信息熵在復(fù)雜性供應(yīng)鏈協(xié)調(diào)中的應(yīng)用.pdf

1、合肥工業(yè)大學(xué)碩士學(xué)位論文信息熵在復(fù)雜性供應(yīng)鏈協(xié)調(diào)中的應(yīng)用姓名：何偉申請學(xué)位級別：碩士專業(yè)：應(yīng)用數(shù)學(xué)指導(dǎo)教師：凌能祥20071001ApplicationofInformationEntropyincoordinationcomplexitysupplychainAbstractEntropyhasalreadygraduallydeveloptobecomeasyntheticsystemwhichhasowntheories，thou

2、ghts，andmethodsfromaenergetiesconceptonehundredyearsagoTheapplicationofentropytheoryinthesupplychainmanagementisinaccordancewiththefeathersofthemEntropyisagoodtoolintheindeterminacystudyAndweshouldputacrossthesupplychain

3、managementunderthecircumstanceofdynamicandincertitudeconditionThispaperresearchthecomplexityoruncertaintyofthesupplychainmanagementfromthepointofentropyItsmainresultsasfollow：(1)Measuringthecomplexityofagilesupplychainth

4、roughDynamicEntropyAgilesupplychain(ASC)isakindofenterpriseoperatingmode，whichenablesenterprisetapidlyresponsetomarketchangesandbelongstothecategoryoftheopencomplexgiantsystemThispaperproposesamethodofdynamicentropy，whic

5、hisdifferentfromthehallforworkshopofmetasyntheticengineering，tostudythemanagementproblemofagilesupplychain，andmodelsthecomplexityofeachenterpriseinthesupplychainanditsshiftThepaperprovidesauewapproachfordiscussingthemana

6、gementproblemofagilesupplychainAnexampleisgiventoshowhowthemodelworks(2)Studyofthecomplexityofsystembasedongeneralized—relating—degreecoefficientAmethodofgeneralizedrelatingdegreecoefficientispresentedtomeasurestatistica

7、lcorrelationincomplexsystem，TheproposedmethodisappliedtothesupplychainandthemodelofdecisionmakingThemethoddoesnotneedspecificsampledata，whichreducesdatauncertaintyandcomputationquantityItcanbeappliedtolinearandnonlinearp

8、roblemsAlso，itsimplifiestheclassificationofcomplexsystemsduetothereductionofclassificationcriterions。Moreoveritcandescribetherelationamongvariablesorsub—systemsofsystemquantitatively(3)ANewAlgorithmforsolvingcontinuousst

9、ochasticdecision—makingproblemThispaper，basedontheKullback’Sentropydefinition，appliesthemaximumentropyprincipletotransformthedecisionmakingunderuncertaintyandwithcontinuousstochasticvariablespacetotheriskydecision—making