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001 978-3-031-18716-2
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008 221226s2023 sz | s |||| 0|eng d
020 _a9783031187162
_9978-3-031-18716-2
024 7 _a10.1007/978-3-031-18716-2
_2doi
050 4 _aQA402.5-402.6
072 7 _aPBU
_2bicssc
072 7 _aMAT042000
_2bisacsh
072 7 _aPBU
_2thema
082 0 4 _a519.6
_223
100 1 _aGolden, Bruce.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979420
245 1 4 _aThe Evolution of the Vehicle Routing Problem
_h[electronic resource] :
_bA Survey of VRP Research and Practice from 2005 to 2022 /
_cby Bruce Golden, Xingyin Wang, Edward Wasil.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aVII, 65 p. 2 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Operations Research and Applications,
_x2770-6311
505 0 _aIntroduction -- Overall Contributions of Survey Articles -- Observations and Trends -- Conclusions -- References.
520 _aThis book presents state-of-the-art research and practice in optimization routing, specifically the vehicle routing problem (VRP). Since its introduction in the late 1950s, the VRP has been a very significant area of research and practice in operations research. Vehicles are used to make deliveries and for pick-ups every day and everywhere. Companies such as Amazon, UPS, FedEx, and DHL use route optimization to reduce mileage, fuel use, number of trucks on the road, and carbon dioxide emissions. The authors compile and analyze 135 survey and review articles on vehicle routing topics published between 2005 and 2022 in an effort to make key observations about publication and trend history, summarize the overall contributions in the field, and identify trends in VRP research and practice. The authors have compiled published research on models, algorithms, and applications for specific areas, including: alternative and multiple objectives; arc routing and general routing; drones, last-mile delivery, and urban distribution; dynamic and stochastic routing; green routing; inventory routing; loading constraints; location-routing; multiple depots; pickup and delivery and dial-a-ride problems; rich and multi-attribute routing; routing over time; shipping; two-echelon, collaborative, and inter-terminal problems; specific variants, benchmark datasets, and software; and exact algorithms and heuristics. In addition, the book discusses how vehicle routing problems are among the most widely studied problems in combinatorial optimization due to the mathematical complexity and practical significance.
650 0 _aMathematical optimization.
_94112
650 0 _aBusiness logistics.
_94995
650 0 _aOperations research.
_912218
650 0 _aTransportation engineering.
_93560
650 0 _aTraffic engineering.
_915334
650 0 _aProduction management.
_99536
650 0 _aTransportation.
_979212
650 1 4 _aOptimization.
_979421
650 2 4 _aLogistics.
_933590
650 2 4 _aOperations Research and Decision Theory.
_931599
650 2 4 _aTransportation Technology and Traffic Engineering.
_932448
650 2 4 _aOperations Management.
_931773
650 2 4 _aTransportation Economics.
_979214
700 1 _aWang, Xingyin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979422
700 1 _aWasil, Edward.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979423
710 2 _aSpringerLink (Online service)
_979424
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031187155
776 0 8 _iPrinted edition:
_z9783031187179
776 0 8 _iPrinted edition:
_z9783031187186
830 0 _aSynthesis Lectures on Operations Research and Applications,
_x2770-6311
_979425
856 4 0 _uhttps://doi.org/10.1007/978-3-031-18716-2
912 _aZDB-2-SXSC
942 _cEBK
999 _c84779
_d84779