The Experts below are selected from a list of 1176 Experts worldwide ranked by ideXlab platform

Paulo Leitão - One of the best experts on this subject based on the ideXlab platform.

  • Engineering an ADACOR based solution into a small-scale production system
    2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 2016
    Co-Authors: Jose Barbosa, Jose Dias, Arnaldo Pereira, Paulo Leitão
    Abstract:

    On the verge of Cyber-Physical Systems (CPS), companies will need, sooner or later, to adapt their Systems in order to follow the emergent visions of Industrie 4.0 and Industrial Internet demanding the digitalization of their processes, preventing the losing of their competiveness levels. The engineering of such innovative Manufacturing Control Systems assumes a crucial challenge without which becomes hard to convince researchers and, primarily, practitioners of the proposed architecture potentials. This paper describes the engineering aspects of deploying an ADACOR (ADAptive holonic Control aRchitecture for distributed Manufacturing Systems) based CPS for a real small-scale production system. Since the solution is using agent technology, a special attention is devoted to the interface from the agent Control layer to the physical resources using the industrially adopted OPC-UA (OPC Unified Architecture). At the end, some lessons learned in engineering this CPS are drawn.

  • ISIE - Engineering an ADACOR based solution into a small-scale production system
    2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 2016
    Co-Authors: Jose Barbosa, Jose Dias, Arnaldo Pereira, Paulo Leitão
    Abstract:

    On the verge of Cyber-Physical Systems (CPS), companies will need, sooner or later, to adapt their Systems in order to follow the emergent visions of Industrie 4.0 and Industrial Internet demanding the digitalization of their processes, preventing the losing of their competiveness levels. The engineering of such innovative Manufacturing Control Systems assumes a crucial challenge without which becomes hard to convince researchers and, primarily, practitioners of the proposed architecture potentials. This paper describes the engineering aspects of deploying an ADACOR (ADAptive holonic Control aRchitecture for distributed Manufacturing Systems) based CPS for a real small-scale production system. Since the solution is using agent technology, a special attention is devoted to the interface from the agent Control layer to the physical resources using the industrially adopted OPC-UA (OPC Unified Architecture). At the end, some lessons learned in engineering this CPS are drawn.

  • Governance mechanism in Control architectures for flexible Manufacturing Systems
    IFAC-PapersOnLine, 2015
    Co-Authors: Jose-fernando Jimenez, Gabriel Zambrano Rey, Abdelghani Bekrar, Damien Trentesaux, Paulo Leitão
    Abstract:

    Manufacturing Systems, and specifically Flexible Manufacturing Systems (FMS), face the challenge of accomplish global optimal performance and reactiveness at dynamic Manufacturing environments. For this reason, Manufacturing Control Systems must incorporate mechanisms that support dynamic custom-build responses. This paper introduces a framework that includes a governance mechanism in Control system architectures that dynamically steers the autonomy of decision-making between predictive and reactive approaches. Results from experiments led in simulation show that it is worth studying in depth a governance mechanism that tailors the structure and/or behaviour of a Manufacturing Control system and, at the same time, potentiate the reactivity required in Manufacturing operations.

  • SMC - State of the Art and Future Trends of Optimality and Adaptability Articulated Mechanisms for Manufacturing Control Systems
    2013 IEEE International Conference on Systems Man and Cybernetics, 2013
    Co-Authors: Jose-fernando Jimenez, Abdelghani Bekrar, Damien Trentesaux, Jairo R. Montoya-torres, Paulo Leitão
    Abstract:

    Nowadays, Manufacturing Control Systems have evolved from reactive and informative decision support system to a proactive and intelligent manufacture management mechanism. Industries require both optimal and adaptive Manufacturing processes in order to respond competitively to market requirements. In response, advanced Manufacturing Control Systems are configured as artificial intelligence distributed architectures capable to support environment disturbances. However, these techniques, specifically Multi-Agent Systems and Holonic Manufacturing Systems, are weak supporting optimal performance. Conversely, Operational Research decision support Systems achieve optimality under centralized architectures. Still, these are weak supporting adaptable processes under environmental disturbances. Consequently, researchers recently have focused in articulating optimality and adaptation paradigms in order to construct a robust optimal-wise and adaptable mechanism. This paper surveys the literature in Manufacturing Control Systems that use these articulated adaptable optimal mechanism, constructs a proposed typology according structural features and discusses future possibilities for balancing optimality and adaptability characteristics.

