Process Planning and Scheduling for Distributed Manufacturing (eBook)

Lihui Wang, Weiming Shen (Herausgeber)

eBook Download: PDF

2007 | 2007
XIX, 429 Seiten
Springer London (Verlag)
978-1-84628-752-7 (ISBN)

Infos

This is the first book to focus on emerging technologies for distributed intelligent decision-making in process planning and dynamic scheduling. It has two sections: a review of several key areas of research, and an in-depth treatment of particular techniques. Each chapter addresses a specific problem domain and offers practical solutions to solve it. The book provides a better understanding of the present state and future trends of research in this area.

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.

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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.

Inhalt

An Effective Approach for Distributed Process Planning Enabled by Event-Driven Function Blocks
Web-based Polishing Process Planning Using Data Mining Techniques
Integration of Rule-based Process Selection with Virtual Machining for Distributed Manufacturing Planning
CyberCut: A Coordinated Pipeline of Design, Process Planning and Manufacture
Process Planning, Scheduling and Control for One-of-a-Kind Production
Setup Planning and Tolerance Analysis
Scheduling in Holonic Manufacturing Systems
Agent-based Dynamic Scheduling for Distributed Manufacturing
A Multi-agent System Implementation of an Evolutionary Approach to Production Scheduling
Distributed Scheduling in Multiple-factory Production with Machine Maintenance
Resource Scheduling for a Virtual CIM System
A Unified Model-based Integration of Process Planning and Scheduling
A Study on Integrated Process Planning and Scheduling System for Holonic Manufacturing
Managing Dynamic Demand Events in Semiconductor Manufacturing Chains by Optimal Control Modelling
A Parameter Perturbation Approach to Replanning Operations
STEP into Distributed Manufacturing with STEP-NC

Produkt-Details

• Erscheint lt. Verlag: 14.5.2007
• Reihe/Serie: Springer Series in Advanced Manufacturing
• Reihe/Serie: Springer Series in Advanced Manufacturing
• Zusatzinfo: XIX, 429 p.
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Informatik ► Weitere Themen ► CAD-Programme
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Schlagworte: Adaptive Decision-making • Artificial Intelligence • Computer-Aided Design (CAD) • computer-integrated manufacturing (CIM) • Control • Data Mining • Design • Distributed Manufacturing • Machining • Maintenance • Manufacturing • Manufacturing System • Modeling • optimal control • Process Planning • Production • Scheduling • Trend
• ISBN-10: 1-84628-752-9 / 1846287529
• ISBN-13: 978-1-84628-752-7 / 9781846287527