Relevant bibliographies by topics / At-risk metrics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'At-risk metrics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "At-risk metrics"

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Haupt, Adam Christian, Jonathan Alt, and Samuel Buttrey. "Identifying students at risk in academics." Journal of Defense Analytics and Logistics 1, no. 1 (2017): 8–18. http://dx.doi.org/10.1108/jdal-05-2017-0008.

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Purpose This paper aims to use a data-driven approach to identify the factors and metrics that provide the best indicators of academic attrition in the Korean language program at the Defense Language Institute Foreign Language Center. Design methodology approach This research develops logistic regression models to aid in the identification of at-risk students in the Defense Language Institute’s Korean language school. Findings The results from this research demonstrates that this methodology can detect significant factors and metrics that identify students at-risk. Additionally, this research
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Prem, Katherine P., Dedy Ng, Hans J. Pasman, Mike Sawyer, Yuyan Guo, and M. Sam Mannan. "Risk measures constituting a risk metrics which enables improved decision making: Value-at-Risk." Journal of Loss Prevention in the Process Industries 23, no. 2 (2010): 211–19. http://dx.doi.org/10.1016/j.jlp.2009.08.003.

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Di Clemente, Annalisa. "Comparing Different Systemic Risk Measures for European Banking System." International Business Research 12, no. 1 (2018): 35. http://dx.doi.org/10.5539/ibr.v12n1p35.

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This research examines and compares the performances in terms of systemic risk ranking for three different systemic risk metrics based on daily frequency publicly available data, specifically: Marginal Expected Shortfall (ES), Component Expected Shortfall (CES) and Delta Conditional Value-at-Risk (ΔCoVaR). We compute ΔCoVaR, MES and CES by utilizing EVT principles for modelling marginal distributions and Student’s t copula for describing the dependence structure between every bank and the banking system. Our objective is to attest whether different systemic risk m
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Singh, Satwinder, and K. S. Kahlon. "Object oriented software metrics threshold values at quantitative acceptable risk level." CSI Transactions on ICT 2, no. 3 (2014): 191–205. http://dx.doi.org/10.1007/s40012-014-0057-1.

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Tsan, Min-Fu, and Yen Nguyen. "Assessing the Quality and Performance of Human Research Protection Programs to Guide Compliance Oversight Activities." Journal of Empirical Research on Human Research Ethics 13, no. 3 (2018): 270–75. http://dx.doi.org/10.1177/1556264618776460.

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Routine on-site reviews should focus primarily on facilities that are at risk of harming human subjects. Using human research protection program performance metric data from 107 facilities, we defined a facility to be at risk when one of its noncompliance/incident rates was among the top three highest rates of that performance metric. Based on 14 performance metrics with noncompliance and incidents in 2017, 27 facilities were identified to be at risk. These 27 facilities at risk, while constituting only 25% of all facilities, contributed to 70% ± 25% ( M ± SD; range = 32%-100%) of all reported
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Foote, Mike. "Temporal variation in extinction risk and temporal scaling of extinction metrics." Paleobiology 20, no. 4 (1994): 424–44. http://dx.doi.org/10.1017/s0094837300012914.

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Many areas of paleobiological research require reliable extinction metrics. Branching-and-extinction simulations and data on Phanerozoic marine families and genera are used to investigate the relationship between interval length and commonly used extinction metrics. Normalization of extinction metrics for interval length is problematic, even when interval length is known without error, because normalization implicitly assumes some model of variation in extinction risk within an interval. If extinction risk within an interval were constant, or if it varied but played no role in the definition o
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Hu, Jianhui, Amy J. H. Kind, and David Nerenz. "Area Deprivation Index Predicts Readmission Risk at an Urban Teaching Hospital." American Journal of Medical Quality 33, no. 5 (2018): 493–501. http://dx.doi.org/10.1177/1062860617753063.