  • State of the Art and Future Trends of Optimality and Adaptability Articulated Mechanisms for Manufacturing Control Systems
    2013 IEEE International Conference on Systems Man and Cybernetics, 2013
    Co-Authors: Jose-fernando Jimenez, Abdelghani Bekrar, Damien Trentesaux, Jairo R. Montoya-torres, Paulo Leitão
    Abstract:

    Nowadays, Manufacturing Control Systems have evolved from reactive and informative decision support system to a proactive and intelligent manufacture management mechanism. Industries require both optimal and adaptive Manufacturing processes in order to respond competitively to market requirements. In response, advanced Manufacturing Control Systems are configured as artificial intelligence distributed architectures capable to support environment disturbances. However, these techniques, specifically Multi-Agent Systems and Holonic Manufacturing Systems, are weak supporting optimal performance. Conversely, Operational Research decision support Systems achieve optimality under centralized architectures. Still, these are weak supporting adaptable processes under environmental disturbances. Consequently, researchers recently have focused in articulating optimality and adaptation paradigms in order to construct a robust optimal-wise and adaptable mechanism. This paper surveys the literature in Manufacturing Control Systems that use these articulated adaptable optimal mechanism, constructs a proposed typology according structural features and discusses future possibilities for balancing optimality and adaptability characteristics.

D.h. Norrie - One of the best experts on this subject based on the ideXlab platform.

  • OOIS - Design of Real-Time Distributed Manufacturing Control Systems using UML Capsules
    OOIS 2001, 2020
    Co-Authors: Martyn Fletcher, R.w. Brennan, D.h. Norrie
    Abstract:

    In this paper, we describe a general approach for designing real-time distributed Manufacturing Control Systems based on the IEC 61499 (function block) model. We also present two orthogonal methodologies to construct function blocks utilizing UML capsules within an object-oriented framework. In the first methodology we treat a function block as a single capsule, while in the second we model the function block as a component containing multiple capsules. The key difference between these two viewpoints is the granularity of Control we have over the function block’s operation and its location within the decentralized Manufacturing environment.

  • Design and evaluation of real-time distributed Manufacturing Control Systems
    International Journal of Manufacturing Technology and Management, 2006
    Co-Authors: Martyn Fletcher, R.w. Brennan, S. Olsen, D.h. Norrie
    Abstract:

    In this paper, we describe two general models for designing real-time distributed Manufacturing Control Systems based on the IEC61499 (function block) standard. In order to construct IEC61499 function blocks, each model utilises UML capsules within an object-oriented framework. In the first model we treat a function block as a single capsule, while in the second we model the function block as a component containing multiple capsules. The key difference between these two viewpoints is the granularity of Control we have over the function block's operation and its location within the decentralised Manufacturing environment. We also evaluate the merits of these two viewpoints using a discrete-event simulation experimental test bed.

  • Metrics for evaluating distributed Manufacturing Control Systems
    Computers in Industry, 2003
    Co-Authors: R.w. Brennan, D.h. Norrie
    Abstract:

    In this paper, two classes of metrics are proposed that can be used to evaluate alternative Manufacturing Control architectures: those dealing with the Controlled system (i.e. the Manufacturing system) and those dealing with the Control system. In order to illustrate the use of these metrics, the problem of scheduling a simple Manufacturing cell is tackled using two test Control architectures and the performance of these alternative approaches is evaluated using a modular discrete-event simulation model. The results of the paper suggest that it is worthwhile to use both Manufacturing and Control system performance measure to evaluate alternative Control architectures, especially when considering dynamic architectures such as a Holonic Manufacturing System (HMS; i.e. architectures that adapt to changes in the Manufacturing environment).

