| 11. |
- Maffei, Antonio, 1982-, et al.
(författare)
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Characterization of the Student Perception of Flexibility in the Manufacturing Domain : Highlighting the Patterns of Effective Learning
- 2014
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Ingår i: Proceeding of: 8th International Technology, Education and Development Conference - INTED 2014, At Valencia, Spain. - Valencia.
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 12. |
- Maffei, Antonio, 1982-, et al.
(författare)
-
CHARACTERIZATION OF THE STUDENT PERCEPTION OF THE CONCEPT OF FLEXIBILITY IN THE MANUFACTURING DOMAIN : HIGHLIGHTING THE PATTERNS OF EFFECTIVE LEARNING
- 2014
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Ingår i: INTED2014. - : IATED-INT ASSOC TECHNOLOGY EDUCATION A& DEVELOPMENT. - 9788461684120 ; , s. 4759-4767
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Konferensbidrag (refereegranskat)abstract
- 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 [1]!. 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 [2]. 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 [3]) and (2) the nature of the shown knowledge (as presented in the SOLO taxonomy [4]). 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.
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| 13. |
- Neves, Pedro, et al.
(författare)
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Data-mining approach to support layout configuration decision-making in Evolvable Production Systems
- 2014
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Ingår i: Conference Proceedings / IEEE International Conference on Systems, Man and Cybernetics. - : IEEE. - 1062-922X. ; 2014-January:January, s. 3649-3656
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 14. |
- Neves, Pedro, et al.
(författare)
-
Data-mining approach to support layout configuration decision-making in Evolvable Production Systems
- 2014
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Ingår i: Proceedings 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) October 5-8, 2014, San Diego, CA, USA. - : IEEE conference proceedings. - 9781479938407 ; , s. 3649-3656
-
Konferensbidrag (refereegranskat)abstract
- 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.
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| 15. |
- Neves, Pedro, et al.
(författare)
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Exploring reconfiguration alternatives in Self-Organising Evolvable Production Systems through Simulation
- 2014
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Ingår i: 2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN). - : IEEE conference proceedings. - 9781479949052 ; , s. 511-518
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 16. |
- Ribeiro, Luis, et al.
(författare)
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A network inference tool for JADE-based systems
- 2014
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Ingår i: Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014. - : IEEE conference proceedings. - 9781479949052 ; , s. 398-403
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Konferensbidrag (refereegranskat)abstract
- This article describes the first version of a tool designed to infer the network characteristics of JADE-based multiagent systems. The rationale behind the tool is that systems in general and multiagent system in particular, often have some hidden dynamics that contribute to the emergence of desired and undesired characteristics. Traditional sniffing tools simply display the message exchange. The presented tool goes therefore beyond simple message sniffing and infers the agents' network based on the ongoing interactions and codifies it a format suitable for further processing in specialized network analysis tools. In particular the prosped tool identifies the most frequently used communication links and the messages associated with them. To demonstrate the behavior of the tool an exploratory system based on the Evolvable Production System paradigm is discussed and analyzed.
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| 17. |
- Soffitta, Paolo, et al.
(författare)
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XIPE : the X-ray imaging polarimetry explorer
- 2013
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Ingår i: Experimental astronomy. - : Springer Science and Business Media LLC. - 0922-6435 .- 1572-9508. ; 36:3, s. 523-567
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Tidskriftsartikel (refereegranskat)abstract
- X-ray polarimetry, sometimes alone, and sometimes coupled to spectral and temporal variability measurements and to imaging, allows a wealth of physical phenomena in astrophysics to be studied. X-ray polarimetry investigates the acceleration process, for example, including those typical of magnetic reconnection in solar flares, but also emission in the strong magnetic fields of neutron stars and white dwarfs. It detects scattering in asymmetric structures such as accretion disks and columns, and in the so-called molecular torus and ionization cones. In addition, it allows fundamental physics in regimes of gravity and of magnetic field intensity not accessible to experiments on the Earth to be probed. Finally, models that describe fundamental interactions (e.g. quantum gravity and the extension of the Standard Model) can be tested. We describe in this paper the X-ray Imaging Polarimetry Explorer (XIPE), proposed in June 2012 to the first ESA call for a small mission with a launch in 2017. The proposal was, unfortunately, not selected. To be compliant with this schedule, we designed the payload mostly with existing items. The XIPE proposal takes advantage of the completed phase A of POLARIX for an ASI small mission program that was cancelled, but is different in many aspects: the detectors, the presence of a solar flare polarimeter and photometer and the use of a light platform derived by a mass production for a cluster of satellites. XIPE is composed of two out of the three existing JET-X telescopes with two Gas Pixel Detectors (GPD) filled with a He-DME mixture at their focus. Two additional GPDs filled with a 3-bar Ar-DME mixture always face the Sun to detect polarization from solar flares. The Minimum Detectable Polarization of a 1 mCrab source reaches 14 % in the 2-10 keV band in 10(5) s for pointed observations, and 0.6 % for an X10 class solar flare in the 15-35 keV energy band. The imaging capability is 24 arcsec Half Energy Width (HEW) in a Field of View of 14.7 arcmin x 14.7 arcmin. The spectral resolution is 20 % at 6 keV and the time resolution is 8 mu s. The imaging capabilities of the JET-X optics and of the GPD have been demonstrated by a recent calibration campaign at PANTER X-ray test facility of the Max-Planck-Institut fur extraterrestrische Physik (MPE, Germany). XIPE takes advantage of a low-earth equatorial orbit with Malindi as down-link station and of a Mission Operation Center (MOC) at INPE (Brazil). The data policy is organized with a Core Program that comprises three months of Science Verification Phase and 25 % of net observing time in the following 2 years. A competitive Guest Observer program covers the remaining 75 % of the net observing time.
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