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  • 1.
    Akillioglu, Hakan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dias-Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Continuous precise workload control method2014In: IEEE International Conference on Industrial Engineering and Engineering Management, 2014, p. 511-515Conference paper (Refereed)
    Abstract [en]

    The diversity of requirements and the frequency of change in the market can only be competed with dynamicity and responsiveness in both production and planning systems. In this sense, working principles of a novel workload control method, called continuous precise workload control are presented in this paper. The implementation of the method is based on a multi-agent based architecture. The presented approach generates dynamic non periodic release decisions exploiting real time shop floor information. The performance of the system and correlation of norm value against the assessment range are investigated through an experimented test case.

  • 2.
    Akillioglu, Hakan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Operational characterization of evolvable productionsystems2012In: 4th CIRP Conference on Assembly Technologies and Systems – CATS 2012, 2012, p. 85-90Conference paper (Refereed)
    Abstract [en]

    On the way to achieve mass customization production systems have to obtain the capability of rapid reconfiguration of not only physical components but also from control point of view. Evolvable Production System targets highly adaptable mechanical and control solutions that can enhance reusability and interoperability of modules, enabling lifetime extension of the modules. The focus of EPS paradigm is to achieve overall system adaptability by autonomous modules which are dedicated to specific processes with the capability of short deployment time at shop floor without reprogramming effort. From the operational point of view EPS brings significant enhancements considering shop floor dynamics and performances therefore positioning of EPS principles and approaches in production system typology from different perspectives is essential. This has been done by two means which are process flow structure and customer order decoupling point location.

  • 3.
    Akillioglu, Hakan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Evolvable Assembly Systems: Mechatronic Architecture Implications and Future Research2010Conference paper (Refereed)
    Abstract [en]

    The balance between assembly process optimality and their system’s ability to adapt to new requirements is a key to success for assembly companies. To increase SME’s survivability, an effective methodology is needed to handle the requirements of both agility and mass customization. Evolvable Assembly Systems (EAS) paradigm is a next generation assembly systems focused on these issues. Three key issues are here in focus: process-oriented approach, fine modular granularity, and module intelligence through lighter multi-agent technology at the shop floor level. These issues

  • 4.
    Bjelkemyr, Marcus
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolutionary Theories in Manufacturing: Inspiration from Biology, Society, and Evolutionary Computing2010In: 10th IFAC Workshop on Intelligent Manufacturing Systems, IMS'10, 2010, p. 210-215Conference paper (Refereed)
    Abstract [en]

    Darwin's evolutionary theory of natural selection has had a strong impact on both science and culture, and has over the last decades become a popular inspiration in engineering sciences. Both the wide range of scientific areas where evolutionary theory is applied, and the simplistic metaphors used to explain evolution in schools and non-scientific situations have caused confusion of how key evolutionary concepts should be understood. In this paper, the cornerstones in biological and social evolutionary theory are identified and addressed from an engineering point of view. Previous efforts to apply evolutionary theories within engineering are then addressed and related to the needs and opportunities within manufacturing and assembly.

  • 5.
    Dias-Ferreira, Joao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, L.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors2016In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, p. 1-24Article in journal (Refereed)
    Abstract [en]

    Biological collective systems have been an important source of inspiration for the design of production systems, due to their intrinsic characteristics. In this sense, several high level engineering design principles have been distilled and proposed on a wide number of reference system architectures for production systems. However, the application of bio-inspired concepts is often lost due to design and implementation choices or are simply used as heuristic approaches that solve specific hard optimization problems. This paper proposes a bio-inspired reference architecture for production systems, focused on highly dynamic environments, denominated BIO-inspired Self-Organising Architecture for Manufacturing (BIOSOARM). BIOSOARM aims to strictly adhere to bio-inspired principles. For this purpose, both shopfloor components and product parts are individualized and extended into the virtual environment as fully decoupled autonomous entities, where they interact and cooperate towards the emergence of a self-organising behaviour that leads to the emergence of the necessary production flows. BIOSOARM therefore introduces a fundamentally novel approach to production that decouples the system’s operation from eventual changes, uncertainty or even critical failures, while simultaneously ensures the performance levels and simplifies the deployment and reconfiguration procedures. BIOSOARM was tested into both flow-line and “job shop”-like scenarios to prove its applicability, robustness and performance, both under normal and highly dynamic conditions.

