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001 9910438066903321
005 20200920143551.0
010   $a3-642-33472-5
024 7 $a10.1007/978-3-642-33472-6
035   $a(CKB)2670000000342706
035   $a(EBL)1082691
035   $a(OCoLC)836406913
035   $a(SSID)ssj0000879539
035   $a(PQKBManifestationID)11487987
035   $a(PQKBTitleCode)TC0000879539
035   $a(PQKBWorkID)10851751
035   $a(PQKB)11642069
035   $a(DE-He213)978-3-642-33472-6
035   $a(MiAaPQ)EBC1082691
035   $a(PPN)169138194
035   $a(EXLCZ)992670000000342706
100   $a20130305d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aPro-active Dynamic Vehicle Routing $eReal-Time Control and Request-Forecasting Approaches to Improve Customer Service /$fby Francesco Ferrucci
205   $a1st ed. 2013.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Physica,$d2013.
215   $a1 online resource (355 p.)
225 1 $aContributions to Management Science,$x1431-1941
300   $aDescription based upon print version of record.
311   $a3-642-43690-0 
311   $a3-642-33471-7 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Introduction to Tour Planning: Vehicle Routing and Related Problems -- The Considered RDOPG Applications -- Review of the Literature Related to the Considered RDOPG Applications -- A New Deterministic Real-Time Control Approach for RDOPG Applications.- A New Forecasting Approach for Generating Stochastic Knowledge.- The Proposed Tabu Search Solution Method.  -- Computational Results -- Summary and Outlook on Future Work -- Appendix -- References.                            .
330   $aThis book deals with transportation processes denoted as the Real-time Distribution of Perishable Goods (RDOPG). The book presents three contributions that are made to the field of transportation. First, a model considering the minimization of customer inconvenience is formulated. Second, a pro-active real-time control approach is proposed. Stochastic knowledge is generated from past request information by a new forecasting approach and is used in the pro-active approach to guide vehicles to request-likely areas before real requests arrive there. Various computational results are presented to show that in many cases the pro-active approach is able to achieve significantly improved results. Moreover, a measure for determining the structural quality of request data sets is also proposed. The third contribution of this book is a method that is presented for considering driver inconvenience aspects which arise from vehicle en-route diversion activities. Specifically, this method makes it possible to restrict the number of performed vehicle en-route diversion activities.
410  0$aContributions to Management Science,$x1431-1941
606   $aOperations research
606   $aDecision making
606   $aProduction management
606   $aSales management
606   $aComputer simulation
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aOperations Management$3https://scigraph.springernature.com/ontologies/product-market-codes/519000
606   $aSales/Distribution$3https://scigraph.springernature.com/ontologies/product-market-codes/524000
606   $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000
615  0$aOperations research.
615  0$aDecision making.
615  0$aProduction management.
615  0$aSales management.
615  0$aComputer simulation.
615 14$aOperations Research/Decision Theory.
615 24$aOperations Management.
615 24$aSales/Distribution.
615 24$aSimulation and Modeling.
676   $a388.324042
700   $aFerrucci$b Francesco$4aut$4http://id.loc.gov/vocabulary/relators/aut$0191727
906   $aBOOK
912   $a9910438066903321
996   $aPro-active Dynamic Vehicle Routing$92536700
997   $aUNINA