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A growing body of evidence has shown that neighborhood characteristics have significant effects on quality metrics that evaluate health plans or health care providers. Using a data set of an urban teaching hospital patient discharges, this study aimed to determine whether a significant effect of neighborhood characteristics, measured by the Area Deprivation Index, could be observed on patients’ readmission risk, independent of patient-level clinical and demographic factors. This study found that patients residing in more disadvantaged neighborhoods had significantly higher 30-day readmission r
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Devaraj, Susan M., Bonny Rockette-Wagner, Rachel G. Miller, et al. "The Impact of a Yearlong Diabetes Prevention Program-Based Lifestyle Intervention on Cardiovascular Health Metrics." Journal of Primary Care & Community Health 12 (January 2021): 215013272110298. http://dx.doi.org/10.1177/21501327211029816.

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Introduction The American Heart Association created “Life’s Simple Seven” metrics to estimate progress toward improving US cardiovascular health in a standardized manner. Given the widespread use of federally funded Diabetes Prevention Program (DPP)-based lifestyle interventions such as the Group Lifestyle Balance (DPP-GLB), evaluation of change in health metrics within such a program is of national interest. This study examined change in cardiovascular health metric scores during the course of a yearlong DPP-GLB intervention. Methods Data were combined from 2 similar randomized trials offerin
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Rosenthal, Susan, Stefani Russo, Katherine Berg, et al. "Identifying Students at Risk of Failing the USMLE Step 2 Clinical Skills Examination." Family Medicine 51, no. 6 (2019): 483–99. http://dx.doi.org/10.22454/fammed.2019.429968.

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Background and Objectives: New standards announced in 2017 could increase the failure rate for Step 2 Clinical Skills (CS). The purpose of this study was to identify student performance metrics associated with risk of failing. Methods: Data for 1,041 graduates of one medical school from 2014 through 2017 were analyzed, including 30 (2.9%) failures. Metrics included Medical College Admission Test, United States Medical Licensing Examination Step 1, and clerkship National Board of Medical Examiners (NBME) Subject Examination scores; faculty ratings in six clerkships; and scores on an objective s
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Chang, Ching-Pao. "Software Risk Modeling by Clustering Project Metrics." International Journal of Software Engineering and Knowledge Engineering 25, no. 06 (2015): 1053–76. http://dx.doi.org/10.1142/s0218194015500175.

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Together with the development and integration of software technologies, an increase in the complexity of the software development environment has made identifying software risks challenging. Identifying software risks, which is a critical activity in project management, is challenging because numerous factors may affect software projects. In this paper, an approach to identify software-risk items is proposed in which data collected from past software projects are mined to construct software-risk models. The prediction models obtained can be used to identify potential software risks for subsequ
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Dissertations / Theses on the topic "At-risk metrics"

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Zhang, Tianfang. "Direct optimization of dose-volume histogram metrics in intensity modulated radiation therapy treatment planning." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231548.

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In optimization of intensity-modulated radiation therapy treatment plans, dose-volumehistogram (DVH) functions are often used as objective functions to minimize the violationof dose-volume criteria. Neither DVH functions nor dose-volume criteria, however,are ideal for gradient-based optimization as the former are not continuously differentiableand the latter are discontinuous functions of dose, apart from both beingnonconvex. In particular, DVH functions often work poorly when used in constraintsdue to their being identically zero when feasible and having vanishing gradients on theboundary of
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Dan, Gorton. "Aspects of Modeling Fraud Prevention of Online Financial Services." Doctoral thesis, KTH, Transportvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176298.

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Banking and online financial services are part of our critical infrastructure. As such, they comprise an Achilles heel in society and need to be protected accordingly. The last ten years have seen a steady shift from traditional show-off hacking towards cybercrime with great economic consequences for society. The different threats against online services are getting worse, and risk management with respect to denial-of-service attacks, phishing, and banking Trojans is now part of the agenda of most financial institutions. This trend is overseen by responsible authorities who step up their minim
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Romão, Joana Pinheiro. "Análise de acontecimentos que resultaram em perdas superiores ao VAR estimado para empresas do setor do retalho e das telecomunicações em Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/19068.

