Regular Performance Measures
This chapter covers stochastic scheduling problems with regular performance measures. Section 2.1 is focused on models of minimizing the sum of expected completion time costs. In Section 2.2, we consider the problem of minimizing the expected makespan (th
- PDF / 3,984,908 Bytes
- 422 Pages / 439.42 x 683.15 pts Page_size
- 72 Downloads / 244 Views
Xiaoqiang Cai Xianyi Wu Xian Zhou
Optimal Stochastic Scheduling
International Series in Operations Research & Management Science
Volume 207
Series Editor: Frederick S. Hillier Stanford University, CA, USA
For further volumes: http://www.springer.com/series/6161
Xiaoqiang Cai
•
Xianyi Wu
•
Xian Zhou
Optimal Stochastic Scheduling
123
Xiaoqiang Cai Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Shatin, N.T., Hong Kong SAR
Xianyi Wu Department of Statistics and Actuarial Science East China Normal University Shanghai, People’s Republic of China
Xian Zhou Department of Applied Finance and Actuarial Studies Macquarie University North Ryde, Sydney Australia
ISSN 0884-8289 ISSN 2214-7934 (electronic) ISBN 978-1-4899-7404-4 ISBN 978-1-4899-7405-1 (eBook) DOI 10.1007/978-1-4899-7405-1 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2014930759 © Springer Science+Business Media New York 2014 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Machine scheduling concerns about how to optimally allocate the limited resources (machines available) to process jobs over time. It is a decision-making process that plays a crucial role in many environments, including manufacturin
Data Loading...
