20 research outputs found

    Industry 4.0: product digital twins for remanufacturing decision-making

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    Currently there is a desire to reduce natural resource consumption and expand circular business principles whilst Industry 4.0 (I4.0) is regarded as the evolutionary and potentially disruptive movement of technology, automation, digitalisation, and data manipulation into the industrial sector. The remanufacturing industry is recognised as being vital to the circular economy (CE) as it extends the in-use life of products, but its synergy with I4.0 has had little attention thus far. This thesis documents the first investigating into I4.0 in remanufacturing for a CE contributing a design and demonstration of a model that optimises remanufacturing planning using data from different instances in a product’s life cycle. The initial aim of this work was to identify the I4.0 technology that would enhance the stability in remanufacturing with a view to reducing resource consumption. As the project progressed it narrowed to focus on the development of a product digital twin (DT) model to support data-driven decision making for operations planning. The model’s architecture was derived using a bottom-up approach where requirements were extracted from the identified complications in production planning and control that differentiate remanufacturing from manufacturing. Simultaneously, the benefits of enabling visibility of an asset’s through-life health were obtained using a DT as the modus operandi. A product simulator and DT prototype was designed to use Internet of Things (IoT) components, a neural network for remaining life estimations and a search algorithm for operational planning optimisation. The DT was iteratively developed using case studies to validate and examine the real opportunities that exist in deploying a business model that harnesses, and commodifies, early life product data for end-of-life processing optimisation. Findings suggest that using intelligent programming networks and algorithms, a DT can enhance decision-making if it has visibility of the product and access to reliable remanufacturing process information, whilst existing IoT components provide rudimentary “smart” capabilities, but their integration is complex, and the durability of the systems over extended product life cycles needs to be further explored

    Interim research assessment 2003-2005 - Computer Science

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    This report primarily serves as a source of information for the 2007 Interim Research Assessment Committee for Computer Science at the three technical universities in the Netherlands. The report also provides information for others interested in our research activities

    Technology 2004, Vol. 2

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    Proceedings from symposia of the Technology 2004 Conference, November 8-10, 1994, Washington, DC. Volume 2 features papers on computers and software, virtual reality simulation, environmental technology, video and imaging, medical technology and life sciences, robotics and artificial intelligence, and electronics

    A specification method for the scalable self-governance of complex autonomic systems

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    IBM, amongst many others, have sought to endow computer systems with selfmanagement capabilities by delegating vital functions to the software itself and proposed the Autonomic Computing model. Hence inducing the so-called self-* properties including the system's ability to be self-configuring, self-optimising, self-healing and self-protecting. Initial attempts to realise such a vision have so far mostly relied on a passive adaptation whereby Design by Contract and Event-Condition-Action (ECA) type constructs are used to regulate the target systems behaviour: When a specific event makes a certain condition true then an action is triggered which executes either within the system or on its environment Whilst, such a model works well for closed systems, its effectiveness and applicability of approach diminishes as the size and complexity of the managed system increases, necessitating frequent updates to the ECA rule set to cater for new and/or unforeseen systems' behaviour. More recent research works are now adopting the parametric adaptation model, where the events, conditions and actions may be adjusted at runtime in response to the system's observed state. Such an improved control model works well up to a point, but for large scale systems of systems, with very many component interactions, the predictability and traceability of the regulation and its impact on the whole system is intractable. The selforganising systems theory, however, offers a scaleable alternative to systems control utilising emerging behaviour, observed at a global level, resulting from the low-level interactions of the distributed components. Whereby, for instance, key signals (signs) for ECA style feedback control need no longer be recognised or understood in the context of the design time system but are defined by their relevance to the runtime system. Nonetheless this model still suffers from a usually inaccessible control model with no intrinsic meaning assigned to data extraction from the systems operation. In other words, there is no grounded definition of particular observable events occurring in the system. This condition is termed the Signal Grounding Problem. This problem cannot usually be solved by analytical or algorithmic methods, as these solutions generally require precise problem formulations and a static operating domain. Rather cognitive techniques will be needed that perform effectively to evaluate and improve performance in the presence of complex, incomplete, dynamic and evolving environments. In order to develop a specification method for scalable self-governance of autonomic systems of systems, this thesis presents a number of ways to alleviate, or circumvent, the Signal Grounding Problem through the utilisation of cognitive systems and the properties of complex systems. After reviewing the specification methods available for governance models, the Situation Calculus dialect of first order logic is described with the necessary modalities for the specification of deliberative monitoring in partially observable environments with stochastic actions. This permits a specification method that allows the depiction of system guards and norms, under central control, as well as the deliberative functions required for decentralised components to present techniques around the Signal Grounding problem, engineer emergence and generally utilise the properties of large complex systems for their own self-governance. It is shown how these large-scale behaviours may be implemented and the properties assessed and utilised by an Observer System through fully functioning implementations and simulations. The work concludes with two case studies showing how the specification would be achieved in practice: An observer based meta-system for a decision support system in medicine is described, specified and implemented up to parametric adaptation and a NASA project is described with a specification given for the interactions and cooperative behaviour that leads to scale-free connectivity, which the observer system may then utilise for a previously described efficient monitoring strategy

