整车物流网络规划集成优化模型研究

123Vol.12No.320063ComputerIntegratedManufacturingSystemsMar.2006:1006-5911(2006)03-0364-07:2004-12-30;:2005-01-27Received30Dec.2004;accepted27Jan.2005.:(70431003)Foundationitem:ProjectsupportedbytheNationalNaturalScienceFoundation,China(No.70431003).:(1976-),,,,E-mail:[e-mail]1,3,2,1(1.,110016;2.,100084;3.,100039):,,,,,,,:;;;:TP18;C934:AResearchonintegratedoptimizationmodelforautomobilelogisticsnetworkdesignQINXu-wei1,3,FANYu-shun2,YINChao-wan1(1.ShenyangInst.ofAutomation,ChineseAcademyofSciences,Shenyang110016,China;2.Dep.ofAutomation,TsinghuaUniv.,Beijing100084;China;3.GraduateSch.oftheChineseAcademyofSciences,Beijing100039,China)Abstract:Tooptimizeautomobilelogisticsnetworkandreducecosts,theintegratedoptimizationmodelwaspresen2ted,whichprovidedanintegratedviewoftransportationeconomies-of-scale,inventoryandfacilitycostsaswellasservicequality.ThesolutioncombiningtheflowpredictionalgorithmandGeneticAlgorithm(GA)waspresen2ted.Inthissolution,GAusedparticulargenerepresentationcomposedofbinarycodeandrealcode,whichex2pressedfeasiblestructureoflogisticsnetwork.Inordertocalculatedifficulttransportationcostbetweenplantsanddistributioncentersinthefitnessvaluefunction,flowpredictionalgorithmwaspresentedtofindanminimum-costflowpatternsonannetworkcomposedofplants,consolidationcentersanddistributioncenterswithconcavetrans2portationcostsandtoobtaintheappropriatefitnessvalue.Simulationsweregiventoconfirmthecorrectnessoftheoptimizationmodelandtheeffectivenessofthesolution.Keywords:automobilelogistics;transportationeconomies-of-scale;flowpredictionalgorithm;geneticalgorithm0,,,3:,,[1],;[2](S-1,S),;[3],,[4],;[5],,,-,[6],-,[6],,-,-,3,,,,,1,PRDC,1,I,,,(S-1,S);,NminNmax,,---:;;();:minDd=1Ii=1hdiSdi+Cc=1cc+Dd=1dd+Pp=1Cc=1kpciI|p(i)=pVp(i)c+Cc=1Dd=1kcdiIUcdi+Pp=1Dd=1kpdiI|p(i)=pYp(i)d+Dd=1Rr=1drkdrIi=1wdriri+Dd=1Rr=1qdrdrIi=1ris.t.Vp(i)c=Dd=1Ucdi,(1)Yp(i)d+Cc=1Ucdi=Rr=1drri,(2)Vp(i)ccRr=1ri,(3)56312di=Rr=1drri,(4)Sdi=minSS-1k=0e-didi(didi)kk!di,(5)Dd=1xdr=1;(6)NmindRr=1drNmaxd,(7)c={0,1},(8)d={0,1},(9)dr={0,1},(10)Yp(i)d0;Ucdi0;Vp(i)c0;(11),c=1,2,,C,i=1,2,,I,d=1,2,,D,r=1,2,,R;:p,c,d,i,r;p(i)pi:c0-1,1c;d0-1,1d;dr0-1,1dr;Yp(i)dipd;Ucdicdi;Vp(i)cpci;Sdiid,(5)[7]:kpdpd;kcdcd;kpcpc;kdrdr;riri;wdridri;cc;dd;did;hdiid;qdr0-1,1rd;;iI|p(i)=pVpcipc;iIUcdicd;iI|p(i)=pYpdipd,:(1);(2);(3),;(4);(5);(6);(7),,,20-1,,,,[8]0-1,0-1,;[9],,,6633:,,2.1,:1,222342[6],54,65,[6],2,7264,;6,32.2-,,(1)3,A,B,Ac,Bd,C,D,3,5,10:[101|10101|2331321213|10201],w1=1w3=1,1,3;u1=1,u3=1,u5=1,1,3,5,1,2,3;v1=