Wikis supporting PLM and Technical Documentation

Over the last years, Wikis have arisen as powerful tools for collaborative documentation on the Internet. The Encyclopaedia Wikipedia has become a reference, and the power of community editing in a Wiki allows for capture of knowledge from contributors all over the world. Use of a Wiki for Technical Documentation, along with hyper-links to other data sources such as a Product Lifecycle Management (PLM) system, provides a very effective collaboration tool as information can be easily feed into the system throughout the project life-cycle. In particular for software- and hardware projects with rapidly evolving documentation, the Wiki approach has proved to be successful. Certain Wiki implementations, such as TWiki, are project-oriented and include functionality such as automatic page revisioning. This paper addresses the use of TWiki to document hardware and software projects at CERN, from the requirements and brain-storming phase to end-product documentation. 2 examples are covered: large scale engineering for the ATLAS Experiment, and a network management software project

CMS in Public Administration: A Comparative Analysis

There is a wide variety of content management systems (CMS) available on the market, each with its characteristics, advantages and disadvantages, but the open source, such as Joomla, WordPress and Drupal are the ones who stand out, duo to characteristics such as: ease of use, possibility of customization, support, security, adaptability and amount of resources available (modules, components and plugins). These solutions are extremely relevant for public organizations, bringing citizens and businesses closer to their governments, by providing a more direct and intuitive access to government information and services (Fang, 2002). To achieve the benefits of its implementation, it is necessary an analysis of the solutions available on the market and which ones are best suited to certain management objectives. Through a comparison of data and information collected, it is highlighted the advantages and disadvantages of each of the three CMS mentioned, especially which one is most indicated for a specific context of application and project typology in public administration, using for these rankings of use and popularity on platforms such as W3Techs and BuiltWith, as well as a set of supporting documentation.info:eu-repo/semantics/publishedVersio

Full Paper: Development Of Digital Competences of Business Students Through E-Business Learning Based on CMS Wordpress

Digital competences play an important role in the information society. According to a study conducted at the Bydgoszcz University of Science and Technology, however, many students are unable to use many online applications and their abilities are largely limited to social media. In an attempt to broaden the digital competences of economics students, an innovative curriculum has been developed to teach them how to build websites on the WordPress CMS along with an e-shop. This article presents the results of research conducted at 2 Polish universities – the public Bydgoszcz University of Science and Technology and the private WSB University in Warsaw – over the last 4 years. The results of the study indicate that such new skills will allow students to enter the job market (work in CMS-based website administration jobs) or start their own business faster and better (by, for example, reducing the initial cost of setting up a website) and should be further developed. The graduates, who were also included in the additional survey, in several cases confirm that they are able to use their newly acquired competences, which have helped them in their professional and private lives

Applying PLCS to EDMS/MTF at the European Organization for Nuclear Research

Estágio realizado no CERN e orientado Eva Sanchez-Corral MenaTese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 200

Process and knowledge management in a collaborative maintenance planning system for high value machine tools

Product manufacturers are extending their responsibilities in the whole life cycle by providing services to their customers. In recent years, product service system has become an important research topic to address the special requirements in the new service driven business model. High value machine tools in modern manufacturing factories are special products: they are regarded as ‘products’ from maintenance point of view, and they also manufacture other products. In the new business model, the quality and behavior of a machine tool not only affect the quality of the parts it manufactures, but also affect the profits of the machine tool’s manufacturer. However, in the research area of product service systems and related computerized maintenance systems, there is a lack of investigation into the special nature, problems and requirements of high value machine tool maintenance, which are very important in modern digitized manufacturing systems. Therefore, this research investigated the various relationships between different stakeholders in the machine tools’ lifecycle, focusing on knowledge management, communication and the decision-making processes. This research also explored the potential application of advanced content management systems, which are widely implemented in the financial, business and government organizations, in the manufacturing engineering domain which has been dominated by traditional engineering information systems. A prototype collaborative maintenance planning system is proposed, developed and evaluated using an example machine tool, which indicated that significant improvement could be achieved and the content management technology has a number of advantages over the traditional engineering information systems, such as computer aided engineering, product data and lifecycle management, and enterprise resource planning systems, in managing machine tool maintenance and service information including dynamic and unstructured knowledge

Big data analytics towards predictive maintenance at the INFN-CNAF computing centre

La Fisica delle Alte Energie (HEP) è da lungo tra i precursori nel gestire e processare enormi dataset scientifici e nell'operare alcuni tra i più grandi data centre per applicazioni scientifiche. HEP ha sviluppato una griglia computazionale (Grid) per il calcolo al Large Hadron Collider (LHC) del CERN di Ginevra, che attualmente coordina giornalmente le operazioni di calcolo su oltre 800k processori in 170 centri di calcolo e gestendo mezzo Exabyte di dati su disco distribuito in 5 continenti. Nelle prossime fasi di LHC, soprattutto in vista di Run-4, il quantitativo di dati gestiti dai centri di calcolo aumenterà notevolmente. In questo contesto, la HEP Software Foundation ha redatto un Community White Paper (CWP) che indica il percorso da seguire nell'evoluzione del software moderno e dei modelli di calcolo in preparazione alla fase cosiddetta di High Luminosity di LHC. Questo lavoro ha individuato in tecniche di Big Data Analytics un enorme potenziale per affrontare le sfide future di HEP. Uno degli sviluppi riguarda la cosiddetta Operation Intelligence, ovvero la ricerca di un aumento nel livello di automazione all'interno dei workflow. Questo genere di approcci potrebbe portare al passaggio da un sistema di manutenzione reattiva ad uno, più evoluto, di manutenzione predittiva o addirittura prescrittiva. La tesi presenta il lavoro fatto in collaborazione con il centro di calcolo dell'INFN-CNAF per introdurre un sistema di ingestione, organizzazione e processing dei log del centro su una piattaforma di Big Data Analytics unificata, al fine di prototipizzare un modello di manutenzione predittiva per il centro. Questa tesi contribuisce a tale progetto con lo sviluppo di un algoritmo di clustering dei messaggi di log basato su misure di similarità tra campi testuali, per superare il limite connesso alla verbosità ed eterogeneità dei log raccolti dai vari servizi operativi 24/7 al centro

The Integration of Product Data with Workflow Management Systems Through a Common Data Model

Traditionally product models, and their definitions, have been handled separately from process models and their definitions. In industry, each has been managed by database systems defined for their specific domain, e.g. Product Data Management (PDM) for product definitions and Workflow Management System (WfM) for process definitions. There is little or no overlap between these two views of systems even though product and process information interact over the complete life cycle from design to production..