369,237 research outputs found

    Design, development and construction of an ATEX compliant ISO 9001:2008 magnetic ink manufacturing facility

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    This Thesis charts the cradle-to-grave development of a chemical processing plant suitable for the manufacture of 160 tonnes per annum of magnetic ink, and the associated, in-line process, quality control and assurance methodologies, developing innovations for the printing industry. The work was undertaken through Knowledge Transfer Partnership number 9576 between BemroseBooth Paragon, Ltd. and The University of Hull.First, the formulation of magnetic inks is described and characterized through a variety of physical and chemical measurements. The magnetic properties of the development inks are presented. Thirteen different ink formulations were developed during the course of this work, all of which are currently now available on the global market, being sold in four continents to, amongst others, the Rail Delivery Group (RDG, formerly ATOC), Régie-Autonome des Transports Parisiens (RATP), all operators for the French motorway tolls (Sanef, Vinci, ASF, etc.), New York Metropolitan and Casa da Moeda do Brasil (CMB).The design of the manufacturing process, including safety, health and environment consideration, are outlined, with their realization within an ISO 9001:2008 quality management system. The process economics are rationalized and pre-project estimations are contrasted with actual costs.Fast moving manufacturing environments always require the development of innovations to expand product ranges and resolve issues associated with limited reverse supply chains and complications in the use of manufactured product. A variety of problems are presented, with realized and pragmatic pathways to their solution given. In keeping with the spirit of environmental responsibility, innovations in the development of water-based magnetic inks are presented, and routes to their low cost, in situ process monitoring, presented.Last, an entirely new electrochemical approach to the detection of security threats in a mass transit environment is illustrated to a proof-of-concept

    The 2P-K Framework: A Personal Knowledge Measurement Framework for the Pharmaceutical Industry

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    Knowledge is a dynamic human process to justify our personal belief in pursuit of the truth. The intellectual output of any organisation is reliant upon the individual people within that organisation. Despite the eminent role of personal knowledge in organisations, personal knowledge management and measurement have received little attention, particularly in pharmaceutical manufacturing. The pharmaceutical industry is one of the pillars of the global economy and a knowledge-intensive sector where knowledge is described as the second product after medicines. The need of measurement to achieve effective management is not a new concept in management literature. This study offers an explanatory framework for personal knowledge, its underlying constructs and observed measures in the pharmaceutical manufacturing context. Following a sequential mixed method research (MMR) design, the researcher developed a measurement framework based on the thematic analysis of fifteen semi-structured interviews with industry experts and considering the extant academic and regulatory literature. A survey of 190 practitioners from the pharmaceutical manufacturing sector enabled quantitative testing and validation of the proposed models utilising confirmatory factor analysis. The pharmaceutical personal knowledge framework was the fruit of a comprehensive study to explain and measure the manifestations of personal knowledge in pharmaceutical organisations. The proposed framework identifies 41 personal knowledge measures reflecting six latent factors and the underlying personal knowledge. The hypothesised factors include: regulatory awareness, performance, wisdom, organisational understanding, mastership of product and process besides communication and networking skills. In order to enhance the applicability and flexibility of the measurement framework, an abbreviated 15-item form of the original framework was developed. The abbreviated pharmaceutical personal knowledge (2P-K) framework demonstrated superior model fit, better accuracy and reliability. The research results reveal that over 80% of the participant pharmaceutical organisations had a form of structured KM system. However, less than 30% integrated KM with corporate strategies suggesting that KM is still in the early stages of development in the pharmaceutical industry. Also, personal knowledge measurement is still a subjective practice and predominately an informal process. The 2P-K framework offers researchers and scholars a theoretically grounded original model for measuring personal knowledge. Also, it offers a basis for a personal knowledge measurement scale (2P-K-S) in the pharmaceutical manufacturing context. Finally, the study had some limitations. The framework survey relied on self-ratings. This might pose a risk of social desirability bias and Dunning–Kruger effect. Consequently, a 360- degree survey was suggested to achieve accurate assessments. Also, the model was developed and tested in an industry-specific context. A comparative study in similar manufacturing industries (e.g. chemical industries) is recommended to assess the validity of the current model or a modified version of it in other industries