  • 6.
    Dias-Ferreira, Joao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, Luis
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Characterization of an Agile Bio-inspired Shop-Floor2014In: 2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2014, p. 404-410Conference paper (Refereed)
    Abstract [en]

    Sustainability is currently one of the biggest challenges and drivers of manufacturing industry. With traditional automation approaches becoming evermore inadequate to support sustainable mass customized production, the research focus is moving towards agile systems that enact companies with the ability to quickly reconfigure their shop-floors by seamlessly deploying or removing modules. Such systems are envisioned as key for attaining a profitable and sustainable industrial development. In this sense, this paper attempts to characterize an innovative approach that relies on bio-inspired concepts as the main control mechanism, in order to foster sustainability by attaining the necessary shop-floor agility. Furthermore an experimental setup is presented and the results are analysed, in order to understand the influence and impact of the main properties of the approach towards the system performance.

  • 7.
    Ferreira, João
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, Luis
    Universidade Nova de Lisboa.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, José
    Visualization tool to support multi-agent mechatronic based systems2012In: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, IEEE , 2012, p. 4372-4377Conference paper (Refereed)
    Abstract [en]

    There has been an increasing interest from industry in distributed architectures since they promote a plug-and-produce and robust environment, where adaptability and fault tolerance are native. Much research has been conducted in this field mainly supported by multi-agent and service oriented technologies. Nevertheless the retrieval and visualization of information in distributed systems is a relatively unexplored area. Although the dynamic nature of the multi-agent systems allows gathering information in a prompt manner, doing so might affect the performance of the mechatronic agents. In this sense, the present paper details the architecture of a visualization tool that introduces a reliable but non-invasive approach to retrieve data from distributed platforms as well as a new way to visualize and interpret the information gathered from mechatronic based systems.

  • 8.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Emerging Behavior as Driver for the Sustainability of a Modular, "Skills-Centric" Production System2011In: IEEE AFRICON 2011, IEEE , 2011Conference paper (Refereed)
    Abstract [en]

    The current main challenge for the future production system lies in the correct integration of the issues related to sustainability and to agility. The "Evolvable Paradigm" addresses this concern with a new way of engineering the whole production system. The concept of Skill is declined as common denominator between the definitions of manufacturing process and manufacturing equipment. Each production module holds some of the skills that compose the process definition and it is endowed with the necessary intelligence to come together with the other modules in an organized society. This work introduces the approach adopted in the IDEAS project (Instantly Deployable Evolvable Assembly System) to cope with the above mentioned requirement through the presented paradigm. While fully featured and described IDEAS mechatronic architecture allows rapid reconfiguration of the system, the issue of sustainability is targeted by the open definition of the concepts of skill and skills interaction. The result of skill aggregation is hereby called Emergent Behavior and in the proposed model it can be seen as the main driver for the sustainable use of the system.

  • 9.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dias Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, José
    Characterization of the Student Perception of Flexibility in the Manufacturing Domain: Highlighting the Patterns of Effective Learning2014In: Proceeding of: 8th International Technology, Education and Development Conference - INTED 2014, At Valencia, Spain, Valencia, 2014Conference paper (Refereed)
    Abstract [en]

    The word “flexibility” is often abused and not univocally understood within the manufacturing science domain and in particular in the context of industrial automation. Since the raise of industrial robots in the 1960’, different researchers and practitioners have been using such a common word with different meanings. This has generated a very articulated concept, spanning from capability of a system to increase the production volumes to ability to handle product mix variation. Several authors have tried to count the current meanings of such a word in manufacturing and someone arrived to more than 50!. In spite of this fuzziness in both the definition and scope, the concept of flexibility remain one of the cornerstones in the curriculum of industrial and production engineers, and it appears in many courses along the bachelor and master studies. The apparent paradox that higher education institutions have to teach things that are not even well-defined and agreed in the scientific world is, in fact, quite a usual practice. In order to clarify what is, or should be, learnt this work analyzes first the established literature to extract a “working” characterization of the flexibility concept. The resulting understanding is then used to represent the experts’ perception of the topic which in turn is used as ideal level of understanding that a student should achieve her/himself when studying such a concept.   