2,12,3,,y1=1,y5=1,y3=2,y2y40(3)(6)(2):fori1topop_sizedoCNCCi;DNDCi;;;end:1)NDCi(7),:NDCirandomintRNmax+1,intRNmin2)(7),Nmin,(3)1),,76312,2)nfk,fkn-1(4)1)A,B,2)A,B,C,D,BD3,,,8(D=8)2(C=2)26(R=26)3,5,70km,1500/,90%21d30d,161kmPCC01C02P011810720P02215010202kmCDD01D02D03D04D05D06D07D08C01412320250355215513207251432C02161314801400132510201252153003kmPDD01D02D03D04D05D06D07D08P012110204020001987312825812615P0224002340230022806150112011309204/PRR01R02R03R04R05R06R07R08R09R10R11R12R13P014463112232213P025656211222125PRR14R15R16R17R18R19R20R21R22R23R24R25R26P012445221322113P0262333214124245/C01C02D01D02D03D04D05D06D07D0887.51214101112.8159126kmRDD01D02D03D04D05D06D07D08R0118(1)156(0)324(0)375(0)2389(0)1873(0)1086(0)1560(0)R0251(1)129(0)363(0)432(0)2478(0)1543(0)1197(0)1479(0)R0346(1)146(0)289(0)325(0)2232(0)1433(0)1043(0)1689(0)R0455(1)95(0)346(0)65(1)2457(0)1398(0)1153(0)1467(0)R0587(0)39(1)244(0)73(0)2213(0)1512(0)973(0)1382(0)R06321(0)23(1)354(0)98(0)2190(0)1399(0)937(0)1428(0)R07229(0)54(1)223(0)102(0)2098(0)1233(0)876(0)1268(0)R08154(0)73(0)134(0)135(0)1989(0)1462(0)987(0)1483(0)R09366(0)332(0)66(1)323(0)2349(0)1221(0)1329(0)1734(0)R10245(0)233(0)55(1)367(0)2569(0)1655(0)1289(0)1785(0)R1195(0)103(0)154(0)67(1)1989(0)1723(0)932(0)1293(0)R12467(0)71(0)108(0)60(1)1873(0)1242(0)1089(0)1287(0)R131494(0)1193(0)1499(0)1432(0)980(0)23(1)332(0)323(0)R141367(0)1223(0)1390(0)1374(0)768(0)57(1)398(0)238(0)R151417(0)1366(0)1092(0)1398(0)878(0)67(1)276(0)356(0)R161388(0)1432(0)1453(0)1286(0)823(0)76(0)292(0)300(0)8633:6RDD01D02D03D04D05D06D07D08R171211(0)1023(0)854(0)1103(0)1382(0)332(0)23(1)563(0)R181192(0)1123(0)984(0)1086(0)1284(0)270(0)64(1)678(0)R191088(0)1093(0)324(0)986(0)1249(0)287(0)71(0)589(0)R201092(0)1763(0)363(0)1684(0)659(0)321(0)423(0)32(1)R21980(0)1488(0)289(0)1745(0)578(0)367(0)321(0)56(1)R221689(0)1684(0)346(0)1583(0)723(0)412(0)396(0)83(0)R231759(0)1785(0)244(0)2359(0)45(1)1122(0)1392(0)1293(0)R241640(0)2535(0)354(0)2489(0)62(1)1237(0)1490(0)1328(0)R252310(0)2634(0)223(0)2245(0)25(1)1234(0)1390(0)1179(0)R262410(0)2549(0)234(0)2356(0)32(1)1321(0)1289(0)1239(0):14,,Pentium1.6G,512MJBuilder9.0,,:50,0.8,0.1,5007,8127()/s510.287514.549511.643643248C01C02D03,D06,D07,D08,D029D01R01,R02,R03,R04,R12D02R05,R06,R07,R08,R11D03R09,R10D04D05R23,R24,R25,R26D06R13,R14R15,R16D07R18,R17,R19D08R20,R21,R2210Yp(i)dD01D02D03D04D05D06D07D08P0198800364000P0211960062400011SdiD01D02D03D04D05D06D07D08P01281071019132P02347617242812Vp(i)cC01C02P012080P0221847,f3=510.287,,810,,17,P01,P02C02D