    Thermionic energy conversion system design Final technical report

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    Performance evaluation of plutonia fueled multicell thermionic converte

    The Bee Lab kit: activities engaging motivated lay users in the use of open technologies for citizen science activities

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    The PhD work aligns technological opportunities with self-selecting motivated participants, investigating their desire to monitor wildlife within their custody. It used an ethnographic and user- centred design approach with amateur beekeepers. The work built reciprocal interest in data which users could gather from self-assembled monitoring tools. This PhD explores the relationship between Open Design and Citizen Science, testing it ‘in-the-wild’ through the Bee Lab kit. The development of the kit and territory research was carried out in close collaboration with a local beekeeping community based in the South East of England. The work engaged with the British Beekeepers Association (BBKA), a Citizen Science stakeholder and technology provider Technology Will Save Us (TWSU), informing the project at each stage. The PhD territory was highlighted in scoping design workshops with the public (Phillips. R, Baurley. S, Silve. S) and developed into: cultural probes deployed nationally investigating beekeepers’ ‘making’ activities (Phillips. R, Baurley. S, Silve. S 2013b), ethnographic studies identifying beekeepers’ product creations and re-appropriations for beekeeping praxis, participatory design workshops establishing lay users’ ‘technologically enabled conversations with bees’ (Phillips. R, Ford. Y, Sadler. K, Silve. S, Baurley. S 2013), technology kit assembly workshops testing kit design and competence of lay users (Phillips, Blum et al. 2014), and mental models of creating instructional content (Phillips, Robert., Lockton, Dan., Baurley, Sharon & Silve, Sarah 2013). The Bee Lab Kit: activities engaging motivated lay users in the use of open technologies for CS activities Page 2 of 265 The creation of a repeatable Open Design / Citizen Science model based upon the live ïżŒtesting from the Bee Lab project appendix (O) ïżŒOpen Design Standards (paper pending publication) appendix (K) The project worked with Citizen Science Vendors, Sussex Wildlife Trust and Cornell Laboratory of Ornithology, ascertaining the framing of Open Design/Citizen Science projects through a design toolkit. The design toolkit invention and testing was carried out with conservation organisations (Phillips, R & Baurley, S 2014) and technology kit deployment ‘in-the-wild’ with end users (Phillips, R., Blum, J., Brown, M. & Baurley, S 2014). Finally, the work identified the motivations of the individual stakeholders within the project

    Frameworks for enhancing temporal interface behaviour through software architectural design

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    The work reported in this thesis is concerned with understanding aspects of temporal behaviour. A large part of the thesis is based on analytical studies of temporal properties and interface and architectural concerns. The main areas covered include: i. analysing long-term human processes and the impact of interruptions and delays ii. investigating how infrastructures can be designed to support synchronous fast pace activity iii.design of the Getting-to-Know (GtK) experimental notification server The work is motivated by the failure of many collaborative systems to effectively manage the temporal behaviour at the interface level, as they often assume that the interaction is taking place over fast, reliable local area networks. However, the Web has challenged this assumption and users are faced with frequent network-related delays. The nature of cooperative work increases the importance of timing issues. Collaborative users require both rapid feedback of their own actions and timely feedthrough of other actions. Although it may appear that software architectures are about the internals of system design and not a necessary concern for the user interface, internal details do show up at the surface in non-functional aspects, such as timing. The focus of this work is on understanding the behavioural aspects and how they are influenced by the infrastructure. The thesis has contributed to several areas of research: (a)the study of long-term work processes generated a trigger analysis technique for task decomposition in HCI (b)the analysis of architectures was later applied to investigate architectural options for mobile interfaces (c)the framework for notification servers commenced a design vocabulary in CSCW for the implementation of notification services, with the aim of improving design (d)the impedance matching framework facilitate both goal-directed feedthrough and awareness In particular, (c) and (d) have been exercised in the development of the GtK separable notification server

    NASA Tech Briefs, January 1992

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    Topics include: New Product Ideas; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery/Automation; Fabrication; Mathematics and Information Sciences; Life Sciences

    The contexts of use and the innovation of TV-centric network technologies: as viewers become consumer-users

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    This thesis seeks to explore something of the current nature of human, social and business contingencies constituting and motivating design, production, consumption and the use of technologies. It places a particular emphasis on the innovation of TV-centric network technologies - 'new' media technologies, particularly interactive television (i-Tv), intended to link, enhance or otherwise augment existing television technology and content. The empirical work in the thesis studied the development and implementation of a complex large-scale i-Tv trial in Cambridge, UK. Issues arising from the research led to the development of a general research framework - Contextual Usability (CU) - whose central aim is to draw awareness to the complex and multiple dimensions of the use process as a social and organisational construction, and also to redefine its place as an intrinsic experiential dimension in the domestication of products and services.Various senior managers and designers were interviewed within the company designing and producing the i-Tv technology and interface for the trial, as were 11 participant households. The author concludes with an overview suggesting the interconnected and interdependent nature of trials, technology, users, design, designers and organisation. For this he uses CU in relation to Molina's notion of Sociotechnical Constituencies to illustrate how social, cultural and organisational elements of trials both rely and impinge upon the implementation and interpretation of user and consumer research, and thus working 'images'of the user and the use process
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