48,691 research outputs found

    Improving root cause analysis through the integration of PLM systems with cross supply chain maintenance data

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    The purpose of this paper is to demonstrate a system architecture for integrating Product Lifecycle Management (PLM) systems with cross supply chain maintenance information to support root-cause analysis. By integrating product-data from PLM systems with warranty claims, vehicle diagnostics and technical publications, engineers were able to improve the root-cause analysis and close the information gaps. Data collection was achieved via in-depth semi-structured interviews and workshops with experts from the automotive sector. Unified Modelling Language (UML) diagrams were used to design the system architecture proposed. A user scenario is also presented to demonstrate the functionality of the system

    Enterprise engineering using semantic technologies

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    Modern Enterprises are facing unprecedented challenges in every aspect of their businesses: from marketing research, invention of products, prototyping, production, sales to billing. Innovation is the key to enhancing enterprise performances and knowledge is the main driving force in creating innovation. The identification and effective management of valuable knowledge, however, remains an illusive topic. Knowledge management (KM) techniques, such as enterprise process modelling, have long been recognised for their value and practiced as part of normal business. There are plentiful of KM techniques. However, what is still lacking is a holistic KM approach that enables one to fully connect KM efforts with existing business knowledge and practices already in IT systems, such as organisational memories. To address this problem, we present an integrated three-dimensional KM approach that supports innovative semantics technologies. Its automated formal methods allow us to tap into modern business practices and capitalise on existing knowledge. It closes the knowledge management cycle with user feedback loops. Since we are making use of reliable existing knowledge and methods, new knowledge can be extracted with less effort comparing with another method where new information has to be created from scratch

    An approach to safety analysis of clinical workflows

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    A clinical workflow considers the information and processes that are involved in providing a clinical service. They are safety critical since even minor faults have the potential to propagate and consequently cause harm to a patient, or even for a patient's life to be lost. Experiencing these kinds of failures has a destructive impact on all the involved parties. Due to the large number of processes and tasks included in the delivery of a clinical service, it can be difficult to determine the individuals or the processes that are responsible for adverse events, since such an analysis is typically complex and slow to do manually. Using automated tools to carry out an analysis can help in determining the root causes of potential adverse events and consequently help in avoiding preventable errors through either the alteration of existing workflows, or the design of a new workflow. This paper describes a technical approach to safety analysis of clinical workflows, utilising a safety analysis tool (Hierarchically-Performed Hazard Origin and Propagation Studies (HiP-HOPS)) that is already in use in the field of mechanical systems. The paper then demonstrates the applicability of the approach to clinical workflows by applying it to analyse the workflow in a radiology department. We conclude that the approach is applicable to this area of healthcare and provides a mechanism both for the systematic identification of adverse events and for the introduction of possible safeguards in clinical workflows

    Ex-Ante PLM Misfit Analysis Methodology: A Cognitive Fit Approach

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    Commercial off-the-shelf (COTS) Product Lifecycle Management (PLM) systems have been introduced by companies to facilitate their new product development process to shorten the product time to market, reduce the product development cost, and meet the dynamic demands of customers. However, PLM implementation is not an easy job and some of the attempted projects failed. A common problem encountered in adopting PLM packages has been the issue of misfits, i.e., the gaps between the specifications offered by a PLM package and those required by the adopting organization, which easily causes the project to fail. Current approaches for the ex-ante analysis of PLM misfits are extremely limited. This paper develops a methodology grounded in the extended cognitive fit theory for the misfit analysis. This approach can assist in identifying and representing consistent set of information for functions and workflow processes across business requirements and the PLM package. Particularly, Petri nets that are of graphical representations and easy to understand are employed to model the function-embedded workflow process. A case study is presented to examine the feasibility of this approach. We conclude that with our methodology, PLM analysts or adopting organizations can systematically identify potential misfits and the degree of misfit between the business requirements and PLM packages in an ex-ante analysis to mitigate the risks in PLM implementations

    Technology Target Studies: Technology Solutions to Make Patient Care Safer and More Efficient

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    Presents findings on technologies that could enhance care delivery, including patient records and medication processes; features and functionality nurses require, including tracking, interoperability, and hand-held capability; and best practices

    Principles in Patterns (PiP) : Institutional Approaches to Curriculum Design Institutional Story

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    The principal outputs of the PiP Project surround the Course and Class Approval (C-CAP) system. This web-based system built on Microsoft SharePoint addresses and resolves many of the issues identified by the project. Generally well received by both academic and support staff, the system provides personalised views, adaptive forms and contextualised support for all phases of the approval process. Although the system deliberately encapsulates and facilitates existing approval processes thus achieving buy-in, it is already achieving significant improvements over the previous processes, not only in reducing the administrative overheads but also in supporting curriculum design and academic quality. The system is now embedded across three faculties and is now considered by the University of Strathclyde to be a "core institutional service". Alongside the C-CAP system the PiP Project also cultivated a suite of approaches: an incremental systems development methodology; a structured and replicable evaluation approach, and; Strathclyde's Lean Approach to Efficiencies in Education Kit (SLEEK) business process improvement methodology Each is based on recognised formal techniques, providing the basis for a rigorous approach. This is contextualised within and adapted to the HE institutional context thus building the foundation not only for the project but ultimately for institution wide process improvement. This "institutional story" report summarises the principal outcomes of the Project
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