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Mestrado em Econometria Aplicada e Previsão<br>O objetivo desta dissertação é quantificar o Value at Risk, calculado a partir de diferentes modelos econométricos GARCH e do modelo Risk Metrics, utilizando previsões da volatilidade a 1 passo, para as empresas Jerónimo Martins, SONAE, NOS e Pharol, presentes no Índice da Bolsa de Valores de Lisboa, de forma a verificar quando é que esta métrica foi ultrapassada pelas desvalorizações dos preços das ações das cotadas procurando destacar, neste trabalho, o "porquê" dos retornos serem de tal modo negativos que até ultrapassaram o VaR. A análise foca
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Löhndorf, Nils. "An empirical analysis of scenario generation methods for stochastic optimization." Elsevier, 2016. http://dx.doi.org/10.1016/j.ejor.2016.05.021.

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This work presents an empirical analysis of popular scenario generation methods for stochastic optimization, including quasi-Monte Carlo, moment matching, and methods based on probability metrics, as well as a new method referred to as Voronoi cell sampling. Solution quality is assessed by measuring the error that arises from using scenarios to solve a multi-dimensional newsvendor problem, for which analytical solutions are available. In addition to the expected value, the work also studies scenario quality when minimizing the expected shortfall using the conditional value-at-risk. To quickly
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Giamattey, Ricardo Henrique Dionisio. "Gestão estratégica de riscos de um ativo de produção de petróleo: uma abordagem quantitativa." reponame:Repositório Institucional do FGV, 2011. http://hdl.handle.net/10438/8514.

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Submitted by Ricardo Giamattey (ricardogiamattey@gmail.com) on 2011-07-11T17:58:15Z No. of bitstreams: 2 Dissertação Ricardo Giamattey - final.pdf: 393111 bytes, checksum: cc55efccb9f0eadf9d87b4fef44bc1cd (MD5) Dissertação Ricardo Giamattey - folhas iniciais.pdf: 15339 bytes, checksum: c4d1f3f0aac6864b25286b74f01045c0 (MD5)<br>Rejected by Vitor Souza (vitor.souza@fgv.br), reason: Estamos reijeitando por seguintes motivos: i) você deve transformar os dois arquivos em um arquivo. ii)estão pendentes as palavras-chave e keywords. on 2011-07-11T19:22:14Z (GMT)<br>Submitted by Ricardo
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Huzzey, Juliana Mae. "Pre-partum behaviour and intake identify dairy cows at risk for post-partum metritis." Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/32836.

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Metritis is a disease of particular concern after calving due to its negative effects on the reproductive performance of dairy cows. Previous work has shown that cows at risk for post-partum metritis have lower feeding times in the days before calving. However, the authors did not monitor individual dry matter intake (DMI), a measure that may be more sensitive in the detection of illness, or other behavioural or intake measures such as drinking or social behaviour that may prove to be useful predictors of disease. The objective of this study was to determine which pre-partum measures are
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Perone, Sammy. "Using dynamic neural fields to understand the development of metric representations in typically developing and at-risk infant populations." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/872.

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During the past half-century, the experimental use of looking measures have led to many new discoveries about the origins of cognition. Across the first year, infants' looking changes in predictable ways, they form memories more quickly, and they begin to discriminate between subtly different stimuli. However, a rich understanding of the link between looking and cognitive dynamics has yet to be achieved. This was the overarching goal of this thesis. I developed a new Dynamic Field Theory of infant looking and memory and formally implemented this theory in a Dynamic Neural Field model. In Exper
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Urton, Geoffrey D. G. "Feeding behaviour identifies dairy cows at risk for metritis." Thesis, 2005. http://hdl.handle.net/2429/16805.

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Dairy cows experience a high incidence of disease in the weeks immediately after calving, but early and accurate diagnosis remains a challenge. Cows suffering from metritis, one common disease after calving, exhibit reduced milk yield and reproductive performance. However, afflicted cows show few overt signs of illness and frequently go unnoticed in the absence of veterinary examination. To determine if changes in feeding behaviour could be used in the identification of animals at risk for metritis, attendance at the feed alley was monitored continuously for 26 Holstein cows during the t
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Books on the topic "At-risk metrics"

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Barkley, Thomas. Energy Risk Management. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656010.003.0024.

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The backdrop of rapid growth of worldwide energy consumption and increasing concerns about global energy sustainability and environment protection, as well as an increasing uncertainty of commodity prices, require energy companies to use derivatives to hedge against risks related to energy trading. Over time, this situation has led to a more important role for energy risk management as part of a company’s core business operation. This chapter discusses the primary financial instruments used in the energy sector and risk management for energy companies. It reviews the application of several imp
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Monitoring Climate Change Impacts: Metrics at the Intersection of the Human and Earth Systems. National Academies Press, 2010.