  • DEXA Workshops - Comparing two approaches to modelling decentralised Manufacturing Control Systems with UML capsules
    Proceedings. 13th International Workshop on Database and Expert Systems Applications, 2002
    Co-Authors: R.w. Brennan, S. Olsen, Martyn Fletcher, D.h. Norrie
    Abstract:

    In this paper, we describe two orthogonal methodologies for building decentralised Manufacturing Control Systems. The fundamental building block of these Control Systems is the UML capsule stereotype that can be used to design object-oriented software Systems that are open, agile, have the capacity to manage real-time tasks and so can provide varying degrees of 'intelligence' within a 21/sup st/ century Manufacturing environment. We also evaluate the merits of these two viewpoints using a discrete-event simulation experimental test bed.

  • Comparing two approaches to modelling decentralised Manufacturing Control Systems with UML capsules
    Proceedings. 13th International Workshop on Database and Expert Systems Applications, 2002
    Co-Authors: R.w. Brennan, M. Fletcher, S. Olsen, D.h. Norrie
    Abstract:

    In this paper, we describe two orthogonal methodologies for building decentralised Manufacturing Control Systems. The fundamental building block of these Control Systems is the UML capsule stereotype that can be used to design object-oriented software Systems that are open, agile, have the capacity to manage real-time tasks and so can provide varying degrees of 'intelligence' within a 21/sup st/ century Manufacturing environment. We also evaluate the merits of these two viewpoints using a discrete-event simulation experimental test bed.

Pavel Vrba - One of the best experts on this subject based on the ideXlab platform.

  • semantic technologies latest advances in agent based Manufacturing Control Systems
    International Journal of Production Research, 2011
    Co-Authors: Pavel Vrba, Miloslav Radakovič, Marek Obitko, Vladimír Mařík
    Abstract:

    The manuscript reports on the latest advancements in the field of multi-agent based industrial Control Systems. It is declared that this area is becoming strongly influenced by the recent massive proliferation of semantic technologies in various fields of software engineering. The application of ontologies for expressing semantics of data does not restrict any longer exclusively on semantic web or semantic web services. Ontologies are being applied for advanced handling, exchanging and reasoning about knowledge in the area of industrial automation, especially in the case of production Systems based on multi-agent technology. The paper provides a comprehensive survey of the application of ontologies in agent-based Control Systems and discusses the common characteristics of such integration. The generic ontology designed for discrete Manufacturing, which covers ordering, production planning and material handling aspects is presented. In addition, the framework for integration of this ontology in distributed...

  • Rockwell Automation's Holonic and Multiagent Control Systems Compendium
    IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2011
    Co-Authors: Pavel Vrba, Pavel Tichý, Raymond J. Staron, Vladimír Mařík, Francisco P. Maturana, Kenwood H. Hall, Petr Kadera
    Abstract:

    This paper provides a comprehensive overview of long-term R&D activities of the Rockwell Automation (RA) company in the field of holonic and agent-based Manufacturing Control Systems. It presents a coherent framework of methodologies for designing agent-based Control Systems, tools that support implementation and validation of them, and agent applications that were developed for various industrial Systems. The common attribute is the integration of novel techniques, such as multiagent Systems or semantics with the current “old-fashioned” automation architectures represented mainly by programmable logic Controllers. Retaining the ability of the Control system to meet the strict real-time constraints and concurrently raise its intelligence has always been of highest importance. The paper does not focus merely on RA's work, but discusses all its aspects in a context of other existing works in this area.

