Industrial Agents

Industrial Agents

Emerging Applications of Software Agents in Industry

1st Edition - March 12, 2015

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  • Editors: Paulo Leitão, Stamatis Karnouskos
  • eBook ISBN: 9780128004111
  • Paperback ISBN: 9780128003411

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Industrial Agents explains how multi-agent systems improve collaborative networks to offer dynamic service changes, customization, improved quality and reliability, and flexible infrastructure. Learn how these platforms can offer distributed intelligent management and control functions with communication, cooperation and synchronization capabilities, and also provide for the behavior specifications of the smart components of the system. The book offers not only an introduction to industrial agents, but also clarifies and positions the vision, on-going efforts, example applications, assessment and roadmap applicable to multiple industries. This edited work is guided and co-authored by leaders of the IEEE Technical Committee on Industrial Agents who represent both academic and industry perspectives and share the latest research along with their hands-on experiences prototyping and deploying industrial agents in industrial scenarios.

Key Features

  • Learn how new scientific approaches and technologies aggregate resources such next generation intelligent systems, manual workplaces and information and material flow system
  • Gain insight from experts presenting the latest academic and industry research on multi-agent systems
  • Explore multiple case studies and example applications showing industrial agents in a variety of scenarios
  • Understand implementations across the enterprise, from low-level control systems to autonomous and collaborative management units


Advanced practitioners from industry and academia, and graduate students in the field of multi-agent systems, particularly those tasked with applying agents to industrial scenarios

Table of Contents

  • Preface
    List of Contributors

    Part I: Industrial Agents: Concepts and Definitions
    1: Software Agent Systems
    1.1 Introduction
    1.2 Fundamentals of Agents and Agent-Based Systems
    1.3 Supporting Technologies and Concepts
    1.4 Conclusions
    2: Industrial Agents
    2.1 Introduction
    2.2 Modern Industrial Manufacturing Systems and Their Requirements
    2.3 Architectural Types of Industrial Manufacturing Systems
    2.4 The Holonic Paradigm and MAS-Based Holonic Systems
    2.5 Development Tools for Industrial MASs
    2.6 How MASs Can Nourish Other Industrial Approaches
    2.7 Industrial MASs: Challenges and Research Areas
    2.8 Conclusions
    3: The Design, Deployment, and Assessment of Industrial Agent Systems
    3.1 Introduction
    3.2 Distributed Versus Self-Organizing Design
    3.3 Design Challenges and Directions
    3.4 Deployment
    3.5 Assessment
    3.6 Conclusions

    Part II: Industrial Agents: Related Concepts and Technologies
    4: Industrial Agents in the Era of Service-Oriented Architectures and Cloud-Based Industrial Infrastructures
    4.1 Introduction
    4.2 Technologies
    4.3 Bridging Agents and SOA-Enabled Devices
    4.4 Use Case: Cyber-Physical Infrastructure Simulation by Coupling Software Agents and Physical Devices
    4.5 Use Case: Service-Oriented Industrial Automation System
    4.6 Conclusions and Future Directions
    5: Distributed Real-Time Automation and Control - Reactive Control Layer for Industrial Agents
    5.1 Introduction/Motivation
    5.2 RCLs for Industrial Agents
    5.3 Standard-Based Realization
    5.4 Example
    5.5 Discussion
    5.6 Conclusions
    6: Industrial Agents Cybersecurity
    6.1 Introduction
    6.2 Technology Trends and IAs
    6.3 Agent Threat Context
    6.4 Requirements on IA Solutions
    6.5 Discussion
    6.6 Conclusions
    7: Virtual Enterprises Based on Multiagent Systems
    7.1 Introduction/Motivation
    7.2 Characteristics of VEs
    7.3 The Benefits of Forming VEs
    7.4 Obstacles and Approaches for VEs
    7.5 MASs in the Coordination of VEs
    7.6 MASs in E-commerce Applications
    7.7 Case Study
    7.8 Benefits and Assessment
    7.9 Discussion
    7.10 Conclusions
    8: An Assessment of the Potentials and Challenges in Future Approaches for Automation Software
    8.1 Introduction
    8.2 Related Work
    8.3 Assessing the Potentials and Challenges in Industry
    8.4 Concepts for Agents in Manufacturing Automation
    8.5 Summary and Outlook
    9: Agent-Based Control of Production Systems—and Its Architectural Challenges
    9.1 Introduction
    9.2 Terms and Definitions
    9.3 Generic Engineering Processes
    9.4 Application Cases
    9.5 Architectural Challenges
    9.6 Conclusions and Overview
    10: Identification and Implementation of Agents for Factory Automation Exploiting Mechatronical Concepts for Production System Structuring
    10.1 Introduction
    10.2 Starting Points
    10.3 Mechatronic-Oriented Agent Systems
    10.4 Summary