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Till, Hilary. Commodity Trading Strategies, Common Mistakes, and Catastrophic Blowups. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656010.003.0020.

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Becoming an expert in the commodity markets has traditionally required a novice to seek an apprenticeship at an established commodity firm. This chapter provides an alternative approach: a reader is provided a reasonably comprehensive tour of the always dynamic and frequently opaque commodity markets, including views on (1) commodity trading strategies, (2) common mistakes, and (3) catastrophic blowups. The specific commodity trading strategies covered are trend-following and calendar spreads. The common mistakes that the chapter includes are (1) targeting returns rather than risk metrics, (2)
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Book chapters on the topic "At-risk metrics"

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Kopytin, I., A. Maslennikov, and S. Zhukov. "What Value-at-Risk and Expected Shortfall Metrics Tell a Risk Averse Investor in Cryptocurrencies." In Smart Technologies and Innovations in Design for Control of Technological Processes and Objects: Economy and Production. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18553-4_50.

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Akeh, Ugbah Paul, Steve Woolnough, and Olumide A. Olaniyan. "ECMWF Subseasonal to Seasonal Precipitation Forecast for Use as a Climate Adaptation Tool Over Nigeria." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_97.

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AbstractFarmers in most parts of Africa and Asia still practice subsistence farming which relies minly on seasonal rainfall for Agricultural production. A timely and accurate prediction of the rainfall onset, cessation, expected rainfall amount, and its intra-seasonal variability is very likely to reduce losses and risk of extreme weather as well as maximize agricultural output to ensure food security.Based on this, a study was carried out to evaluate the performance of the European Centre for Medium-range Weather Forecast (ECMWF) numerical Weather Prediction Model and its Subseasonal to Seasonal (S2S) precipitation forecast to ascertain its usefulness as a climate change adaptation tool over Nigeria. Observed daily and monthly CHIRPS reanalysis precipitation amount and the ECMWF subseasonal weekly precipitation forecast data for the period 1995–2015 was used. The forecast and observed precipitation were analyzed from May to September while El Nino and La Nina years were identified using the Oceanic Nino Index. Skill of the forecast was determined from standard metrics: Bias, Root Mean Square Error (RMSE), and Anomaly Correlation Coefficient (ACC).The Bias, RMSE, and ACC scores reveal that the ECMWF model is capable of predicting precipitation over Southern Nigeria, with the best skill at one week lead time and poorest skills at lead time of 4 weeks. Results also show that the model is more reliable during El Nino years than La-Nina. However, some improvement in the model by ECMWF can give better results and make this tool a more dependable tool for disaster risk preparedness, reduction and prevention of possible damages and losses from extreme rainfall during the wet season, thus enhancing climate change adaptation.
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"Average Value-at-Risk." In A Probability Metrics Approach to Financial Risk Measures. Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444392715.ch6.

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Dua, Rimsy, Samiksha Sharma, and Rohit Kumar. "Risk Management Metrics." In Analyzing the Role of Risk Mitigation and Monitoring in Software Development. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-6029-6.ch002.

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This chapter describes how risk management deals with the detection, the evaluation and the precedence of the risks in the process of project management. There is always an uncertainty factor related to the decisions of an investment while managing a project. Risk management is a proactive approach to deal with such future events that can lead to slow performance of the software project management. For successful risk management; there are different metrics that have been used in the past and are being getting used in the present for inspecting the progress of a project at specific points in a timeline that help in reducing the amount of risk. For the adoption of effective metrics for risk management, data is required. All of the metrics can be applied to the different domains of project, process and product. The chapter also covers strategies to advance, distinguish, estimate, and forecast the risk management process. A review of the key point indicators (KPIs) are also integrated along with the project metrics to signify the future and the present renderings.
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Watkins, Lanier, and John S. Hurley. "The Next Generation of Scientific-Based Risk Metrics." In Cyber Warfare and Terrorism. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2466-4.ch099.