  • Detection of anomalies in a transport system using automation agents with a reflective world model
    Proceedings of the IEEE International Conference on Industrial Technology, 2010
    Co-Authors: Mathieu Vallée, Munir Merdan, Pavel Vrba
    Abstract:

    Manufacturing Systems need to become more flexible and agile in order to address permanently changing requirements. Agent-based Manufacturing Control Systems are envisioned as a relevant solution. However, designing and deploying such Systems is complex, and raises some concerns regarding safety, robustness and emergence of unforeseen behaviors. To address these concerns, we propose an approach in which automation agents are created by extending existing hardware and real-time Control software with advanced capabilities for cooperation and run-time diagnosis. The main feature of an automation agent is the reflective world model — a symbolic model of the agent's world, including the agent itself. In this paper, we present the application of a reflective world model for automation agents to detect some anomalies in a pallet transport system. This work shows the suitability of the proposed approach for designing advanced run-time diagnosis capabilities, while preserving existing hardware and Control software.

  • Procedural and declarative knowledge in agent-based Control
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, 2010
    Co-Authors: Miloslav Radakovič, Pavel Vrba, Marek Obitko
    Abstract:

    This work covers the latest application oriented aspects of flexible and reconfigurable intelligent Manufacturing Control. In recent years, Manufacturing enterprises and industrial plants must be aware of the changing custom environment and be capable to adapt and understand to customers needs. Latest technologies and research in intelligent Manufacturing Systems emphasize the interaction, collaboration and knowledge processing, and many applications based on multi-agent Systems technologies are dealing with knowledge acquisition, manipulation and reuse. This paper shows how procedural and declarative knowledge can be utilized and processed in agent-based Manufacturing Control Systems to enable better flexibility and adaptability to customer changes. The explicit description of domain of interest, e.g. production planning, will provide a more efficient way for agents to represent and exchange the knowledge, to do automated pattern matching and reasoning, etc. We are focusing on semantic enrichment of agents and their planning capabilities within selected packing production line scenario.

  • Semantic Extension of Agent-Based Control: The Packing Cell Case Study
    Holonic and Multi-Agent Systems for Manufacturing, 2009
    Co-Authors: Pavel Vrba, Miloslav Radakovič, Marek Obitko, Vladimír Mařík
    Abstract:

    The paper reports on the latest R&D activities in the field of agent-based Manufacturing Control Systems. It is documented that this area becomes strongly influenced by the advancements of semantic technologies like the Web Ontology Language. The application of ontologies provides the agents with much more effective means for handling, exchanging and reasoning about the knowledge. The ontology dedicated for semantic description of orders, production processes and material handling tasks in discrete Manufacturing domain has been developed. In addition, the framework for integration of this ontology in distributed, agent-based Control solutions is given. The Manufacturing Agent Simulation Tool (MAST) is used as a base for pilot implementation of the ontology-powered multiagent Control system; the packing cell environment is selected as a case study.

Alessio Bertone - One of the best experts on this subject based on the ideXlab platform.

  • standard linux for embedded real time robotics and Manufacturing Control Systems
    Robotics and Computer-integrated Manufacturing, 2009
    Co-Authors: Gabriele Bruzzone, Massimo Caccia, Gianfranco Ravera, Alessio Bertone
    Abstract:

    The main goal of the research presented in this paper is to evaluate the possibility of using standard Linux for embedded real-time applications in robotics and Manufacturing as a consequence of dramatic improvements in hardware computing power and free software quality in the last few years. After an accurate analysis of the problems related to make Linux, a native Unix-like fair kernel, real-time, laboratory tests showed that a large variety of applications (up to 1KHz) can be implemented using Linux and commercial-of-the-shelf hardware. Practical examples of the Control Systems of an unmanned surface vessel used for robotics research and of a marking machine for steelworks are reported and discussed.

  • Standard Linux for embedded real-time Manufacturing Control Systems
    2006 14th Mediterranean Conference on Control and Automation, 2006
    Co-Authors: Gabriele Bruzzone, Massimo Caccia, Alessio Bertone, Gianfranco Ravera
    Abstract:

    The main goal of the research presented in this paper was to evaluate the possibility of using standard Linux for embedded real-time applications in Manufacturing as a consequence of dramatic improvements in hardware computing power and free software quality in the last few years. After an accurate analysis of the problems related to making Linux, a native Unix-like fair kernel, real-time, laboratory tests showed that a large variety of applications (up to 1 KHz) can be implemented using Linux and commercial-of-the-shelf (COTS) hardware. A practical example of the Control system of a marking machine for steelworks is reported and discussed

R.w. Brennan - One of the best experts on this subject based on the ideXlab platform.

