Revenue Management for Manufacturing Companies

Revenue Management has proven successful in a number of service industries. Starting out in the airlines industry in the 1970s, Revenue Management spread to tourism sectors such as hotels and cruise ships, but also to TV advertising and other industries.

  • PDF / 2,019,704 Bytes
  • 172 Pages / 476.221 x 680.316 pts Page_size
  • 57 Downloads / 226 Views

DOWNLOAD

REPORT


Florian Defregger

Revenue Management for Manufacturing Companies

Edition KWV

Die „Edition KWV“ beinhaltet hochwertige Werke aus dem Bereich der Wirtschaftswissenschaften. Alle Werke in der Reihe erschienen ursprünglich im Kölner Wissenschaftsverlag, dessen Programm Springer Gabler 2018 übernommen hat.

Weitere Bände in der Reihe http://www.springer.com/series/16033

Florian Defregger

Revenue Management for Manufacturing Companies

Florian Defregger Wiesbaden, Germany Bis 2018 erschien der Titel im Kölner Wissenschaftsverlag, Köln Dissertation Katholische Universität Eichstätt-Ingolstadt, 2009

Edition KWV ISBN 978-3-658-24036-3 ISBN 978-3-658-24037-0 https://doi.org/10.1007/978-3-658-24037-0

(eBook)

Library of Congress Control Number: 2018968336 Springer Gabler © Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2009, Reprint 2019 Originally published by Kölner Wissenschaftsverlag, Köln, 2009 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer Gabler imprint is published by the registered company Springer Fachmedien Wiesbaden GmbH part of Springer Nature The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany

Preface This dissertation is the result of my research work at the Chair of Production Management at the Faculty of Business Administration and Economics of the Catholic University of Eichst¨att-Ingolstadt in the years 2001 to 2006. After his yearly production research meeting in Greece, my doctoral thesis supervisor, Prof. Dr. Heinrich Kuhn, suggested to take a look at a proceedings article of Kniker and Burman (2001). This article dealt with applying an operations research technique called revenue management, which was mainly used in the service sector up to this point, to the manufacturing sector. After delving into the article I figured out that I now had a stochastic operations research to