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Process Planning and Scheduling for Distributed Manufacturing (Springer Series in Advanced Manufacturing)

Editat de Lihui Wang, Weiming Shen
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en Limba Engleză Carte Hardback – 15 May 2007
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.
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Specificații

ISBN-13: 9781846287510
ISBN-10: 1846287510
Pagini: 452
Ilustrații: 207 illus., 42 tabs.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.81 kg
Ediția: 2007
Editura: SPRINGER LONDON
Colecția Springer
Seria Springer Series in Advanced Manufacturing

Locul publicării: London, United Kingdom

Public țintă

Research

Cuprins

An Effective Approach for Distributed Process Planning Enabled by Event-Driven Function BlocksWeb-based Polishing Process Planning Using Data Mining TechniquesIntegration of Rule-based Process Selection with Virtual Machining for Distributed Manufacturing PlanningCyberCut: A Coordinated Pipeline of Design, Process Planning and ManufactureProcess Planning, Scheduling and Control for One-of-a-Kind ProductionSetup Planning and Tolerance AnalysisScheduling in Holonic Manufacturing SystemsAgent-based Dynamic Scheduling for Distributed ManufacturingA Multi-agent System Implementation of an Evolutionary Approach to Production SchedulingDistributed Scheduling in Multiple-factory Production with Machine MaintenanceResource Scheduling for a Virtual CIM SystemA Unified Model-based Integration of Process Planning and SchedulingA Study on Integrated Process Planning and Scheduling System for Holonic ManufacturingManaging Dynamic Demand Events in Semiconductor Manufacturing Chains by Optimal Control ModellingA Parameter Perturbation Approach to Replanning OperationsSTEP into Distributed Manufacturing with STEP-NC

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

First book to focus on emerging technologies for distributed intelligent decision-making in process planning and dynamic scheduling
Each chapter addresses a specific problem domain and offers practical solutions to solve the problem
Provides a better understanding of the present state and future trends of research in this important area