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Workflow Management
Models, Methods, and Systems
Wil van der Aalst and Kees van Hee
The MIT Press Cambridge, Massachusetts London,
England
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This translation © 2002 Massachusetts Institute of Technology
Originally published under the title Workflow Management:
Modellen, Metho-den en Systemen, 1997, by Academic Service.
All rights reserved. No part of this book may be reproduced in any
form by any electronic or mechanical means (including
photocopying, recording, or information storage and retrieval)
without permission in writing from the publisher.
This book was set in Sabon on 3B2 by Asco Typesetters, Hong
Kong, and was printed and bound in the United States of America.
Library of Congress Cataloging-in-Publication Data
Aalst, Wil van der.
Workflow management / Wil van der Aalst,
Kees van Hee. p. cm. — (Cooperative
information systems)
Includes bibliographical references and index.
ISBN 0-262-01189-1 (he. : alk. paper)
1. Management information systems. 2. Production
management.
3. Workflow. I. Hee, Kees Max van, 1946- II. Title.
III. Series.
T58.6.A17 2002
658.5'1—dc21 2001042602
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Contents
Series Foreword vii
Acknowledgments xi
Introduction xiii
1 Organizing Workflows 1
2 Modeling Workflows 31
3 Management of Workflows 75
4 Analyzing Workflows 99
5 Functions and Architecture of Workflow Systems 145
6 Roadmap for Workflow System Development 211
7 Sagitta 2000 Case Study 243
Appendix A: Workflow Theory 267
Appendix B: Workflow Modeling Using UML 293
Solutions to Exercises 305
Glossary 345
Bibliography 359
Index 365
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Series Foreword
The traditional view of information systems as tailor-made, cost-intensive
database applications is changing rapidly. The change is fueled partly by a
maturing software industry, which is making greater use of off-the-shelf
generic components and standard software solutions, and partly by the
onslaught of the information revolution. In turn, this change has resulted in a
new set of demands for information services that are homogeneous in their
presentation and interaction patterns, open in their software architecture,
and global in their scope. The demands have come mostly from application
domains such as e-commerce and banking, manufacturing (including the
software industry itself), training, education, and environmental management,
to mention just a few.
Future information systems will have to support smooth interaction with
a large variety of independent, multi-vendor data sources and legacy
applications running on heterogeneous platforms and distributed infor-
mation networks. Metadata will play a crucial role in describing the contents
of such data sources and in facilitating their integration.
As well, a greater variety of community-oriented interaction patterns will
have to be supported by next-generation information systems. Such
interactions may involve navigation, querying, and retrieval, and will have
to be combined with personalized notification, annotation, and profiling
mechanisms. Such interactions will also have to be intelligently interfaced
with application software, and will need to be dynamically integrated into
customized and highly connected cooperative environments. Morever the
massive investments in information resources, by governments and
businesses alike, call for specific measures that ensure security, privacy, and
accuracy of their contents.
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