LEADER 01278nam a22002771i 4500 001 991002055469707536 005 20040121120452.0 008 040407s2001 it |||||||||||||||||eng 035 $ab12864031-39ule_inst 035 $aARCHE-084365$9ExL 040 $aDip.to Scienze Storiche$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a551.6 100 1 $aEyckmans, Johan$0252927 245 10$aSimulating coalitionally stable burden sharing agreements for the climate change problem /$cJohan Eyckmans and Henry Tulkens 260 $aMilano :$bFondazione ENI Enrico Mattei,$c2001 300 $a1 v. ;$c21 cm 440 0$aNote di lavoro della Fondazione ENI Enrico Mattei ;$v75.2001 650 4$aClima$xVariazioni$xAspetti economici 650 4$aAmbiente$xTutela$xAccordi internazionali 700 1 $aTulkens, Henry$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0253323 907 $a.b12864031$b02-04-14$c16-04-04 912 $a991002055469707536 945 $aLE009 GEOG.COLL.14H/75$g1$i2009000313606$lle009$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i13424634$z16-04-04 996 $aSimulating coalitionally stable burden sharing agreements for the climate change problem$91448534 997 $aUNISALENTO 998 $ale009$b16-04-04$cm$da $e-$feng$git $h0$i1 LEADER 03459nam 2200589Ia 450 001 9910438066903321 005 20200520144314.0 010 $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 $a20130320d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPro-active dynamic vehicle routing $ereal-time control and request-forecasting approaches to improve customer service /$fFrancesco Ferrucci 205 $a1st ed. 2013. 210 $aBerlin ;$aNew York $cPhysica-Verlag$dc2013 215 $a1 online resource (355 p.) 225 0 $aContributions to management science,$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 $aVehicle routing problem 606 $aShipment of goods$xMathematical models 615 0$aVehicle routing problem. 615 0$aShipment of goods$xMathematical models. 676 $a388.324042 700 $aFerrucci$b Francesco$0191727 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438066903321 996 $aPro-active Dynamic Vehicle Routing$92536700 997 $aUNINA