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Beladungsplanung von Autozügen bei unsicheren Fahrzeuggewichten

Beladungsplanung von Autozügen bei unsicheren Fahrzeuggewichten

          
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About the Book

Bachelorarbeit aus dem Jahr 2016 im Fachbereich BWL - Unternehmensforschung, Operations Research, Note: 1,3, Ruhr-Universität Bochum, Sprache: Deutsch, Abstract: Seit einiger Zeit werden, unter anderem von der Deutschen Bahn, Autozüge für den Fernverkehr genutzt. Sie bieten Kunden die Möglichkeit, auf das Fahren ihres Fahrzeugs zu verzichten, stattdessen in Personenwaggons befördert zu werden und entspannt am Zielort anzukommen. Zum Angebot der Deutschen Bahn zählt dabei der Transport von Motorrädern mit bzw. ohne Beiwagen und Autos mit bzw. ohne Anhänger. Meist wird diese Art des Transports für die Urlaubsreise genutzt, andererseits auch in den Alpen, um Reisenden die beschwerliche Fahrt über enge Pässe abzunehmen oder eine Reise überhaupt zu ermöglichen, wenn Straßen, z. B. aufgrund von Schnee, gesperrt sind. Anwendungen des Operations Research (OR) können bei der Beladungsplanung von Autozügen zur Steigerung des Umsatzes führen, wenn optimale Beladungspläne, in Bezug auf die Anzahl und Positionen der zu verladenen Fahrzeuge, ausgewählt werden, um eventuelle Kapazitätspuffer zu vermeiden. In bisherigen deterministischen Modellen zur Beladungsplanung von Autozügen fließen die eingegebenen Daten des Kunden nominal in das Modell ein. Da aber vor allem Aussagen über das Fahrzeuggewicht als unsicher eingestuft werden müssen, scheint die Notwendigkeit eines (robusten) Modells, das die Zulässigkeit für mögliche Ausprägungen der Umweltzustände absolut sicherstellt, gegeben zu sein. In Kapitel 2 werden das zugrundeliegende mathematische Modell und Charakteristika der Autozugverladung erläutert, sowie die Sensitivität einer Testinstanz aufgezeigt und anschließend Anwendungsbereiche von Optimierung in diesem und einem verwandten Problem beschrieben. Kapitel 3 gibt eine kurze Einführung in die robuste Optimierung im Allgemeinen. Es werden verschiedene Methoden vorgestellt um Unsicherheiten durch Parameter im Rahmen der Optimierung in einem Problem zu berücksichtigen. Diese


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Product Details
  • ISBN-13: 9783668166646
  • Publisher: Grin Verlag
  • Publisher Imprint: Grin Verlag
  • Height: 210 mm
  • No of Pages: 38
  • Series Title: German
  • Weight: 63 gr
  • ISBN-10: 3668166641
  • Publisher Date: 07 Mar 2016
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 2 mm
  • Width: 148 mm


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