Suchergebnisse

Introduction to risk assessment -- Risk perception -- Risks and consequences -- Ecological risk assessment -- Task analysis techniques -- Preliminary hazard analysis -- Primer on probability and statistics -- Mathematical tools for updating probabilities -- Developing probabilities -- Quantifying the unquantifiable -- Failure mode and effects analysis -- Human reliability analyses -- Critical incident technique -- Basic fault tree analysis technique -- Critical function analysis -- Event tree and decision tree analysis -- Probabilistic risk assessment -- Probabilistic risk assessment software -- Qualitative and quantitative research methods used in risk assessment -- Risk of an epidemic -- Vulnerability analysis technique -- Developing risk model for aviation inspection and maintenance tasks -- Risk assessment and community planning -- Threat assessment -- Project risk management -- Enterprise risk management overview -- Process safety management and hazard and operability assessment -- Emerging risks -- Process plant risk assessment example -- Risk assessment framework for detecting, predicting, and mitigating aircraft material -- Inspection: a case study -- Traffic risks -- Acronyms.

This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection method for longitudinal displacements to assess the behavior of a singular asymmetric prestressed concrete structure with a 120 m high central pier acting as a fixed point. We first show that the available long-term horizontal displacement measurements recorded during the undamaged state exhibit strong correlations at the different locations of the bearings. Thus, we combine measurements from four sensors to design a robust performance indicator that is only weakly affected by temperature variations after the application of principal component analysis. We validate the method and show its efficiency against false positives and negatives using several metrics: accuracy, precision, recall, and F1 score. Due to its unsupervised learning scope, the proposed technique is intended to serve as a real-time supervision tool that complements maintenance inspections. It aims to provide support for the prioritization and postponement of maintenance actions in bridge management. ; Authors would like to acknowledge the discussions with Marcos Pantaleón from APIA XXI, Ambher Monitoring Systems and Banobras S.N.C. This work has received funding from the European's Union Horizon 2020 research and innovation program under the grant agreement No 690660 (RAGTIME Project) and No 769373 (FORESEE Project). This paper refects only the author's views. The European Commission and INEA are not responsible for any use that may be made of the information contained therein. David Pardo has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 777778 (MATHROCKS), the European POCTEFA 2014-2020 Project PIXIL (EFA362/19) by the European Regional Development Fund (ERDF) through the Interreg V-A Spain-France-Andorra program, the Project of the Spanish Ministry of Science and Innovation with reference PID2019-108111RBI00 (FEDER/AEI), the BCAM "Severo Ochoa" accreditation of excellence (SEV-2017-0718), and the Basque Government through the BERC 2018-2021 program, the two Elkartek projects 3KIA (KK2020/00049) and MATHEO (KK-2019-00085), the grant "Artifcial Intelligence in BCAM number EXP. 2019/00432", and the Consolidated Research Group MATHMODE (IT1294-19) given by the Department of Education.

This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection method for longitudinal displacements to assess the behavior of a singular asymmetric prestressed concrete structure with a 120 m high central pier acting as a fixed point. We first show that the available long-term horizontal displacement measurements recorded during the undamaged state exhibit strong correlations at the different locations of the bearings. Thus, we combine measurements from four sensors to design a robust performance indicator that is only weakly affected by temperature variations after the application of principal component analysis. We validate the method and show its efficiency against false positives and negatives using several metrics: accuracy, precision, recall, and F1 score. Due to its unsupervised learning scope, the proposed technique is intended to serve as a real-time supervision tool that complements maintenance inspections. It aims to provide support for the prioritization and postponement of maintenance actions in bridge management. ; Authors would like to acknowledge the discussions with Marcos Pantaleón from APIA XXI, Ambher Monitoring Systems and Banobras S.N.C. This work has received funding from the European's Union Horizon 2020 research and innovation program under the grant agreement No 690660 (RAGTIME Project) and No 769373 (FORESEE Project). This paper reflects only the author's views. The European Commission and INEA are not responsible for any use that may be made of the information contained therein. David Pardo has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 777778 (MATHROCKS), the European POCTEFA 2014-2020 Project PIXIL (EFA362/19) by the European Regional Development Fund (ERDF) through the Interreg V-A Spain-France-Andorra program, the Project of the Spanish Ministry of Science and Innovation with reference PID2019-108111RBI00 (FEDER/AEI), the BCAM "Severo Ochoa" accreditation of excellence (SEV-2017-0718), and the Basque Government through the BERC 2018-2021 program, the two Elkartek projects 3KIA (KK-2020/00049) and MATHEO (KK-2019-00085), the grant "Artificial Intelligence in BCAM number EXP. 2019/00432", and the Consolidated Research Group MATHMODE (IT1294-19) given by the Department of Education.