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One of the major challenges to an organization achieving a certain level of preparedness to “effectively” combat existing and future cyber threats and vulnerabilities is its ability to ensure the security and reliability of its networks. Most of the existing efforts are quantitative, by nature, and limited solely to the networks and systems of the organization. It would be unfair to not acknowledge that for sure some progress has been achieved in the way that organizations, as a whole, are now positioning themselves to address the threats (GAO 2012). Unfortunately, so have the skill sets and resource levels improved for attackers--they are increasingly getting better at achieving the unwanted access to organizations' information assets. In large part the authors believe that some of this is due to the failure by methods to assess the overall vulnerability of the networks. In addition, significant levels of threats and vulnerabilities beyond organizations' networks and systems are not being given the level of attention that is warranted. In this paper, the authors propose a more comprehensive approach that enables an organization to more realistically assess its “cyber maturity” level in hope of better positioning itself to address existing and new cyber threats. The authors also propose the need to better understand another missing critical piece to the puzzle--the reliability and security of networks in terms of scientific risk-based metrics (e.g., the severity of individual vulnerabilities and overall vulnerability of the network). Their risk-based metrics focus on the probability of compromise due to a given vulnerability; employee non-adherence to company cyber-based policies; insider threats. They are: (1) built on the CVSS Base Score which is modified by developing weights derived from the Analytic Hierarchy Process (AHP) to make the overall score more representative of the impact the vulnerability has on the global infrastructure, and (2) rooted in repeatable quantitative characteristics (i.e., vulnerabilities) such as the sum of the probabilities that devices will be compromised via client-side or server-side attacks stemming from software or hardware vulnerabilities. The authors will demonstrate the feasibility of their method by applying their approach to a case study and highlighting the benefits and impediments which result.
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Chatzipoulidis, Aristeidis, Dimitrios Michalopoulos, and Ioannis Mavridis. "Managing Enterprise IT Risks through Automated Security Metrics." In Advances in Business Information Systems and Analytics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8841-4.ch012.

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Information systems of modern enterprises are quite complex entities. This fact has influenced the overall information technology (IT) risk profile of the enterprise and it has become all the more critical now to have sound information systems that can maximize business performance of an enterprise. At this point, the practical challenge for enterprises is how to manage enterprise IT risks for persistent protection of business and security goals. This chapter covers different aspects of managing enterprise IT risks, providing solutions in terms of risk management methods, automated security metrics and vulnerability scoring methods. The purpose is to introduce an in-depth study on enterprise IT risks and add value to enterprise sustainability through an extensive analysis of methods and automated security specifications.
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Waters, Christian T. "Biology and Management of Inland Striped Bass and Hybrid Striped Bass." In Biology and Management of Inland Striped Bass and Hybrid Striped Bass, edited by Brian J. McRae, James S. Bulak, and Barbara E. Taylor. American Fisheries Society, 2013. http://dx.doi.org/10.47886/9781934874363.ch15.

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&lt;em&gt;Abstract&lt;/em&gt;.—Gill nets are commonly used to evaluate recreational and commercial striped bass &lt;em&gt;Morone saxatilis&lt;/em&gt; fisheries. Using historical gill-net data for striped bass from four southeastern reservoirs, we fitted selection curves to evaluate size selectivity of the nets, assessed the effect of net selectivity on stock assessment metrics, defined the variability associated with two commonly used survey metrics, catch per unit effort (CPUE) and length at age, and evaluated the likelihood of observing a true change in these metrics between two time periods. Selection curves fitted to data from an experimental gill net with bar mesh sizes of 25, 38, 51, 64, and 76 mm indicated that the net was most efficient at capturing striped bass around 600 mm in length; efficiency of the net declined sharply for fish less than 300 mm in length. Adjusting catch data for net selectivity did not have a significant effect on either mortality rates from age 1 to age 3 or mean length at age. Variability associated with length-at-age data was relatively small while variability in CPUE data was relatively large. We found that historical sample sizes of age-1 and age-2 striped bass would be adequate to detect changes in mean length at age as small as 15 mm between two 5-year periods with a power of 0.8. However, in most instances, the historical number of net sets per year needed to be substantially increased to detect either a 30% or 50% change in CPUE between the two periods with a power of 0.8. In three of the four reservoirs, the historical number of nets set per year was sufficient to detect a 100% change in CPUE between the two periods with a power greater than 0.8. Variance associated with abundance-based metrics will generally be more difficult to overcome than that associated with fish-specific data or cohort-specific data, such as mean length at age. We suggest that managers carefully evaluate the population-specific variability associated with the metrics of interest and consider the acceptable level of risk for failing to detect a change.
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Liyanage, Shantha Indrajith Hikkaduwa, Fulufhelo Godfrey Netswera, Shivajyoti Pal, and Isaac Nthomola. "Creation of Financial and Environmental Values With Solar Photovoltaic Projects While Managing Risks." In Research Anthology on Clean Energy Management and Solutions. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9152-9.ch031.