    Opportunities for Dutch Biorefineries

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    Deze Roadmap Bioraffinage beschrijft een aantal mogelijke routes naar de ontwikkeling en implementatie van een bioraffinage-gerelateerde Bio-based Economy in Nederland. De Roadmap combineert korte- en middellange termijn mogelijkheden (commerciële implementatie, demonstratie plants, pilot plants en gerelateerd toegepast onderzoek) met strategisch onderzoek voor de langere termijn. Tevens zijn vier z.g. Moonshots uitgewerkt, als voorziene bioraffinagestrategieën met een grote potentie voor de Nederlandse economi

    A Scientific Roadmap for Antibiotic Discovery: A Sustained and Robust Pipeline of New Antibacterial Drugs and Therapies is Critical to Preserve Public Health

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    In recent decades, the discovery and development of new antibiotics have slowed dramatically as scientific barriers to drug discovery, regulatory challenges, and diminishing returns on investment have led major drug companies to scale back or abandon their antibiotic research. Consequently, antibiotic discovery—which peaked in the 1950s—has dropped precipitously. Of greater concern is the fact that nearly all antibiotics brought to market over the past 30 years have been variations on existing drugs. Every currently available antibiotic is a derivative of a class discovered between the early 1900s and 1984.At the same time, the emergence of antibiotic-resistant pathogens has accelerated, giving rise to life-threatening infections that will not respond to available antibiotic treatment. Inevitably, the more that antibiotics are used, the more that bacteria develop resistance—rendering the drugs less effective and leading public health authorities worldwide to flag antibiotic resistance as an urgent and growing public health threat

    Sustainability of the chemical manufacturing industry - Towards a new paradigm?

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    This paper describes the current situation of the chemicalmanufacturingindustry, with special reference to Europe and looks to the future sustainability demands on the sector, and the implications of these demands for chemical engineering education. These implications include definitions of sustainability criteria for the sector and the need for transparent reporting under the Triple Bottom Line approach. The response of the education system to the sustainability agenda over the years and a number of strategies to incorporate it into courses are described. The important role of chemical (or more generally, process) engineers in delivering sustainable solutions is emphasised but this also suggests that anew way of thinking about the discipline is required. Indeed, this paper argues that the demand for a sustainable chemicalmanufacturing sector could bring about the next paradigm shift in the discipline which has been predicted for some time

    Markets for technology (why do we see them, why don't we see more of them and why we should care)

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    This essay explores the nature, the functioning, and the economic and policy implications of markets for technology. Today, the outsourcing of research and development activities is more common than in the past, and specialized technology suppliers have emerged in many industries. In a sense, the Schumpeterian vision of integrating R&D with manufacturing and distribution is being confronted by the older Smithian vision of division of labor. The existence and efficacy of markets for technology can profoundly influence the creation and diffusion of new knowledge, and hence, economic growth of countries and the competitive position of companies. The economic and managerial literatures have touched upon some aspects of the nature of these markets. However, a thorough understanding of how markets for technology work is still lacking. In this essay we address two main questions. First, what are the factors that enable a market for technology to exist and function effectively? Specifically we look at the role of industry structure, the nature of knowledge, and intellectual property rights and related institutions. Second, we ask what the implications of such markets are for the boundaries of the firm, the specialization and division of labor in the economy, industry structure, and economic growth. We build on this discussion to develop the implications of our work for public policy and corporate strategy

    AI and OR in management of operations: history and trends

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    The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested

    Data-driven Soft Sensors in the Process Industry

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    In the last two decades Soft Sensors established themselves as a valuable alternative to the traditional means for the acquisition of critical process variables, process monitoring and other tasks which are related to process control. This paper discusses characteristics of the process industry data which are critical for the development of data-driven Soft Sensors. These characteristics are common to a large number of process industry fields, like the chemical industry, bioprocess industry, steel industry, etc. The focus of this work is put on the data-driven Soft Sensors because of their growing popularity, already demonstrated usefulness and huge, though yet not completely realised, potential. A comprehensive selection of case studies covering the three most important Soft Sensor application fields, a general introduction to the most popular Soft Sensor modelling techniques as well as a discussion of some open issues in the Soft Sensor development and maintenance and their possible solutions are the main contributions of this work
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