71,213 research outputs found

    Active learning based laboratory towards engineering education 4.0

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    Universities have a relevant and essential key role to ensure knowledge and development of competencies in the current fourth industrial revolution called Industry 4.0. The Industry 4.0 promotes a set of digital technologies to allow the convergence between the information technology and the operation technology towards smarter factories. Under such new framework, multiple initiatives are being carried out worldwide as response of such evolution, particularly, from the engineering education point of view. In this regard, this paper introduces the initiative that is being carried out at the Technical University of Catalonia, Spain, called Industry 4.0 Technologies Laboratory, I4Tech Lab. The I4Tech laboratory represents a technological environment for the academic, research and industrial promotion of related technologies. First, in this work, some of the main aspects considered in the definition of the so called engineering education 4.0 are discussed. Next, the proposed laboratory architecture, objectives as well as considered technologies are explained. Finally, the basis of the proposed academic method supported by an active learning approach is presented.Postprint (published version

    Modeling of system knowledge for efficient agile manufacturing : tool evaluation, selection and implementation scenario in SMEs

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    In the manufacturing world, knowledge is fundamental in order to achieve effective and efficient real time decision making. In order to make manufacturing system knowledge available to the decision maker it has to be first captured and then modelled. Therefore tools that provide a suitable means for capturing and representation of manufacturing system knowledge are required in several types of industrial sectors and types of company’s (large, SME). A literature review about best practice for capturing requirements for simulation development and system knowledge modeling has been conducted. The aim of this study was to select the best tool for manufacturing system knowledge modelling in an open-source environment. In order to select this tool, different criteria were selected, based on which several tools were analyzed and rated. An exemplary use case was then developed using the selected tool, Systems Modeling Language (SysML). Therefore, the best practice has been studied, evaluated, selected and then applied to two industrial use cases by the use of a selected opens source tool.peer-reviewe

    Open Innovations and Living Labs: Promises or Challenges to Regional Renewal

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    The paper brings to the foreground modes and strategies of organising purposeful action that may be conductive to local and regional actors’ successful coping in the more and more competitive environment. The paper is pragmatist by its approach in a sense that it emphasises preconditions and possibilities for making ideas work. However, to do this is a difficult task. In the maze of multifaceted information flows and revolutionary technologies for reaching them enterprises and public actors need to find and construct better structured information that really helps them to operate. The paper introduces two sets of case activities that build on open innovation and living lab approaches in their attempts to make the boundaries between organisations and their environment more permeable. Its findings support the structuralist idea that spatial attributes matter more than as a mere venue, platform, or even container of social action. The venues studied in the paper are unique: one of the oldest still remaining factory buildings in the innermost core of the city of Tampere and a re-used loghouse in a peri-urban landscape outside the city. They both serve now as true exploratory spaces with no functional or institutional lock-ins stemming from them to bond their present-day users

    High-end fashion manufacturing in the UK - product, process and vision: Recommendations for a Designer and Fashion Manufacturer Alliance and a Designer Innovation and Sampling Centre

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    The Centre for Fashion Enterprise (CFE) was commissioned by the Department of Culture, Media and Sport (DCMS) to undertake a feasibility study to explore fully the market need for a new high-end production hub. This was in direct response to the need highlighted in the DCMS report, Creative Britain - New Talents For The New Economy, published in 2008. This study has confirmed that there is a need. However the need is for a sampling and innovation facility rather than a production hub. Designers reported a shortage of high quality sampling capacity in the UK, as well as difficulties in getting small quantities produced. Additionally, they do not know where or how to source appropriate manufacturing in the UK, Europe or globally, at the quality the market requires

    Apple’s Unkept Promises: Investigation of Three Pegatron Group Factories Supplying to Apple

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    This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.CLW_2013_Report_Apple_Unkept_Promises.pdf: 531 downloads, before Oct. 1, 2020

    Repurposing literacy: the uses of Richard Hoggart for creative education

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    After 50 years, what are the implications of Uses of Literacy for educational modernisation, in the light of subsequent changes from 'read only' literacy to 'read-write' uses of multimedia? This chapter argues that a broad extension of popular literacy via consumer-created digital content offers not only emancipationist potential in line with Hoggart's own project, but also economic benefits via the dynamics of creative innovation. Multimedia 'popular entertainments' pose a challenge to formal education, but not in the way that Hoggart feared. Instead of producing 'tamed helots,' commercial culture may be outpacing formal schooling in promoting creative digital literacy via entrepreneurial and distributed learning. It may indeed be that those in need of a creative make-over are not teenagers but teachers

