
Industrial Applications of Holonic and Multi-Agent Systems
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This book constitutes the refereed proceedings of the 7th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2015, held in Valencia, Spain, in September 2015.
The 19 revised full papers presented together with one invited talk were carefully reviewed and selected from 27 submissions. The papers are organized in the following topical sections: surveys, conceptual design and validation, digital factories and manufacturing control systems, ARUM: adaptive production management, and smart grids, complex networks and big data.
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Persons
Content
- Intro
- Preface
- HoloMAS 2015
- Contents
- Invited Talk
- Designing Multi-agent Systems for Resilient Engineering Systems
- 1 Introduction
- 2 Static Resilience Measures in Engineering Systems
- 3 Enabling Dynamic Resilience with Multi-agent Systems
- 4 Multi-agent System Design Principles
- 5 Conclusion and Future Work
- References
- Surveys
- Software Engineering Methods for Intelligent Manufacturing Systems: A Comparative Survey
- 1 Introduction
- 2 Intelligent Manufacturing Systems
- 3 Modeling Requirements for Intelligent Manufacturing Systems
- 3.1 Functional Requirements
- 3.2 Software Engineering Requirements
- 4 Methodologies for Engineering Intelligent Manufacturing Systems
- 5 Comparative Overview
- 6 Conclusions
- References
- A Survey on Standards and Ontologies for Process Automation
- 1 Introduction
- 2 The Project BatMAS
- 3 Standards for Process Automation
- 4 Ontologies for Process Automation
- 5 Conclusion
- References
- Conceptual Design and Validation
- From Conception to Implementation of Reconfigurable and Distributed Manufacturing Control System
- 1 Introduction
- 2 Modeling and Implementation of Reconfigurable and Distributed Manufacturing Control System
- 3 Application Example
- 4 Conclusions
- References
- The Designing Process for a HMES Used for the Management of Radiopharmaceuticals Production
- 1 Introduction
- 2 Radiopharmaceuticals Manufacturing Process and Core Components of the Management System
- 3 The Proposed HMES Architecture
- 4 HMES Functionality for Environment and Scheduling
- 5 Simulation of the Proposed HMES Using NetLogo
- 6 Conclusions and Future Challenges
- References
- Behavioural Validation of the ADACOR2 Self-organized Holonic Multi-agent Manufacturing System
- 1 Introduction
- 2 A Self-organized Manufacturing Control Architecture
- 3 A Behavioural Self-organized Mechanism
- 4 Validation of the Behavioural Self-organization
- 4.1 The AIP-PRIMECA Cell Description
- 4.2 Validation Scenarios
- 4.3 Behavioural Self-organization Assessment
- 5 Conclusions
- References
- Digital Factories and Manufacturing Control Systems
- A Service-Oriented Architecture Implementation in the Digital Factory of the University
- 1 Introduction
- 1.1 Paper Structure
- 2 State of the Art: SOA in Automation
- 2.1 DPWS
- 2.2 OPC UA
- 2.3 gSOAP
- 3 The Digital Fact tory at the University of Emden/Leer
- 4 SOA Implement tation in the Digital Factory
- 5 Outlook
- References
- A Volatile Knowledge Approach to Improve the Autonomy of Holons: Application to a Flexible Job Shop Manufacturing System
- 1 Introduction
- 2 Volatile Knowledge for Flexible Assembly Cells Management
- 2.1 Elements of Volatile Knowledge Model
- Confidence and Volatility.
- Confidence Evolution.