  • OOIS - Design of Real-Time Distributed Manufacturing Control Systems using UML Capsules
    OOIS 2001, 2020
    Co-Authors: Martyn Fletcher, R.w. Brennan, D.h. Norrie
    Abstract:

    In this paper, we describe a general approach for designing real-time distributed Manufacturing Control Systems based on the IEC 61499 (function block) model. We also present two orthogonal methodologies to construct function blocks utilizing UML capsules within an object-oriented framework. In the first methodology we treat a function block as a single capsule, while in the second we model the function block as a component containing multiple capsules. The key difference between these two viewpoints is the granularity of Control we have over the function block’s operation and its location within the decentralized Manufacturing environment.

  • Design and evaluation of real-time distributed Manufacturing Control Systems
    International Journal of Manufacturing Technology and Management, 2006
    Co-Authors: Martyn Fletcher, R.w. Brennan, S. Olsen, D.h. Norrie
    Abstract:

    In this paper, we describe two general models for designing real-time distributed Manufacturing Control Systems based on the IEC61499 (function block) standard. In order to construct IEC61499 function blocks, each model utilises UML capsules within an object-oriented framework. In the first model we treat a function block as a single capsule, while in the second we model the function block as a component containing multiple capsules. The key difference between these two viewpoints is the granularity of Control we have over the function block's operation and its location within the decentralised Manufacturing environment. We also evaluate the merits of these two viewpoints using a discrete-event simulation experimental test bed.

  • Metrics for evaluating distributed Manufacturing Control Systems
    Computers in Industry, 2003
    Co-Authors: R.w. Brennan, D.h. Norrie
    Abstract:

    In this paper, two classes of metrics are proposed that can be used to evaluate alternative Manufacturing Control architectures: those dealing with the Controlled system (i.e. the Manufacturing system) and those dealing with the Control system. In order to illustrate the use of these metrics, the problem of scheduling a simple Manufacturing cell is tackled using two test Control architectures and the performance of these alternative approaches is evaluated using a modular discrete-event simulation model. The results of the paper suggest that it is worthwhile to use both Manufacturing and Control system performance measure to evaluate alternative Control architectures, especially when considering dynamic architectures such as a Holonic Manufacturing System (HMS; i.e. architectures that adapt to changes in the Manufacturing environment).

  • DEXA Workshops - Comparing two approaches to modelling decentralised Manufacturing Control Systems with UML capsules
    Proceedings. 13th International Workshop on Database and Expert Systems Applications, 2002
    Co-Authors: R.w. Brennan, S. Olsen, Martyn Fletcher, D.h. Norrie
    Abstract:

    In this paper, we describe two orthogonal methodologies for building decentralised Manufacturing Control Systems. The fundamental building block of these Control Systems is the UML capsule stereotype that can be used to design object-oriented software Systems that are open, agile, have the capacity to manage real-time tasks and so can provide varying degrees of 'intelligence' within a 21/sup st/ century Manufacturing environment. We also evaluate the merits of these two viewpoints using a discrete-event simulation experimental test bed.

  • Comparing two approaches to modelling decentralised Manufacturing Control Systems with UML capsules
    Proceedings. 13th International Workshop on Database and Expert Systems Applications, 2002
    Co-Authors: R.w. Brennan, M. Fletcher, S. Olsen, D.h. Norrie
    Abstract:

    In this paper, we describe two orthogonal methodologies for building decentralised Manufacturing Control Systems. The fundamental building block of these Control Systems is the UML capsule stereotype that can be used to design object-oriented software Systems that are open, agile, have the capacity to manage real-time tasks and so can provide varying degrees of 'intelligence' within a 21/sup st/ century Manufacturing environment. We also evaluate the merits of these two viewpoints using a discrete-event simulation experimental test bed.