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This study investigates 200 kWp roof-mounted solar photovoltaic system in a country where there is no legal, policy, and institutional framework to de-risk the solar energy market but present naturally conducive environment in the sun-drenched semi-arid country. The analysis of quantitative and qualitative data subject to interpretivist and positivist approaches paves the way to find out that the university, though created financial and environments values, has not addressed the risk associated with illiquid capital intensive investment and conventional financial metrics such as net present value, internal rate of return. Hence, it is recommended to manage the risk with four strategies including maintaining economic value added at 5% or more, leveraging the investment, and withdrawing a part of equity for reinvesting in diversified investment. The findings are significant for low carbon investors to identify opportunities and manage the risk in solar energy market. Energy engineers enable designing a system that meets the fundamentals of the business and environmental value.
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Ulijaszek, Stanley. "Reporting statistics on undernutrition and obesity." In The Anthropological Demography of Health. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862437.003.0008.

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The epidemiologies of undernutrition and obesity are conducted using standardized metrics in very regulated ways. Bodies are physical entities with economic, social, and medical correlates, and the standardization of bodily measures of undernutrition and obesity have political and economic implications. Most recently, their use has been mostly as proxies for health and mortality risk. This chapter describes the now historical process of bodily standardization through public health anthropometry at both extremes of body size, and examines how public health reporting of undernutrition and obesity informs the discourse of both of them at governmental level, once such measures are given the status of national statistics.
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Thornton, Raymond H. "Radiation Safety." In Interventional Radiology, edited by Bradley B. Pua, Anne M. Covey, and David C. Madoff. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190276249.003.0006.

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Resist the temptation to gloss over this chapter—it discusses the risks and safest uses of ionizing radiation utilized by interventional radiologists during medical procedures every day. The metrics used to measure and report fluoroscopic and computed tomography (CT) doses to patients (information required to be reported by the Joint Commission) are discussed. Detrimental effects of radiation, including stochastic effects (i.e., adverse effects that may occur at any dose) and deterministic effects (which occur when a threshold has been exceeded), are reviewed, as are the data that the risk of stochastic effects is based upon. Finally, techniques that operators should practice during every procedure to minimize radiation dosage, summarized by the acronym I SAVE DOSE, are introduced and presented in detail.
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Conference papers on the topic "At-risk metrics"

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Schreiner, A., G. Balzer, A. Precht, and G. Balzer. "Risk assessment of distribution system: real case application of value at risk metrics." In 20th International Conference and Exhibition on Electricity Distribution (CIRED 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1033.

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Esterman, Marcos, and Kosuke Ishii. "Concurrent Product Development Across the Supply Chain: Development of Integrator/Supplier Risk and Coupling Indices." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dfm-21192.

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Abstract This paper develops the fundamental requirements, definitions and metrics that will serve as a foundation for a method to aid in concurrent product development (CPD) across the supply chain. A case study at HP validated nine sources of CPD uncertainty and identified four new important ideas that led to five key requirements for CPD across the supply chain. The concepts of degree of design customization and degree of coupling are introduced as a framework by which to evaluate the risk introduced into the product development process by suppliers. The engineering metric supplier coupling
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Niemeyer, Jonathan K., and Daniel E. Whitney. "Risk Reduction of Jet Engine Product Development Using Technology Readiness Metrics." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dtm-34000.