    Komponenttien luokittelu ja parhaat kÀytÀnnöt tuotantosimulaation mallinnuksessa

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    Production simulation software plays a major role in validation, optimization and illustration of production systems. Operation of production simulation is generally based on components and their interaction. Components typically represent factory floor devices, but in addition, there can be components to provide visualization, statistics, control or other input to simulation. The demand for having high-quality, easy-to-use and compatible components emphasizes the importance of component modelling. The objectives of this thesis were to develop component classes based on industrial devices, to standardize component modelling solutions and best practices in component modelling. Other objectives were to identify and analyse future prospects of production simulation. This focuses on the concept of digital twin, which could be described as reflective real-time simulation model from the physical system. In addition, focus is also set on formal modelling languages. The outcome of this thesis presents component classes and best practices in component modelling. In component classification, the focus was set to development of generic components, which can be controlled with signal-based logic. This enables components from the software to be externally controlled. In addition, automatic model creation tool wizard, is implemented to instantly generate components based on the defined component classes. Best practices were based on the selected modelling fields that are most relevant for general use. In the development of best practices, interviewing method was utilized to receive input from simulation experts.Tuotantosimulaatio on tÀrkeÀssÀ osassa tuotantojÀrjestelmien validoinnissa, optimoinnissa ja visualisoinnissa. Tuotantosimulaation toiminta perustuu yleisesti komponentteihin ja niiden vÀliseen vuorovaikutukseen. Komponentit esittÀvÀt tyypillisesti tehtaasta löytyviÀ laitteita ja esineitÀ, mutta komponentteja voidaan kÀyttÀÀ myös visualisointiin, statistiikan kerÀÀmiseen, jÀrjestelmÀn ohjaukseen tai muuhun tarpeeseen simuloinnissa. TÀmÀn diplomityön tavoitteita oli kehittÀÀ komponenttiluokkia teollisuudesta valittujen laitteiden perusteella, mikÀ mahdollistaa mallinnusratkaisujen standardoinnin. Sen lisÀksi tavoitteena oli kehittÀÀ parhaat kÀytÀnnöt komponenttimallinnukseen. Muita tavoitteita oli tunnistaa ja analysoida tulevaisuuden nÀkymiÀ tuotantosimulaatiolle. TÀmÀ keskittyi pÀÀosin digitaaliseen kaksoseen, jota voidaan kuvata reaaliaikaisesti peilautuvaksi simulaatiomalliksi todellisesta jÀrjestelmÀstÀ. TÀmÀn lisÀksi työssÀ keskityttiin formaaleihin mallinnuskieliin. Diplomityön lopputulos esittÀÀ kehitetyt komponenttiluokat ja parhaat kÀytÀnnöt komponenttimallinnuksessa. Komponenttien luokittelussa keskityttiin kehittÀmÀÀn geneerisiÀ komponentteja, joita voidaan ohjata signaalipohjaisilla komennoilla. TÀmÀ mahdollistaa komponentin ohjaamisen myös simulointiohjelman ulkopuolelta. TÀmÀn lisÀksi automaattista komponenttien luomistyökalua kÀytettiin luokiteltujen komponenttien luomisessa. Parhaat kÀytÀnnöt komponenttimallinnuksessa pohjautuivat mallinnuksen oleellisimpiin osa-alueisiin tavanomaisissa mallinnustilanteissa. Parhaiden kÀytÀntöjen kehityksessÀ haastateltiin simulointiammattilaisia, joiden mielipiteistÀ muodostettiin perusta kÀytÀntöjen kehitykselle

    An Ontological Approach to Representing the Product Life Cycle

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    The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and this is true both within and across organizations. In this paper, we describe our work to address this problem through the creation of a suite of modular ontologies representing the product life cycle and its successive phases, from design to end of life. We call this suite the Product Life Cycle (PLC) Ontologies. The suite extends proximately from The Common Core Ontologies (CCO) used widely in defense and intelligence circles, and ultimately from the Basic Formal Ontology (BFO), which serves as top level ontology for the CCO and for some 300 further ontologies. The PLC Ontologies were developed together, but they have been factored to cover particular domains such as design, manufacturing processes, and tools. We argue that these ontologies, when used together with standard public domain alignment and browsing tools created within the context of the Semantic Web, may offer a low-cost approach to solving increasingly costly problems of data management in the manufacturing industry

    Technological advantage and market loss: Siemens and the X-ray machine business in Japan (1900–1960)

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    This paper focuses on the involvement of Siemens on the market for radiology equipment in Japan between 1900 and 1960 from a business history perspective. It explores why the German multinational was unable to keep its dominant position on the Japanese market in the interwar years, despite its technological competitiveness. In particular, it examines the strategic choices made by the firm (export, licensing, direct investment) in relation to the changing economic and technological environment, highlighting the importance, for foreign multinationals, of working together with national trading firms involved in the distribution of drugs and products for doctors, as the Japanese medical market was already well structured when the country opened up to the West. Four phases have been identified. At first, before World War I, German manufacturers of X-ray machines, especially Siemens, enjoyed a virtual monopoly in Japan and favored an export strategy. The political and technological shifts that occurred during the war (interruption of trade with Germany, development of the Coolidge X-ray tube by General Electric) led to a more competitive market in Japan. Siemens reorganized its involvement in this business via a contract signed with a domestic medical goods trade company, Goto Fuundo (1926). Yet this proved insufficient to overcome the competition, and Siemens finally decided to relocate some of its production facilities for X-ray machines in Japan by entering into a joint venture with Goto (1932). Relations between Siemens and Goto were severed by the war, and Goto tried until the 1950s to go it alone in this field but failed due to a lack of organizational capability. As for Siemens, it reverted to its export strategy approach, re-entering the market in the 1950s.Siemens, Goto Fuundo, X-ray machines, medical market
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