1 Modern Manufacturing Systems: An Information Technology Perspective. - 1 Introduction. - 2 Basic engineering CIM functions. - 3 Information technology enhances the competitive advantage. - 4 An intra-organizational CIM model. - 5 An inter-organizational CIM model. - 6 Artificial intelligence in CIM systems. - 7 Economic evaluation of automated manufacturing. - 8 Conclusions. - References. - 2 Decision Support Systems in Manufacturing Systems Managemen. - 1 Introduction. - 2 DSS in general. - 3 Problem domains. - 4 Problem solving strategy. - 5 DSS for operation scheduling and dispatching. - 6 DSS for process planning. - 7 Conclusions. - References. - 3 AI in Manufacturing: Application to FM S Simulation Scheduling and Control. - 1 Introduction. - 2 Important issues in application of AI manufacturing. - 3 Knowledge based simulation evaluation scheduling quality control and real-time control of manufacturing systems. - 4 Conclusions. - References. - 4 Modelling and Analyzing Processes in Production and Administration. - 1 Motivation. - 2 ProMAX requirements. - 3 ProMAX architecture and environment. - 4 Impacts on software engineering. - 5 Applications in administration. - 6 Applications in production. - 7 Conclusions. - References. - 5 Quality Management in CIM. - 1 Introduction. - 2 Quality management in information system. - 3 Quality management in production control. - 4 Communication support for quality asssurance. - 5 Product based quality management and manufacturing control. - 6 Conclusions. - References. - 6 Best Practice in Shop Floor Schedulin. - 1 Introduction. - 2 The dominance of MRP and MRPII. - 3 Modern scheduling approaches. - 4 Research method. - 5 Assessment of planning and scheduling performance. - 6 Classification of planning and scheduling. - 7 Analysis of results. - 8 Conclusions. - References. - 7 A Stable Distributed Routing Policy for Flexible Manufacturing Systems. - 1 Introduction. - 2 Lyapunov stability of DEDS. - 3 Part type routing policy. - 4 Simulation example. - 5 Conclusion. - References. - 8 Shop Controllers-Managers for Intelligent Manufacturing. - 1 Introduction. - 2 Efficiency through economy of scope. - 3 Govern-for-flexibility knowledge architecture. - 4 Applications and example development. - 5 Concluding comments. - References. - 9 A CIM Designed According to Ward and Mello. - 1 The Ward and Mellor methodology. - 2 The Ward and Mellor methodology applied to CIM. - 3 Evaluation of the Ward and Mellor methodology. - 4 Conclusions. - References. - 10 Monitoring and Automatic Supervision in Manufacturing Systems. - 1 Introduction. - 2 Classification of disturbances. - 3 Sensors and methods of monitoring. - 4 Methods of influencing manufacturing systems. - 5 Automatic supervisory systems. - 6 Conclusions. - References. - 11 Petri Nets for Designing Manufacturing System. - 1 Introduction. - 2 Petri nets. - 3 Modeling FMS using Petri nets. - 4 Validation of Petri net models. - 5 Coordination control of production systems by mean of Petri nets. - 6 Design modelling and analysis of a FMS. - 7 Conclusions. - References. - 12 Petri Net-Based Approach to Synthesis of Intelligent Control Systems for DEDS. - 1 Introduction. - 2 Petri net-based modelling of DEDS. - 3 Analysis of the DEDS control possibilities. - 4 Petri nets in the rule-based knowledge representation. - 5 Utilizing the knowledge base in the control synthesis. - 6 Illustrative examples. - 7 Knowledge inference and automatic reasoning. - 8 An illustrative example. - 9 Conclusions. - References. - 13 New Methods and Tools for Commissioning of Manufacturing Lines with Robots. - 1 Introduction. - 2 State-of-the-art in robot planning and future needs. - 3 Methods and tools for commissioning time reduction. - 4 Conclusions. - References. - 14 Balanced Automation. - 1 Introduction. - 2 Difficulties and contributions. - 3 BAS and shop floor. - 4 BAS and scheduling. - 5 BAS and concurrent engineering. - 6 BAS and virtual enterprises. - 7 Conclusions. - References. - 15 Factory Principles Applied to Analytical Chemistry: An Integrated Laboratory Management System. - 1 Introduction. - 2 Business motives. - 3 Business integration. - 4 Laboratory integration. - 5 Anatomy of the ILMS. - 6 The integration process. - 7 The experience. - References. - 16 The Generalized Network Model: Algorithms and Application to Manufacturing Operations. - 1 Introduction. - 2 Network formulation and mathematical problem statement. - 3 Solution algorithms. - 4 Applications. - 5 Genet-optimizer and Genetexp: A new GN-modelling tool. - 6 Conclusions. - References. - Biographies of the Contributors. Language: English