    The second phase of the work aims at disclosing and classifying the multifaceted perceptions of flexibility that two different classes of industrial engineering students have after two courses in which the focal concept of manufacturing flexibility has been presented using two different approaches. The research is based on a phenomenographic analysis of a series of well-designed interviews to the students. The collected data have consequently been structured in a finite set of clusters according of: (1) the level of understanding of the key concept (as expressed in the Bloom’s taxonomy) and (2) the nature of the shown knowledge (as presented in the SOLO taxonomy). The classification is then the basis for defining an epistemological sound approach to develop suitable teaching and learning activities to ensure optimal acquisition of the concept of flexibility.

  • 10.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dias-Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, J.
    Characterisation of the student perception of the concept of flexibility in the manufacturing domain: Highlighting the patterns of effective learning2014In: Global Journal of Engineering Education, ISSN 1328-3154, Vol. 16, no 2, p. 80-87Article in journal (Refereed)
    Abstract [en]

    This work introduces a phenomenographic analysis of the concept of flexibility in the domain of production science. Flexibility is a cornerstone in the education of industrial and production engineers; however, it still appears as a broadly and even inconsistently defined construct. In order to clarify what is or should be learnt, this work analyses first the established literature to extract a working characterisation of the flexibility concept. The resulting understanding is then used to represent the experts' perception of the topic, which in turn is used as the ideal level of understanding that a student should achieve herself/himself when studying such a concept. The second phase of the work aims at disclosing and classifying the multifaceted perceptions of flexibility that two classes of industrial engineering students have after two courses in which the focal concept of manufacturing flexibility has been presented using two different approaches. The research is based on a survey completed by students. The data collected have consequently been structured into a finite set of clusters according to: a) the level of understanding of the key concept; and b) the nature of the shown knowledge. The classification is, then, the basis for defining an epistemologically sound approach to develop suitable teaching and learning activities to ensure optimal acquisition of the concept of flexibility.

  • 11.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Identification of the value proposition of an evolvable production system2013In: Proceedings of the 9th International Symposium on Mechatronics and its Applications (ISMA13), IEEE , 2013, p. 6547366-Conference paper (Refereed)
    Abstract [en]

    Current production paradigms and related biases concerning automation are an obstacle for the technological development and subsequent application of intelligent assembly solutions such as the automation based on the evolvable paradigm. A deeper understanding of the potential behind such technology is a fundamental step towards a proficient industrial embodiment. The concept of Value Proposition can be used as a holistic analytical tool able to support a full characterization of the appeal that such technology has on the assembly automation market. The two dimensional bottom-up approach proposed in this work allows the identification and description of six potential value offerings connected with an Evolvable Assembly system, which in turn pave the way to more efficient business models.

  • 12.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    Barata, Jose
    Evolvable production systems:: Mechatronic Production Equipment with Evolutionary Control2010In: IFIP Advances in Information and Communication Technology / [ed] CamarinhaMatos LM; Pereira P; Ribeiro L, 2010, Vol. 314, p. 133-142Conference paper (Refereed)
    Abstract [en]

    Current major roadmapping efforts have all clearly underlined that true industrial sustainability will require far higher levels of systems' autonomy and adaptability. In accordance with these recommendations, the Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms. Since its inception in 2002 as a next generation of production systems, the concept is being further developed and tested to emerge as a production system paradigm. Characteristically, Evolvable systems have distributed control, and are composed of intelligent modules with embedded control. A concerted effort is being exerted through European research projects in collaboration with manufacturers, technology/equipment suppliers, and universities. After introducing EPS, this paper presents current developments and applications.

  • 13.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Reconfiguration Methodology to improve the agility and sustainability of Plug and Produce Systems2016Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The emergence of globalisation, market turbulence and sustainability requirements is challenging production companies to devise new strategies to offer large product diversity, keep low inventories, and timely produce small batches of customised and personalised products. Agile shop-floors that can be promptly deployed and re-configured with minimum integration and programming efforts are perceived as a promising strategy to tackle this problem.

    This has led to the advent of the Plug and Produce (P&P) concept, where different production modules can be plugged in the system and start working autonomously without ceasing production. P&P systems support structure and functionality transformations through plug/unplug of modules, and dynamic production and fault-tolerance through self-organization. This will naturally increase its complexity in design, operation and exact performance predictability, and therefore it sets the need for the definition of methodologies and decision supporting tools that can help system designers and production managers deciding which layouts and configurations could accommodate constantly changing production requirements (i.e. different product plans and volumes). This thesis focuses exactly on those points, aiming at providing a reconfiguration methodology that can contribute to the increase of agility and sustainability of P&P systems.