- 2.2 Aggregation of Knowledge
- 3 Applications of Volatile Knowledge: Flexible Job Shop Problem
- 3.1 AIP: a Real Flexible Manufacturing Cell
- 3.2 Experimentations
- 4 Conclusion
- References
- Invariant-Based Production Control Reviewed: Mixing Hierarchical and Heterarchical Control in Flexible Job Shop Environments
- 1 Introduction
- 2 Definitions and Literature Review
- 2.1 Balancing Hierarchical and Heterarchical Control
- 2.2 The Flexible Job Shop Scheduling Problem
- 3 Model
- 3.1 Background: Flexible Job-Shop Scheduling on Graphs
- 3.2 General Setup
- 3.3 Implementation of Hierarchical Planning
- 3.4 Removing Redundant Scheduling Decisions
- 3.5 Invariant Creation and Assessment
- 3.6 Distributed Production Controller
- 3.7 Distributed Control Heuristics that Guarantee Valid Schedules
- 4 Initial Results
- 4.1 Validation of Invariant Assessment Measure
- 4.2 Impact on Performance
- 5 Discussion and Future Research
- References
- An Approach for Characterizing the Operating Modes in Dynamic Hybrid Control Architectures
- 1 Introduction
- 2 Operating Modes in Dynamic Hybrid Control Architectures
- 3 An Approach to Characterize the Operating Modes Towards a Switching Process
- 4 Operating Modes in D-HCA of a Flexible Manufacturing System
- 4.1 The Case of a Flexible Manufacturing System
- 4.2 Controlling System Architecture and Governance Mechanism Entity
- 4.3 Operating Modes and Its Characterization
- 4.4 Dynamic Situation in the Case Study Scenario
- 5 Experiments and Results
- 6 Conclusions
- References
- Interacting Holons in Evolvable Execution Systems: The NEU Protocol
- 1 Introduction
- 2 NEU Protocol
- 2.1 NEU Protocol Initialization
- 2.2 NEU Protocol Execution
- 2.3 NEU Protocol Finalization
- 3 Evolving HMES
- 3.1 Simple Product Holon
- 3.2 Test and Repair Product Holon
- 3.3 Discussion
- 4 NEU Protocol Enhancement for e-Health
- 4.1 Validity / Accuracy versus Efficiency / Effort
- 4.2 Qualified Requests
- 4.3 Discussion
- 5 Conclusion
- References
- ARUM: Adaptive Production Management
- Adaptive Production Management Using a Service-Based Platform
- 1 Introduction
- 2 ARUM Platform Architecture
- 3 Architecture Support for Technical Solution
- 4 Usage Scenarios
- 4.1 Strategic Planning Operation
- 5 Concluding Remarks
- References
- Agent-Based Production Scheduling for Aircraft Manufacturing Ramp-up
- 1 Context and Motivation
- 2 Related Work
- 3 Agent-Based Scheduler for Aircraft Manufacturing
- 3.1 Use-Case Description
- 3.2 Proposed Agent-Based Scheduler
- 4 Integration of the Scheduler into the Overall ARUM Solution
- 5 Conclusions and Future Work
- References
- Adaptive Production Management for Small-Lot Enterprise
- 1 Introduction
- 2 Production Process
- 3 Main Challenges
- 4 ARUM System
- 4.1 System Architectur re
- 4.2 Method of Planning
- 5 Application of ARUM System
- 6 Results
- 7 Conclusion
- References
- Approach to the Solution of Aerospace Product Lifecycle Management Problem Based on Network-Centric Principles
- 1 Introduction
- 2 Aircraft as a Complex System
- 3 New Principles of Creating Intelligent PLM-Systems
- 4 Network-Centric Approach to PLM-Systems Development
- 4.1 Models and Methods for Implementing the Network-Centric Approach
- 5 An Example of Possible Implementation and Cooperation of PLM Systems
- 6 Conclusion
- References
- Smart Grids, Complex Networks and Big Data
- Towards a Design Methodology for Agent-Based Automation of Smart Grid
- 1 Introduction
- 2 Design Methodology for Agent-Based Smart Grid Automation
- 2.1 Definition of a Design Methodology
- 2.2 Proposed Design Methodology
- 3 Rule Based Transformation Method from IEC 61850 to IEC 61499 Models
- 4 Use Case: Developing Smart Grid Protection Using Proposed Methodology
- 5 Conclusion
- References
- An Open Source-Based and Standard-Compliant Smart Grid Laboratory Automation System: The AIT SmartEST Approach
- 1 Introduction
- 2 AIT SmartEST Laboratory
- 2.1 Overview
- 2.2 Validation and Testing Scenarios
- 2.3 Requirements for Laboratory Automation
- 3 Open Source-Based Automation System
- 3.1 General Concept
- 3.2 Realized Hardware and Software Environment
- 4 Summary and Conclusions
- References
- Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating
- 1 Introduction
- 2 Related Work
- 3 Solution
- 3.1 Problem Definition
- 3.2 Simple Genetic Algorithm
- 3.3 Agent-Based System
- 4 Validation Study
- 5 Conclusion
- References
- Big Data Semantics in Industry 4.0
- 1 Introduction
- 2 Industry 4.0 and Cyber-Physical Systems
- 2.1 Cyber-Physical systems
- 2.2 Internet of Things
- 2.3 Internet of Services
- 2.4 Smart Factory
- 2.5 Other Components
- 2.6 Summary
- 3 Big Data
- 3.1 Big Data in Manufacturing Industry
- 4 Semantic Web
- 4.1 Semantic Sensor Ne etwork
- 5 Semantics and B Big Data in Industrial Automation
- 5.1 Manufacturing Pla ant Data Processing
- 5.2 Semantic Big Data Historian
- 5.3 Description of Sensors and Data
- 5.4 Architecture
- 5.5 Case Study - Passive House
- 6 Discussion
- 7 Conclusion and Next Steps
- References
- Agent Simulation of Traffic Optimisation with the Use of Complex Networks Analysis and Voting
- 1 Introduction
- 2 Research Domain Description
- 3 System Model
- 4 Applied Traffic Management Algorithms
- 5 Example
- 6 Results
- 7 Conclusion
- References
- Author Index
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