Process Planning and Scheduling for Distributed Manufacturing

  • Lihui Wang
  • Weiming Shen

Part of the Springer Series in Advanced Manufacturing book series (SSAM)

Table of contents

  1. Front Matter
    Pages i-xix
  2. V. Y. M. Tsang, B. K. K. Ngai, G. Q. Huang, V. H. Y. Lo, K. C. Cheng
    Pages 31-59
  3. Dusan N. Sormaz, Jaikumar Arumugam, Chandrasekhar Ganduri
    Pages 61-90
  4. Paul Dean, Yiliu Tu, Deyi Xue
    Pages 109-136
  5. Yiming Kevin Rong
    Pages 137-166
  6. Paulo Sousa, Carlos Ramos, José Neves
    Pages 167-190
  7. Scott S. Walker, Douglas H. Norrie, Robert W. Brennan
    Pages 213-241
  8. Sev Nagalingam, Grier Lin, Dongsheng Wang
    Pages 269-294
  9. Weidong Li, S. K. Ong, A. Y. C. Nee
    Pages 295-309
  10. Nobuhiro Sugimura, Rajesh Shrestha, Yoshitaka Tanimizu, Koji Iwamura
    Pages 311-334
  11. Nazrul I. Shaikh, Michael Masin, Richard A. Wysk
    Pages 365-392
  12. Back Matter
    Pages 423-429

About this book


The process planning and scheduling issues of intelligent and distributed manufacturing are crucial nowadays due to the need for enterprises to be adaptive, re-configurable, collaborative and flexible enough to support the emergence of worldwide competition and dynamic and mass-customised markets. With this increasing dynamism of decentralised manufacturing systems and processes, more effective and efficient decision-making techniques are needed.

Process Planning and Scheduling for Distributed Manufacturing focuses on emerging technologies for distributed intelligent decision-making in process planning and dynamic scheduling. As a collection of chapters on state-of-the-art researches in this area, this book presents a review of several key research areas in process planning and scheduling (e.g., adaptive process planning, dynamic scheduling, and process planning and scheduling integration), and provides an in-depth treatment of particular techniques, from function block enabled process planning to agent-based resource scheduling. Each chapter addresses a specific problem domain and offers practical solutions to solve the problem.

Given the essential role manufacturing plays in the economic development of all industrial nations, Process Planning and Scheduling for Distributed Manufacturing will be of interest to academic researchers, practising engineers and graduate students for whom it will provide a better understanding of the present state and future trends of research in this important area.


Manufacturing Manufacturing System Trend artificial intelligence computer-aided design (CAD) computer-integrated manufacturing (CIM) control data mining design machining maintenance modeling optimal control production scheduling

Editors and affiliations

  • Lihui Wang
    • 1
  • Weiming Shen
    • 1
  1. 1.Integrated Manufacturing Technologies InstituteNational Research Council of CanadaLondonCanada

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2007
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84628-751-0
  • Online ISBN 978-1-84628-752-7
  • Series Print ISSN 1860-5168
  • Buy this book on publisher's site