Process Planning and Scheduling for Distributed Manufacturing - Springer Series in Advanced Manufacturing 2007 edition

Marc Notes: Based on publisher-provided data.; Includes bibliographical references and index. Jacket Description/Back: 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. Biographical Note: Lihui Wang is a professor of virtual manufacturing at the University of Skovde 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."Table of Contents: 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-NCPublisher Marketing: Given the essential role manufacturing plays in the economic development of all industrial nations, this book 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.

Contributor Bio:  Wang, Lihui Dr. Lihui Wang is a research officer of Integrated Manufacturing Technologies Institute at National Research Council of Canada (NRe. He received his Ph. D. and M. Sc. degrees from the Kobe University, Japan in 1993 and 1990, and his B. Sc. from China in 1982, respectively. Prior to joining NRC, he has worked for two years at the Kobe University and another two years at the Toyohashi University of Technology (both in Japan) as an Assistant Professor. His work on web-based monitoring and remote control has won the Best Paper Award at the FAIM 2002 international conference in Germany, and his research on intelligent shop floor has won the Best Poster Award at PRO-VE'03, the 4th IFIP Working Conference on Virtual Enterprises in Switzerland. In addition, he is also a five-time winner of the NRC Institute Awards on Excellence & Leadership in R& D and Global Reach. His research interests are focused on web-based real-time monitoring and control, distributed artificial intelligence, intelligent manufacturing systems, and distributed process planning. He published over 100 research papers in engineering journals and refereed conference proceedings, and has edited 3 conference proceedings on manufacturing research. Dr. Robert X. Gao is an Associate Professor of Mechanical Engineering at the University of Massachusetts Amherst, USA. He received his B. S. degree from China, and his M. S. and Ph. D. from the Technical University Berlin, Germany, in 1982, 1985, and 1991, respectively. Since starting his academic career in 1992, he has been conducting research in the general area of embedded sensors and sensor networks, "smart" electromechanical systems, wireless data communication, and signalprocessing for machine health monitoring, diagnosis, and prognosis. Dr. Gao has published over 100 refereed papers on journals and international conferences, and has one US patent and two pending patent applications on sensing. He is an Associate Editor for the IEEE Transactions on Instrumentation and Measurement, and served as the Guest Editor for the Special Issue on Sensors of the ASME Journal of Dynamic Systems, Measurement, and Control, published in June, 2004. Condition-based Monitoring and Control for Intelligent Manufacturing has arisen from the Flexible Automation and Intelligent Manufacturing (FAIM 2004) conference, held in Toronto, Canada on July12-14 2004. Thirty papers have been selected out of 170 presented at the conference and the authors of these papers have been invited to submit extended updated versions of these papers in order to create a state of the art review of condition-based monitoring and control in manufacturing. Contributor Bio:  Shen, Weiming Dr. Lihui Wang is a Senior Research Officer in the Integrated Manufacturing Technologies Institute at the National Research Council of Canada (NRC). He also works as an Adjunct Professor in the Mechanical and Material Engineering Department at the University of Western Ontario. Dr. Wang received his Ph. D. and M. Sc. degrees from Kobe University, Japan in 1993 and 1990, and his B. Sc. from China in 1982, respectively. Prior to joining NRC, he has worked for two years at the Kobe University and another two years at the Toyohashi University of Technology (both in Japan) as an Assistant Professor. His work on web-based monitoring and remote control won the Best Paper Award at the FAIM 2002 international conference in Germany, and his research on intelligent shop floor won the Best Poster Award at PRO-VEa (TM)03, the 4th IFIP Working Conference on Virtual Enterprises in Switzerland. In addition, he is also a five-time winner of the NRC Institute Awards on Excellence & Leadership in R&D and Global Reach. His research interests are focused on web-based real-time monitoring and control, distributed artificial intelligence, intelligent manufacturing systems, and distributed process planning. He has published over 100 research papers in engineering journals and refereed conference proceedings, and has edited 3 conference proceedings on manufacturing research. Dr. Wang is co-author (with Dr. R. Gao) of Condition Monitoring and Control for Intelligent Manufacture (1-84628-268-3) which is to be published by Springer in April 2006. Dr. Weiming Shen is an Senior Research Officer in the Integrated Manufacturing Technologies Institute at the National Research Council of Canada (NRC). He is alsoan Adjunct Full Professor of Systems Design Engineering at the University of Waterloo. Dr. Shen gained his B. Sc, and M. Sc from Northern Jiaotong University, China in 1983 and 1986 respectively; and he gained his Ph. D. from the University of Technology of CompiA(c)gne in France in 1996. He has published articles in many international journals and co-authored/edited several books and proceedings, including two Lecture Notes in Computer Science Volumes (Computer Supported Cooperative Work in Design (1) and (2)) published./to be published by Springer.