostsofdesigningand installingthebillboards,andattractingmostvisitorsthroughmaximizationofanattractionfactor. Thedesigningcostisassumedtobeassociatedwiththeattractionfactor.Thismodelfindsthebest locationofbillboardsbasedonconstraintsuchasnumberofvisitsandsalesvolume.Finally,aset ofsmalland large-scalenumericalexamplesaresolvedby implementing thesolutionmethod in GAMS\Cplexsolversoftware.Tosolvethelarge-scalevariantsoftheproblem,thegeneticalgorithm. KeywORdS Advertising Billboard, Genetic Algorithm, Location, Multi-Objective, Multi-Product

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Int. J. Appl. Logist.

自引率

0.00%

发文量