    This methodology enables the systematic generation and assessment of reconfiguration alternatives for P&P systems. For this purpose, it uses graph theory and a set of metrics to assess the potential performance of different reconfiguration alternatives. The experimental tests provided present evidence that the use of the proposed methodology can help designers selecting a suitable reconfiguration alternative whenever new product requirements are posed. The use of this methodology can therefore increase the agility and sustainability of P&P systems and potentially contribute to their industrial deployment.

  • 14.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    System Evaluation and Learning in Evolvable Production Systems: Preliminary considerations and research directions2012Licentiate thesis, monograph (Other academic)
    Abstract [en]

    Dynamicity and unpredictability related to markets is strongly hardening companies’ mission to follow them and satisfy customer needs mainly due to the lack of adequate engineering mechanisms. These effects are felt more intensively in markets where low volumes and high customisation are needed since this requires constant changes in systems that can range from simple setups to total line re-configuration and re-programing. State of the Art Industrial technology has historically been driven to achieve very efficient and flexible production lines for pre-thought problems; however this technology doesn’t satisfy the needs faced by current production requirements where adaptability and responsiveness are off the essence.

    The last decade witnessed the advent of Evolvable Production Systems (EPS) and other modern paradigms that offer promising approaches to substitute obsolete production strategies. EPS enhances system re-configurability using process-oriented modularity and multi-agent based distributed control endowing the system with units that are autonomous, self-organizing and functionality-oriented. The aggregation of these independent units will then form a system that with a well-defined system architecture and interactions rules can collaborate to complete production plans and react to unpredictable events without re-programing needs.

    The complexity associated with combinatorial possibilities of forming a system based in such premises raises the need to study how such system performance can be evaluated and how machine learning can be used to discover best system configurations for specific cases. This thesis goal is to enlighten the relation between EPS characteristics, Evaluation and Learning building the foundations for the achievement of Evaluation and Learning mechanisms that can contribute to better system design and configuration to improve system performance and autonomy, and contribute to a more economical solution.

  • 15.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolvable Production Systems: Recent Developments and Research Directions2012Conference paper (Refereed)
  • 16.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Barata, José
    Uninova Research Institute.
    Context and Implications of Learning in Evolvable Production Systems2011In: IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, New York: IEEE , 2011, p. 2740-2745Conference paper (Refereed)
    Abstract [en]

    More than ever the impact of market turbulence, high product customization and sustainability can be perceived through the increase of dynamics and complexity of manufacturing and business environments. Modular and distributed control structures are nowadays a consensual way, common to the majority of modern paradigms, to deal with unpredictability and volatility of markets. With modern paradigms aiming on adaptability, evolution and reconfiguration as a way to deal with this reality, learning mechanism have become very important to achieve such requirements. This paper presents an exploratory discussion on the topic of agent-based learning applied in a modern production paradigm such as Evolvable Production Systems (EPS).

  • 17.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, L.
    Barata, J.
    Prospection of methods to support design and configuration of self-organizing mechatronic systems2013In: Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, IEEE , 2013, p. 3854-3861Conference paper (Refereed)
    Abstract [en]

    There is a substantial difference between traditional industrial systems and systems resultant from emerging production paradigms in terms of both conceptualization and implementation. Backwards compatibility is fundamental in assessing the potential transitional period whereby legacy technology will operate under the conceptual framework of modern approaches. However, before this point can be reached it is necessary to further investigate, assess and quantify the behavior of modern approaches that increasingly rely in self-organization. This article's goal is to give an overview of the behavioral assessment problematic, in the context of self-organizing mechatronic systems, and provide a discussion on opportunities to explore rule-extraction techniques to better understand the influence of design and configuration on the overall system behavior. Although the discussion widely applies to almost all emerging production paradigms the Evolvable Production System paradigm is used as case to bring context and clarity to the discussion.

  • 18.
    Neves, Pedro
    et al.
    New University of Lisbon, Portugal .
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Evolvable Production Systems: Approach towards modern production systems2009In: PROCEEDINGS OF THE 6TH CIRP-SPONSORED INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY / [ed] Huang, GQ, Mak, KL and Maropoulos, PG, Springer Berlin/Heidelberg, 2009, p. 813-822Conference paper (Refereed)
    Abstract [en]

    To face current socio-economic adverse conditions enterprises must increase their efficiency and evolve to the requirements of customization and sustainability. Modern production systems need to deal with instability of markets and resource scarcity regarding an economical, ecological and social concern. The Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms that may endow European assembly companies to fulfil these demands. EPS seeks highly adaptable control and mechanical systems enhancing re-usability and interoperability of modules, extending their life cycle and enabling short deployment times at shop floor level. Only with very agile and adaptable systems will be possible to enhance material re-usability, reduce energy consumption and give a quick response to unforeseen changed conditions or new business opportunities. This paper will present Evolvable Production Systems advantages in order to achieve such results towards more ecological and economically suitable production systems.

