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《農(nóng)超對(duì)接物流模式下運(yùn)輸車(chē)輛的優(yōu)化調(diào)度與設(shè)計(jì)》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、SHANDONGＵＮＩＶＥＲＳＩＴＹＯＦＴＥＣＨＮＯＬＯＧＹ畢業(yè)設(shè)計(jì)說(shuō)明書(shū)農(nóng)超對(duì)接物流模式下運(yùn)輸車(chē)輛的優(yōu)化調(diào)度與設(shè)計(jì)學(xué)院：電氣與電子工程學(xué)院專(zhuān)業(yè)：自動(dòng)化學(xué)生姓名：雒銳超學(xué)號(hào)：0812106261指導(dǎo)教師：胡健2012?年6?月中文摘要摘要在經(jīng)濟(jì)全球化和信息化的浪潮中，現(xiàn)代的物流業(yè)己經(jīng)成為以現(xiàn)代科技、管理和信息技術(shù)為支柱的綜合物流系統(tǒng)。物流配送是物流企業(yè)增加利潤(rùn)的關(guān)鍵所在，而車(chē)輛調(diào)度問(wèn)題是物流配送的核心問(wèn)題，因此，對(duì)車(chē)輛優(yōu)化調(diào)度問(wèn)題的研究具有重要的意義。車(chē)輛優(yōu)化調(diào)度問(wèn)題是一個(gè)典型的NP難題，應(yīng)用純粹的數(shù)學(xué)方法難以求解。隨著智能優(yōu)化技術(shù)的發(fā)展，越來(lái)越多的研究人員用智能
2、方法做出決策和判斷，以使運(yùn)輸系統(tǒng)費(fèi)用最低、效益最大。本文對(duì)現(xiàn)代物流配送車(chē)輛優(yōu)化調(diào)度問(wèn)題的理論、方法與模型進(jìn)行了深入的研究。首先在回顧車(chē)輛優(yōu)化調(diào)度問(wèn)題研究現(xiàn)狀的基礎(chǔ)上，從模型分析和求解算法的角度研究了車(chē)輛優(yōu)化調(diào)度問(wèn)題:對(duì)容量限制車(chē)輛優(yōu)化調(diào)度問(wèn)題、有時(shí)間窗車(chē)輛優(yōu)化調(diào)度問(wèn)題的模型進(jìn)行了探討，并介紹了求解車(chē)輛優(yōu)化調(diào)度問(wèn)題的算法。通過(guò)有時(shí)間窗車(chē)輛優(yōu)化調(diào)度具體分析，并且應(yīng)用實(shí)例對(duì)解決算法進(jìn)行驗(yàn)證，通過(guò)與同類(lèi)文獻(xiàn)比較，表明了該算法對(duì)求解車(chē)輛優(yōu)化調(diào)度問(wèn)題的可行性。關(guān)鍵詞：物流配送，車(chē)輛調(diào)度，時(shí)間窗，LINGOIAbstract?AbstractInthe?economic?glo
3、balizationand?the?wave?ofinformatization，modernlogisticshasbecome?withmodernscienceand?technology,managementand?information?technologyasthe?pillar?ofcomprehensive?logisticssystem.Logisticsislogisticsenterprise?toincrease?profitthe?key,and?vehicle?scheduling?problemisthe?core?ofthe?log
4、isticsdistribution,therefore,the?optimizationscheduling?problemofvehicle?researchhasthe?vitalsignificance.Vehicle?optimizationscheduling?problemisa?typicalNPproblemofpure?mathematicsmethod,applicationtosolve.Along?withthe?developmentofintelligentoptimizationtechnique,?more?and?more?re
5、searchersuse?smartdecisionsand?judgments,a?method?tomaketransportationsystemcostsminimum,benefitisthe?largest.Inthispaperthe?distributionvehicle?to?modernlogisticsscheduling?theory,method?and?the?modelstudied.?Firstthe?optimizationscheduling?problemin?the?reviewofvehiclesbased?onthe?p
6、resentresearch,fromthe?modelanalysisand?solving?algorithmfromthe?perspective?ofthe?optimizationscheduling?problem:?the?vehicle?traffic?capacitylimitthe?optimizationscheduling?problemwithtime?window?vehicles,scheduling?modelisdiscussed,?and?introducedthe?optimizationscheduling?problem?
7、solving?the?algorithmofvehicle.?Withtime?window?vehiclesbythe?optimization?scheduling?specific?analysis,and?applicationexamplesvalidate?forsolving?algorithm?withother?similar?documents,bycomparison,showsthat?the?algorithmto?optimize?scheduling?problemsolving?the?feasibilityofvehicles.
8、Keywo
