ABSTRACT
Alexander Fay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98-1 99. Enterprise-Manufacturing Data Exchange Using XML
David Emerson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99-1 100. Web Services for Integrated Automation Systems — Challenges, Solutions and Future
Zaijun Hu and Eckhard Kruse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100-1 101. Integration Between Production and Business Systems
Claus Vetter and Thomas Werner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101-1
7.3 Network-Based Integration Technologies 102. Principles and Features of PROFINET
Manfred Popp, Joachim Feld and Ralph Büsgen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102-1 103. The IDA Standard
Martin Buchwitz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103-1 104. Open System Architecture for Controls within Automation Systems (OSACA)
Michael Seyfarth and Andreas Kahmen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104-1 105. Open Controller Enabled by an Advanced Real-Time Network (OCEAN)
Fabrizio Meo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105-1
7.4 Agent-Based Technologies in Industrial Automation 106. Holonic Manufacturing Systems: A Technical Overview
Robert W. Brennan, James H. Christensen, William A. Gruver, Dilip B. Kotak, Douglas H. Norrie and Edwin H. van Leeuwen . . . . . . . . . . . . . . . . . . . . . 106-1
107. From Holonic Control to Virtual Enterprises: The Multi-Agent Approach Pavel Vrba and Vladimir Marik . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107-1
108. Multiagent-based Architecture for Plant Automation Axel Klostermeyer and Eckehardt Klemm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108-1
109. Collaborative (Agent-Based) Factory Automation Armando Walter Colombo, Ronald Schoop and Ralf Neubert . . . . . . . . . . . . . . . . . . . . . . . 109-1
and Messaging — IEC 61850 Karlheinz Schwarz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110-1
111. The JEVIS Service Platform — Distributed Energy Data Acquisition and Management Peter Palensky . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111-1
112. Industrial IT-Based Network Management Yauheni Veryha and Peter Bort . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112-1
97.1 Introduction ......................................................................97-1
97.2 e-Manufacturing: Rationale and Definitions ..................97-2
97.3 e-Manufacturing: Architecture ........................................97-5
97.4 Intelligent Maintenance Systems and e-Maintenance Architecture ............................................97-6
97.5 Conclusions and Future Work..........................................97-8
For the past decade, the impact of web-based technologies has added “velocity” to the design, manufacturing, and aftermarket service of a product. Today’s competition in manufacturing industry depends not just on lean manufacturing but also on the ability to provide customers with total solutions and life-cycle costs for sustainable value. Manufacturers are now under tremendous pressure to improve their responsiveness and efficiency in terms of product development, operations, and resource utilization with a transparent visibility of production and quality control. Lead times must be cut short to their extreme extent to meet the changing demands of customers in different regions of the world. Products are required to be made-to-order with no or minimum inventory, requiring (a) an efficient information flow between customers, manufacturing, and product development (i.e., plant floor, suppliers, and designers), (b) a tight control between customers and manufacturing, and (c) near-zero downtime of the plant floor assets. Figure 97.1 summarizes the trends in manufacturing and function of predictive intelligence as an enabling tool to meet the needs [1-4].