During the 1990s a growing number of firms have been encouraging continuous improvement (CI) in all aspects of working life, and some impressive results have been achieved. However, the process of implementing CI is long and challenging. Companies need to know what progress they have made, and the outcome of any interventions, in order to consolidate and further develop CI. The CIRCA CI self‐assessment tool is a research‐based tool which helps users to make an objective assessment of CI in their company. It is designed to be used by any organisation regardless of size, industry, length of time working with CI, and the particular approach taken. The tool went through several phases of development, culminating in a paper‐based Version 3.0 in 1997. Since then further development and testing of the tool has taken place in the UK and abroad, and future plans include an electronic version.

This is a comprehensive review and evaluation of the main international and national tools utilised to assess the impact of developments on communities to determine their validity of their capacity to detect and measure impacts across a wide spectrum of community resources. Manuals from environmental, health and social impact assessment were reviewed. The criteria for evaluation were the type of indicators used in the tool; the stage at which communities were involved in the assessment process and whether assessments were completed from an insider (local) or outsider (expert) perspective. The findings were that few guidelines include detail in measuring, monitoring, and including community-validated indicators. It is still rare to find impact assessments that include criteria that are meaningful to the community rather than to the developer or outside expert. While the need to include the target community in the assessment process has been acknowledged over the last 10 to 20 years the rigorous work required for the development of criteria to validate community-driven assessment still needs to be completed. Adapted from the source document.

Partnerships are increasingly seeking tools that enable stakeholders to reflect on their own effectiveness, benchmark the status of their partnership and provide a framework for development. Drawing on the evaluation of two Health Action Zones, this article focuses on the use of one such formal assessment tool, adapted from the Nuffield Partnership Assessment Tool and the Verona Benchmark, to explore the contribution of formal tools to our understanding of partnership. It outlines some key methodological limitations and stresses the continued importance of an understanding of context alongside any measurement of partnership effectiveness. It is suggested that formal assessment tools can be extremely valuable in terms of the learning that can result both from the process itself and from the outcomes of the assessment. However, as a stand-alone device they are open to misinterpretation and unlikely to foster development other than in those partnerships prepared to invest the necessary resources in a broad-based evaluation.

Purpose
The purpose of this paper is to analyse 12 assessment tools of sustainability in universities and develop the structure and the contents of these tools to be more intelligible. The configuration of the tools reviewed highlight indicators that clearly communicate only the essential information. This paper explores how the theoretical concept of a sustainable university is translated into more measurable variables to support practitioners and academics in assessing sustainability in universities.


Design/methodology/approach
The main method for this paper was a desk study approach, which incorporated reviewing research papers, graduate theses, academic books, network platforms and websites.


Findings
The tools reviewed share similar traits in terms of criteria, sub-criteria and indicators. Five benchmarks are essential for a holistic framework: management; academia; environment; engagement and innovation.


Practical implications
This research can not only be used to improve existing assessment tools but also as a means to develop new tools tailored for universities that face a variety of challenges and lack the ability to measure their sustainability policies.


Social implications
Making higher education more sustainable through all the criteria mentioned influences students, as well as staff, to maintain a culture of sustainability.


Originality/value
This study contributes to the literature by simplifying and detailing the structure and contents of the tools in a way which indicators are shown, giving a full picture of these tools to enable universities to be more aware of the sustainability issues that affect them.

In this paper the strategic transport policy assessment instrument HIGH-TOOL is presented. The model has been developed for the European Commission, allowing policy-makers to identify the most advantageous transport policies and to strategically evaluate the impacts of transport policies on transport, environment and economy. The main innovation of this policy assessment tool lies in the integration of originally independently functioning models - i.e. passenger and freight demand, demography, and vehicle stock models, as well as economic, environmental and safety assessment models. With its traffic zones at the regional level of NUTS-2 and its aggregated view on the transport system, the instrument has a relatively lean structure avoiding runtime problems, without losing the spatial dimension. What distinguishes HIGH-TOOL from all other European transport policy assessment instruments: the model is an open source tool, it is freely available and does not require any commercial software to be run. In combination with its modular structure the HIGH-TOOL model can relatively easily be adjusted to other modelling methodologies or data. It can also comparatively easily be made responsive to 'new' policies which are not in the scope of the current model version. Thus the HIGH-TOOL model lays the foundation for further innovations in the assessment of transport policies and mobility concepts.

This is a comprehensive review and evaluation of the main international and national tools utilised to assess the impact of developments on communities to determine their validity of their capacity to detect and measure impacts across a wide spectrum of community resources. Manuals from environmental, health and social impact assessment were reviewed. The criteria for evaluation were the type of indicators used in the tool; the stage at which communities were involved in the assessment process and whether assessments were completed from an insider (local) or outsider (expert) perspective. The findings were that few guidelines include detail in measuring, monitoring, and including community‐validated indicators. It is still rare to find impact assessments that include criteria that are meaningful to the community rather than to the developer or outside expert. While the need to include the target community in the assessment process has been acknowledged over the last 10 to 20 years the rigorous work required for the development of criteria to validate community‐driven assessment still needs to be completed.