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Analyse van de input (financiele middelen), throughput (activiteiten) en output (prestaties, successen) van het topsportbeleid in Nederland.
Purpose: To present a new Value Adding Management model in order to support decision makers in identifying appropriate interventions to add value to the organisation, to manage its implementation, and to measure the output and outcomes.Theory: The paper builds on value adding management theories and models including the triplet input-throughput-output, a distinction between output, outcome and added value, the Plan-Do-Act-Check cycle, change management and performance measurement.Design/methodology/approach: Literature review and a cross-chapter analysis of a forthcoming book, where authors from different European countries present a state of the art of theory and research on 12 value parameters, how to manage and measure each value, and to discuss the costs and benefits of typical FM and CREM interventions to enhance satisfaction, image, culture, health and safety, productivity, adaptability, innovation, risk, cost, value of assets, sustainability and Corporate Social Responsibility.Findings: The new Value Adding Management model follows the steps from the well-known Plan-Do-Check-Act cycle. The four steps are supported by various tools that were found in the literature or came to the fore in the state-of-the-art sections of the 12 value parameters. Furthermore an overview is presented of ways to measure the 12 value parameters and related Key Performance Indicators.Originality/value: Much has been written about adding value by FM and CREM. This paper presents a new Value Adding Management model that opens the black box of input-throughput-output-outcome and which is supported by various management and measurement tools.
Many lithographically created optical components, such as photonic crystals, require the creation of periodically repeated structures [1]. The optical properties depend critically on the consistency of the shape and periodicity of the repeated structure. At the same time, the structure and its period may be similar to, or substantially below that of the optical diffraction limit, making inspection with optical microscopy difficult. Inspection tools must be able to scan an entire wafer (300 mm diameter), and identify wafers that fail to meet specifications rapidly. However, high resolution, and high throughput are often difficult to achieve simultaneously, and a compromise must be made. TeraNova is developing an optical inspection tool that can rapidly image features on wafers. Their product relies on (a) knowledge of what the features should be, and (b) a detailed and accurate model of light diffraction from the wafer surface. This combination allows deviations from features to be identified by modifying the model of the surface features until the calculated diffraction pattern matches the observed pattern. This form of microscopy—known as Fourier microscopy—has the potential to be very rapid and highly accurate. However, the solver, which calculates the wafer features from the diffraction pattern, must be very rapid and precise. To achieve this, a hardware solver will be implemented. The hardware solver must be combined with mechatronic tracking of the absolute wafer position, requiring the automatic identification of fiduciary markers. Finally, the problem of computer obsolescence in instrumentation (resulting in security weaknesses) will also be addressed by combining the digital hardware and software into a system-on-a-chip (SoC) to provide a powerful, yet secure operating environment for the microscope software.
DISCO aims at fast-tracking upscaling to new generation of urban logistics and smart planning unblocking the transition to decarbonised and digital cities, delivering innovative frameworks and tools, Physical Internet (PI) inspired. To this scope, DISCO will deploy and demonstrate innovative and inclusive urban logistics and planning solutions for dynamic space re-allocation integrating urban freight at local level, within efficiently operated network-of-networks (PI) where the nodes and infrastructure are fixed and mobile based on throughput demands. Solutions are co-designed with the urban logistics community – e.g., cities, logistics service providers, retailers, real estate/public and private infrastructure owners, fleet owners, transport operators, research community, civil society - all together moving a paradigm change from sprawl to data driven, zero-emission and nearby-delivery-based models.
Aanleiding Nieuwe stoffen en producten van de farmaceutische sector en de (agro)chemie moeten uitgebreid getest worden voordat ze op de markt kunnen verschijnen. Voor die testen is nu nog een groot aantal proefdieren nodig. Dit stuit echter op een aantal bezwaren: de uitkomsten van deze studies zijn niet altijd goed vertaalbaar naar effecten bij de mens, proefdierstudies zijn duur en de ethische kant van dierproeven staat steeds vaker ter discussie. Bedrijven zijn naarstig op zoek naar alternatieve testsystemen die ervoor kunnen zorgen dat proefdierstudies met zoogdieren worden verminderd, verfijnd en vervangen (de drie V's). Doelstelling In twee eerdere RAAK-projecten is ontdekt dat nematode C. elegans een kansrijk alternatief voor dierproeven is. Het is nu aan het multidisciplinaire team van Elegant! om de potentie van deze rondworm uit te bouwen en te ontwikkelen in een gevalideerd onderzoeksmodel voor de chemische, agrochemische en farmaceutische sector. Zij gaan C. elegans inzetten als alternatief testmodel om complexe responsen te meten. De vragen die zij willen beantwoorden met het onderzoek zijn: " Hoe effectief is het gebruik van C. elegans als alternatief testsysteem in het voorspellen van mogelijke toxische effecten en farmaceutische activiteiten? " In hoeverre kan C. elegans een meerwaarde hebben met betrekking tot het bestuderen en begrijpen van het onderliggende werkingsmechanisme? Beoogde resultaten Het resultaat van het project is kennis over de effectiviteit van C. elegans als alternatief systeem voor het screenen van stoffen op veiligheid en activiteit. Tijdens het onderzoek wordt er ook nieuwe technologie ontwikkeld, waaronder: " een productieproces voor de continue aanlevering van wormen; " lab-on-chipmodule voor high-throughput microscopie; " zelfregulerende mappingtool voor verzameling en interpretatie van data.
