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Emission-Reducing Vehicle Routing in Food Logistics

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dc.contributor.authorWolf, Armin
dc.contributor.authorCuno, Silke
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:22Z
dc.date.available2023-11-29T14:50:22Z
dc.date.issued2023
dc.description.abstractA web service for emission-reducing vehicle routing in food logistics is presented. This service computes emission-reduced round trips for the transportation of food products from (and to) a depot to (and from) regional locations like food stores or food hubs. Further, this service considers the travelling times between locations and the produced greenhouse gas emissions of the according drives as well as the time windows needed for pickup and delivery. The loading capacities of the vehicles and an efficient “last-in-first-out” packaging order of the vehicles are respected, with the consequence that goods picked-up last should be delivered and unloaded first. This is to avoid unnecessary work.en
dc.identifier.doi10.18420/inf2023_163
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43089
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectArtificial Intelligence
dc.subjectVehicle Routing
dc.subjectFood Logistics
dc.subjectSustainability
dc.subjectOperations Research
dc.subjectGraph Theory
dc.subjectResource Scheduling Problem
dc.subjectConstraint Optimisation
dc.subjectTravelling Salesperson Problem
dc.titleEmission-Reducing Vehicle Routing in Food Logisticsen
dc.typeText/Conference Paper
gi.citation.endPage1606
gi.citation.publisherPlaceBonn
gi.citation.startPage1599
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖkologische Nachhaltigkeit - Kolloquium Landwirtschaft der Zukunft - Ist KI ein wesentlicher Schlüssel zur nachhaltigeren Landwirtschaft?

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten