13,807 research outputs found

    Can involving clients in simulation studies help them solve their future problems? A transfer of learning experiment

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    It is often stated that involving the client in operational research studies increases conceptual learning about a system which can then be applied repeatedly to other, similar, systems. Our study provides a novel measurement approach for behavioural OR studies that aim to analyse the impact of modelling in long term problem solving and decision making. In particular, our approach is the first to operationalise the measurement of transfer of learning from modelling using the concepts of close and far transfer, and overconfidence. We investigate learning in discrete-event simulation (DES) projects through an experimental study. Participants were trained to manage queuing problems by varying the degree to which they were involved in building and using a DES model of a hospital emergency department. They were then asked to transfer learning to a set of analogous problems. Findings demonstrate that transfer of learning from a simulation study is difficult, but possible. However, this learning is only accessible when sufficient time is provided for clients to process the structural behaviour of the model. Overconfidence is also an issue when the clients who were involved in model building attempt to transfer their learning without the aid of a new model. Behavioural OR studies that aim to understand learning from modelling can ultimately improve our modelling interactions with clients; helping to ensure the benefits for a longer term; and enabling modelling efforts to become more sustainable

    Strategic emergency department design: An approach to capacity planning in healthcare provision in overcrowded emergency rooms

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    Healthcare professionals and the public have increasing concerns about the ability of emergency departments to meet current demands. Increased demand for emergency services, mainly caused by a growing number of minor and moderate injuries has reached crisis proportions, especially in the United Kingdom. Numerous efforts have been made to explore the complex causes because it is becoming more and more important to provide adequate healthcare within tight budgets. Optimisation of patient pathways in the emergency department is therefore an important factor

    A Process Modelling Framework Based on Point Interval Temporal Logic with an Application to Modelling Patient Flows

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    This thesis considers an application of a temporal theory to describe and model the patient journey in the hospital accident and emergency (A&E) department. The aim is to introduce a generic but dynamic method applied to any setting, including healthcare. Constructing a consistent process model can be instrumental in streamlining healthcare issues. Current process modelling techniques used in healthcare such as flowcharts, unified modelling language activity diagram (UML AD), and business process modelling notation (BPMN) are intuitive and imprecise. They cannot fully capture the complexities of the types of activities and the full extent of temporal constraints to an extent where one could reason about the flows. Formal approaches such as Petri have also been reviewed to investigate their applicability to the healthcare domain to model processes. Additionally, to schedule patient flows, current modelling standards do not offer any formal mechanism, so healthcare relies on critical path method (CPM) and program evaluation review technique (PERT), that also have limitations, i.e. finish-start barrier. It is imperative to specify the temporal constraints between the start and/or end of a process, e.g., the beginning of a process A precedes the start (or end) of a process B. However, these approaches failed to provide us with a mechanism for handling these temporal situations. If provided, a formal representation can assist in effective knowledge representation and quality enhancement concerning a process. Also, it would help in uncovering complexities of a system and assist in modelling it in a consistent way which is not possible with the existing modelling techniques. The above issues are addressed in this thesis by proposing a framework that would provide a knowledge base to model patient flows for accurate representation based on point interval temporal logic (PITL) that treats point and interval as primitives. These objects would constitute the knowledge base for the formal description of a system. With the aid of the inference mechanism of the temporal theory presented here, exhaustive temporal constraints derived from the proposed axiomatic system’ components serves as a knowledge base. The proposed methodological framework would adopt a model-theoretic approach in which a theory is developed and considered as a model while the corresponding instance is considered as its application. Using this approach would assist in identifying core components of the system and their precise operation representing a real-life domain deemed suitable to the process modelling issues specified in this thesis. Thus, I have evaluated the modelling standards for their most-used terminologies and constructs to identify their key components. It will also assist in the generalisation of the critical terms (of process modelling standards) based on their ontology. A set of generalised terms proposed would serve as an enumeration of the theory and subsume the core modelling elements of the process modelling standards. The catalogue presents a knowledge base for the business and healthcare domains, and its components are formally defined (semantics). Furthermore, a resolution theorem-proof is used to show the structural features of the theory (model) to establish it is sound and complete. After establishing that the theory is sound and complete, the next step is to provide the instantiation of the theory. This is achieved by mapping the core components of the theory to their corresponding instances. Additionally, a formal graphical tool termed as point graph (PG) is used to visualise the cases of the proposed axiomatic system. PG facilitates in modelling, and scheduling patient flows and enables analysing existing models for possible inaccuracies and inconsistencies supported by a reasoning mechanism based on PITL. Following that, a transformation is developed to map the core modelling components of the standards into the extended PG (PG*) based on the semantics presented by the axiomatic system. A real-life case (from the King’s College hospital accident and emergency (A&E) department’s trauma patient pathway) is considered to validate the framework. It is divided into three patient flows to depict the journey of a patient with significant trauma, arriving at A&E, undergoing a procedure and subsequently discharged. Their staff relied upon the UML-AD and BPMN to model the patient flows. An evaluation of their representation is presented to show the shortfalls of the modelling standards to model patient flows. The last step is to model these patient flows using the developed approach, which is supported by enhanced reasoning and scheduling

    London Creative and Digital Fusion

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    date-added: 2015-03-24 04:16:59 +0000 date-modified: 2015-03-24 04:16:59 +0000date-added: 2015-03-24 04:16:59 +0000 date-modified: 2015-03-24 04:16:59 +0000The London Creative and Digital Fusion programme of interactive, tailored and in-depth support was designed to support the UK capital’s creative and digital companies to collaborate, innovate and grow. London is a globally recognised hub for technology, design and creative genius. While many cities around the world can claim to be hubs for technology entrepreneurship, London’s distinctive potential lies in the successful fusion of world-leading technology with world-leading design and creativity. As innovation thrives at the edge, where better to innovate than across the boundaries of these two clusters and cultures? This booklet tells the story of Fusion’s innovation journey, its partners and its unique business support. Most importantly of all it tells stories of companies that, having worked with London Fusion, have innovated and grown. We hope that it will inspire others to follow and build on our beginnings.European Regional Development Fund 2007-13

    When organisational effectiveness fails: business continuity management and the paradox of performance

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    Purpose: The aim of the paper is to consider the nature of the business continuity management (BCM) process and to frame it within wider literature on the performance of socio-technical systems. Despite the growth in BCM activities in organisations, some questions remain as to whether academic research has helped to drive this process. The paper seeks to stimulate discussion within this journal of the interplay between organisational performance and BCM and to frame it within the context of the potential tensions between effectiveness and efficiency. Design/methodology/approach: The paper considers how BCM is defined within the professional and academic communities that work in the area. It deconstructs these definitions in order to and set out the key elements of BCM that emerge from the definitions and considers how the various elements of BCM can interact with each other in the context of organisational performance. Findings: The relationships between academic research in the area of crisis management and the practice-based approaches to business continuity remain somewhat disjointed. In addition, recent work in the safety management literature on the relationships between success and failure can be seen to offer some interesting challenges for the practice of business continuity. Practical implications: The paper draws on some of the practice-based definitions of BCM and highlights the limitations and challenges associated with the construct. The paper sets out challenges for BCM based upon theoretical challenges arising in cognate areas of research. The aim is to ensure that BCM is integrated with emerging concepts in other aspects of the management of uncertainty and to do so in a strategic context. Originality/value: Academic research on performance reflects both the variety and the multi-disciplinary nature of the issues around measuring and managing performance. Failures in organisational performance have also invariably attracted considerable attention due to the nature of a range of disruptive events. The paper reveals some of the inherent paradoxes that sit at the core of the BCM process and its relationships with organisational performance

    Managing systemic risk in emergency management, organizational resilience and climate change adaptation

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    Purpose This paper applies the theory of cascading, interconnected and compound risk to the practice of preparing for, managing, and responding to threats and hazards. Our goal is to propose a consistent approach for managing major risk in urban systems by bringing together emergency management, organisational resilience, and climate change adaptation. Design/methodology/approach We develop a theory-building process using an example from the work of the Greater London Authority in the United Kingdom. First, we explore how emergency management approaches systemic risk, including examples from of exercises, contingency plans and responses to complex incidents. Secondly, we analyse how systemic risk is integrated into strategies and practices of climate change adaptation. Thirdly, we consider organisational resilience as a cross cutting element between the approaches. Findings London has long been a champion of resilience strategies for dealing with systemic risk. However, this paper highlights a potential for integrating better the understanding of common points of failure in society and organisations, especially where they relate to interconnected domains and where they are driven by climate change. Originality/value The paper suggests shifting toward the concept of operational continuity to address systemic risk and gaps between Emergency Management, Organizational Resilience and Climate Change Adaptation

    Practical Lessons in Applied Resource Valuation: Evaluating Bintuni Bay

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    The basic objective of the study was to conduct an environmental economic analysis of the various activities taking place in the Bintuni Bay area. The Ministry of Environment was, at that time, starting to close down non-sustainable logging operations while also promoting the conservation of important natural areas. The analysis would provide insights into optimal conservation and development strategies for the resource. Such an analysis needed to be provided quickly to senior policy makers. The entire project from inception, to field work, to analysis, to input into the decision-making process via a workshop of senior policy-makers took less than one-half of one year to complete. Timely delivery of an understandable analytical product was therefore an important aspect of the study.Resource valuation

    Conceptual Modelling of Emerging Technologies - The Use of Novel Electric Aircraft for Emergency Medical Services

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    Implementation of new technologies in operations systems sets specific requirements on simulation conceptual modelling, relating to uncertainties with respect to their specifications, changes implied for operations systems and regulatory frameworks restricting their operation. Furthermore, modellingobjectives may have to be tailored to innovation agendas made by potential adopters of technologies. In this paper, we explore the needs for extending current frameworks to facilitate conceptual modelling of new technologies, using a case study on the introduction of novel electric aircraft (eVTOLs) for Emergency Medical Services. Extensions proposed concern the choice of modelling objectives – which should be aligned with an innovation agenda, technology representation as model content, inputs and outputs – accounting for various uncertainties, and the modelling process – requiring a careful concerting with engineering efforts
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