  • 19.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, L.
    Dias-Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Maruo
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, J.
    Data-mining approach to support layout configuration decision-making in Evolvable Production Systems2014In: Conference Proceedings / IEEE International Conference on Systems, Man and Cybernetics, ISSN 1062-922X, Vol. 2014-January, no January, p. 3649-3656Article in journal (Refereed)
    Abstract [en]

    Computational and communication capabilities are increasingly being used in all devices. In the production context this leads to the generation of massive amounts of data that are rarely proficuously used. More particularly the application of data-mining techniques to infer knowledge from systems’ operation to improve its design decisions remains fairly unexplored. This article presents an approach to extract system design and configuration rules from Evolvable Production Systems. Furthermore it provides the empirical results from two test-cases that support the hypothesis that a simulation-data-mining approach can help reducing the complexity of the work carried by system designers and production managers. © 2014 IEEE.

  • 20.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, Luis
    Dias-Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, Jose
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Exploring reconfiguration alternatives in Self-Organising Evolvable Production Systems through Simulation2014In: 2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2014, p. 511-518Conference paper (Refereed)
    Abstract [en]

    Simulation has played an important role along the years to predict systems' behaviour before their deployment. In the case of self-organising mechatronic systems simulation tools can help researchers and practitioners understanding the full potential of the solution as well as its underlying limitations. Self-organising mechatronic systems have passed a feasibility study and presented promising results. However they are rarely explored in industry in part due to the lack of methods to support their design and configuration and the difficulty to predict the systems' behaviour before their deployment. Given the cost and development time associated with building self-organising mechatronic systems this research problem has been left quite unattended. In this article we present a tool that enables the creation and simulation of Evolvable Production Systems and their self-organising behaviour. The generated operational results can posteriorly be used to analyse the suitability of different design and configuration alternatives for different product types and volumes.

  • 21.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, Luis
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, J
    Universidade Nova de Lisboa.
    Performance Assessment in Self-organising Mechatronic Systems: A First Step towards Understanding the Topology Influence in Complex Behaviours2014In: IFIP AICT, Technological Innovation for Collective Awareness Systems / [ed] L. Camarinha-Matos, 2014, p. -84Conference paper (Refereed)
    Abstract [en]

    The research and development of self-organising mechatronic systems has been a hot topic in the past 10 years which conducted to very promising results in the close past. The proof of concept attained in IDEAS project [1] that plug&produce can be achieved in these systems opens up new research horizons on the topics of system design, configuration and performance evaluation. These topics need to consider that the systems are no longer static prototypes but instead several distributed components that can be added and removed in runtime. The distribution of modules in the system and their inherent connections will then potentially affect the system's global behaviour. Hence it is vital to understand the impact on performance as the system endures changes that affect its topology. This article presents an exploratory test case that shows that as a system evolves (and the nature of the network of its components changes) the performance of the system is necessarily affected in a specific direction. This performance landscape is necessarily complex and very likely nonlinear. Simulation plays therefore an important role in the study of these systems as a mean to generate data that can be later on used to generate macro level knowledge that may act as a guideline to improve both design and configuration.

  • 22.
    Onori, Mauro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Centres, Design and Management of Manufacturing Systems, DMMS.
    Hofmann, Andreas
    DEALING WITH THE UNPREDICTABLE: AN EVOLVABLE PRODUCTION CELL2011In: International Symposium on Assembly & Manufacturing / [ed] Prof. Reijo Tuokko, IEEE , 2011Conference paper (Refereed)
    Abstract [en]

    The work presented in this paper intends to clarify how the Evolvable Production Systems (EPS) paradigm has been used to develop a robotic assembly cell based on a fully reconfigurable robot. The work includes some detail of the multiagent architecture based on coalitions of Production modules and how this was successfully used to implement the control architecture for EPS. Finally, it will introduce the issue of unprdictable behaviour as an approach to dealing with dnamic conditions, and how this may be addressed.

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