Process Planning and Scheduling for Distributed Manufacturing

1. Front Matter

   Pages i-xix

   PDF

2. An Effective Approach for Distributed Process Planning Enabled by Event-driven Function Blocks

   • Lihui Wang, Hsi-Yung Feng, Ningxu Cai, Wei Jin

   Pages 1-30

3. Web-based Polishing Process Planning Using Data-mining Techniques

   • V. Y. M. Tsang, B. K. K. Ngai, G. Q. Huang, V. H. Y. Lo, K. C. Cheng

   Pages 31-59

4. Integration of Rule-based Process Selection with Virtual Machining for Distributed Manufacturing Planning

   • Dusan N. Sormaz, Jaikumar Arumugam, Chandrasekhar Ganduri

   Pages 61-90

5. CyberCut: A Coordinated Pipeline of Design, Process Planning and Manufacture

   • V. Sundararajan, Paul Wright

   Pages 91-108

6. Process Planning, Scheduling and Control for One-of-a-Kind Production

   • Paul Dean, Yiliu Tu, Deyi Xue

   Pages 109-136

7. Setup Planning and Tolerance Analysis

   • Yiming Kevin Rong

   Pages 137-166

8. Scheduling in Holonic Manufacturing Systems

   • Paulo Sousa, Carlos Ramos, José Neves

   Pages 167-190

9. Agent-based Dynamic Scheduling for Distributed Manufacturing

   • Weiming Shen, Qi Hao

   Pages 191-212

10. A Multi-agent System Implementation of an Evolutionary Approach to Production Scheduling

    • Scott S. Walker, Douglas H. Norrie, Robert W. Brennan

    Pages 213-241

11. Distributed Scheduling in Multiple-factory Production with Machine Maintenance

    • Felix Tung Sun Chan, Sai Ho Chung

    Pages 243-267

12. Resource Scheduling for a Virtual CIM System

    • Sev Nagalingam, Grier Lin, Dongsheng Wang

    Pages 269-294

13. A Unified Model-based Integration of Process Planning and Scheduling

    • Weidong Li, S. K. Ong, A. Y. C. Nee

    Pages 295-309

14. A Study on Integrated Process Planning and Scheduling System for Holonic Manufacturing

    • Nobuhiro Sugimura, Rajesh Shrestha, Yoshitaka Tanimizu, Koji Iwamura

    Pages 311-334

15. Managing Dynamic Demand Events in Semiconductor Manufacturing Chains by Optimal Control Modelling

    • Yon-Chun Chou

    Pages 335-363

16. A Parameter-perturbation Approach to Replanning Operations

    • Nazrul I. Shaikh, Michael Masin, Richard A. Wysk

    Pages 365-392

17. STEP into Distributed Manufacturing with STEP-NC

    • Xun Xu

    Pages 393-421

18. Back Matter

    Pages 423-429

    PDF

Manufacturing has been one of the key areas that support and influence a nation’s economy since the 18th century. Being the primary driving force in economic growth, manufacturing constantly serves as the foundation of and contributes to other industries with products ranging from heavy-duty machinery to hi-tech home electronics. In the past centuries, manufacturing has contributed significantly to modern civilisation and created momentum that is used to drive today’s economy. Despite various revolutionary changes and innovations in the 20th century that contributed to manufacturing advancements, we are still facing new challenges when striving to achieve greater success in winning global competitions. Today, distributed manufacturing is unforeseeably coming into being due to recent business decentralisation and manufacturing outsourcing. Manufacturers are competing in a dynamic marketplace that demands short response time to changing markets and agility in production. In the 21st century, manufacturing is gradually shifting to a distributed environment with increasing dynamism. In order to win a competition, locally or globally, customer satisfaction is treated with priority. This leads to mass customisation and even more complex manufacturing processes, from shop floors to every level along manufacturing supply chains. At the same time, outsourcing has forged a multi-tier supplier structure with numerous small-- medium-sized enterprises involved, where highly-mixed products in small batch sizes are handled simultaneously in job-shop operations.

• 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

• Integrated Manufacturing Technologies Institute, National Research Council of Canada, London, Canada

  Lihui Wang, Weiming Shen

Lihui Wang is a professor of virtual manufacturing at the University of Skövde’s Virtual Systems Research Centre in Sweden. He was previously a senior research scientist at the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an adjunct professor in the Department of Mechanical and Materials Engineering at the University of Western Ontario, and a registered professional engineer in Canada. His research interests and responsibilities are in web-based and sensor-driven real-time monitoring and control, distributed machining process planning, adaptive assembly planning, collaborative design, supply chain management, as well as intelligent and adaptive manufacturing systems. Dr Weiming Shen is an Senior Research Officer in the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an Adjunct Full Professor of Systems Design Engineering at the University of Waterloo. His research interests are in Agents and Multi-Agent Systems, Concurrent Engineering, Collaborative Design and Manufacturing, Virtual Design and Manufacturing, Virtual Enterprises and Supply Chain Management, e-Commerce / e-Businesses, and Knowledge-Based Systems.

Policies and ethics