    Part III: Industrial Agent Applications
    11: Cloud Based Agent Framework for the Industrial Automation Sector
    11.1 Introduction
    11.2 Application Overview
    11.3 Application Details
    11.4 Benefits and Assessment
    11.5 Discussion
    11.6 Conclusions
    12: Multi-Agent Systems for Real-Time Adaptive Resource Management
    12.1 Introduction
    12.2 The Problem and Solution for Adaptive Scheduling
    12.3 Examples of Applications for Industry
    12.4 Discussion
    12.5 Conclusion
    13: Large-Scale Network and Service Management with WANTS
    13.1 Introduction and Motivation
    13.2 WANTS at a Glance
    13.3 WANTS in Details
    13.4 Discussion
    13.5 Conclusions
    14: Cross-Domain Energy Savings by Means of Unified Energy Agents
    14.1 Introduction/Motivation
    14.2 Application Overview
    14.3 Application Details
    14.4 Benefits and Assessment
    14.5 Discussion
    14.6 Conclusions
    15: A Multi-Agent System Coordination Approach for Resilient Self-Healing Operations in Multiple Microgrids
    15.1 Introduction/Motivation
    15.2 Problem Overview: Coordination and Control of Microgrids
    15.3 Application Details: The Multi-Agent System Coordination Approach for a Resilient Self-Healing Operation
    15.4 Benefits and Assessment: Impacts of MAS Coordination on Multiple Microgrid Transient Stability
    15.5 Discussion and Conclusions
    16: Multi-Agent System for Integrating Quality and Process Control in a Home Appliance Production Line
    16.1 Introduction/Motivation
    16.2 Application Overview
    16.3 Application Details
    16.4 Benefits and Assessment
    16.5 Discussion
    16.6 Conclusions
    17: Industrial Agents for the Fast Deployment of Evolvable Assembly Systems
    17.1 Introduction
    17.2 Problem Overview
    17.3 IADE—Its Architecture and Associated Concepts
    17.4 On the Implementation of the IADE Stack
    17.5 Benefits and Assessment
    17.6 Lessons Learned
    17.7 Conclusions
    18: Automation Agents for Controlling the Physical Components of a Transportation System
    18.1 Introduction/Motivation
    18.2 Application Overview
    18.3 Application Details
    18.4 Benefits and Assessment
    18.5 Discussion
    18.6 Conclusions
    19: Intelligent Factory Agents with Predictive Analytics for Asset Management
    19.1 Introduction/Motivation
    19.2 Application Overview
    19.3 Application Details
    19.4 Case Study
    19.5 Benefits and Assessment
    19.6 Discussion
    19.7 Conclusions
    20: A Biomimetic Approach to Distributed Maintenance Management Based on a Multi-Agent System
    20.1 Motivation
    20.2 An Overview of the Applications
    20.3 Application Details: AI2MS, a MAS Based on a Biomimetic Approach
    20.4 Benefits and Assessment
    20.5 Discussion
    20.6 Conclusion
    21: Programming of Multiagent Applications with JIAC
    21.1 Introduction/Motivation
    21.2 Application Overview
    21.3 Application Details
    21.4 Tools
    21.5 Benefits and Assessment
    21.6 Discussion
    21.7 Conclusion

    Part IV: A Survey on Factors that Impact Industrial Agent Acceptance
    22: A Survey on Factors that Impact Industrial Agent Acceptance
    22.1 Introduction
    22.2 Factors for Industrial Agent Acceptance
    22.3 Methodology, Data Collection, and Demographics
    22.4 Survey Results and Analysis
    22.5 Conclusions
    Reference Index
    Author Index
    Subject Index

Product details

  • No. of pages: 476
  • Language: English
  • Copyright: © Elsevier 2015
  • Published: March 12, 2015
  • Imprint: Elsevier
  • eBook ISBN: 9780128004111
  • Paperback ISBN: 9780128003411

About the Editors

Paulo Leitão

Paulo Leitão is currently an Associate Professor at Polytechnic Institute of Bragança as well as Head of the Department of Electrical Engineering, where he has taught robotics and automation systems courses. His research includes intelligent and reconfigurable systems, collaborative factory automation, agent-based and holonic control, service-oriented architectures and bio-inspiration engineering. He has published his research more than 100 times in journals including IEEE Intelligent Systems, and Transactions on Systems, Man and Cybernetics, and at IEEE conferences on Industrial Electronics, Systems, Self-adaptive Systems, and more. He is the research lead on the project “Grace” to develop systems to integrate process and quality control using multi-agent technology.

Affiliations and Expertise

Associate Professor and Head of the Department of Electrical Engineering, Polytechnic Institute of Bragança, Portugal

Stamatis Karnouskos

Stamatis Karnouskos is an expert on the IoT at SAP, Germany. He investigates the added value and impact of emerging technologies in enterprise systems. For over 20 years, he has led efforts in several European Commission and industry-funded projects relate to IoT, Cyber-Physical Systems, Industrie 4.0, manufacturing, smart grids, smart cities, security, and mobility. Stamatis has extensive experience in research and technology management within the industry as well as the European Commission and several national research funding bodies (e.g., in Germany, France, Switzerland, Denmark, Czech Republic, and Greece). He has served on the technical advisory board of the Internet Protocol for Smart Objects (IPSO) Alliance and the Permanent Stakeholder Group of the European Network and nformation Security Agency (ENISA).

Affiliations and Expertise

expert on the IoT at SAP, Germany.

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