Container Port Production and Management
This book helps to solve the problem of substantial waste and inefficiency in port production by analyzing operational efficiency at more than 30 Chinese and Korean leading container ports using three types of DEA model. In addition it offers a returns-to
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ntainer Port Production and Management
Container Port Production and Management
Bo Lu Shouyang Wang •
Container Port Production and Management
123
Bo Lu School of Economics and Management University of Dalian Dalian China
ISBN 978-981-10-2427-6 DOI 10.1007/978-981-10-2428-3
Shouyang Wang School of Economics and Management University of Chinese Academy of Sciences Beijing China
ISBN 978-981-10-2428-3
(eBook)
Jointly published with Science Press, Beijing Library of Congress Control Number: 2016948616 © Science Press and Springer Science+Business Media Singapore 2017 This work is subject to copyright. All rights are reserved by the Publishers, 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 publishers, 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 publishers 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #22-06/08 Gateway East, Singapore 189721, Singapore
Preface
As the competition among the world container terminals has become increasingly fierce, every terminal is striving to increase its investments constantly and lower its operational costs in order to maintain the competitive edge and provide satisfactory services to terminal users. The unreasoning behaviour, however, has induced that substantial waste and inefficiency exists in container terminal production. Therefore, it is of great importance for the manager to know whether it has fully used its existing infrastructures and that output has been maximized given the input. From this perspective, data envelopment analysis (DEA) provides a more appropriate benchmark for the container terminal. This study analyzes the relevance of data envelopment analysis (DEA) to the estimation of productive efficiency in the container terminal industry. Following an exposition of the DEA methodology, the many previous applications of the technique to the terminal industry are reviewed and assessed. The DEA technique is illustrated through a detailed application of data relating to the Chinese and Korean major container terminals
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