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This paper looks at the product development process as an exercise in risk reduction and performs a critical analysis of how gas turbine engine manufacturers weigh the competing risks associated with on-time delivery, product quality, and development costs. Three frameworks are used to focus the analysis: • Iteration by using multiple attempts to converge to an acceptable solution. • Maintaining options in development, and delaying convergence to a single design. • Improving the organization’s predictive capability prior to committing to a particular set of performance goals, designs, or techn
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Konell, Jeremiah P., Jack Van Schenck, Joseph P. Bratton, and Steven J. Polasik. "Practical IMP Performance Metrics." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64528.

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Annually or as events occur, operators submit data to various regulatory agencies about the operation, maintenance and extent of their assets. Many of these figures are used by the public, non-profit organizations and private companies to independently conduct assessments about operators, ranging from safety to quality assurance to scope and nature of product deliveries. The Pipeline Hazardous Materials Safety Administration (PHMSA), the National Energy Board (NEB), and other industry organizations have recently put an emphasis on more meaningful metrics by releasing guidelines and leading dis
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Tucker, Julie, Mary Ernesti, and Akira Tokuhiro. "Quantifying the Metrics That Characterize Safety Culture of Three Engineered Systems." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22146.

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With potential energy shortages and increasing electricity demand, the nuclear energy option is being reconsidered in the United States. Public opinion will have a considerable voice in policy decisions that will “roadmap” the future of nuclear energy in this country. This report is an extension of the last author’s work on the “safety culture” associated with three engineered systems (automobiles, commercial airplanes, and nuclear power plants) in Japan and the United States. Safety culture, in brief is defined as a specifically developed culture based on societal and individual interpretatio
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Shahidi, Parham, Reza A. Soltan, Steve C. Southward, and Mehdi Ahmadian. "Estimating Changes in Speech Metrics Indicative of Fatigue Levels." In ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42010.

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In this paper, we are presenting a novel approach to estimate fatigue levels of train conductors, by analyzing the speech signal. An independent neural network joined with a Markov Model, will output the probability density, which illustrates the likelihood of the result of the first step to be accurate. Vigilance research has shown that, for most operators engaged in attention-intensive and monotonous tasks, retaining a constant level of alertness is almost impossible. Sleeping disorders, reduced hours of rest and disrupted circadian rhythms amplify this effect and lead to significantly incre
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Beck, Philip J., and Dennis Kovacs. "Earned Schedule and the Use of Schedule Execution Reporting Metrics." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78067.

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The traditional approach of managing project performance is with the use of Earned Value Management. There is a recent trend towards the expansion of traditional Earned Value Management practices to include the concept of Earned Schedule. Whereas Earned Value provides insight as to how the project is trending in relation to the plan by assessing cost and schedule variances, Earned Schedule focuses on the time element of schedule performance throughout the project execution phase. Earned Value, although very effective at providing visibility to cost performance, is not as transparent when it co
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Farkas, Steven E. "Selecting HLR and SR Standards for PRA Applications." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48598.

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This white paper provides guidance for mapping risk informed applications to PRA Scope and Technical Adequacy requirements. The discussion considers regulatory guidance contained in SRP 19.1 “Determining the Technical Adequacy of Probabilistic Risk Assessment Results for Risk Informed Activities” and supplements industry guidance on application mapping contained in Section 3 “Risk Assessment Application Process of the ASME Standard for the PRA for Nuclear Power Plant Applications,” of the ASME PRA Standard with Regulatory Guide 1.200 clarifications. The general processes identified in this pap
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Hamedifar, Hamed, and Herve Wilczynski. "Planning for Unknown in The New Age of Digital: A Paradigm for Offshore Oil and Gas Risk Assessment and Management." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31057-ms.

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Abstract Major Oil and Gas operators and service companies look to undertake large scale digital transformations aimed at producing integrated, connected, and intelligent enterprises. These transformations require accelerating the journey to the cloud to modernize the entire application portfolio. By transitioning to the cloud, firms enjoy improved data analytics which allow for evolution to next generation digital work environment. This shift, however, comes with workforce challenges. Employees in all categories and at most levels will require significant cross- and up-skilling to take full a
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Hein, Phyo Htet, Nate Voris, Jiaying Dai, and Beshoy W. Morkos. "Identifying Failure Modes and Effects Through Design for Assembly Analysis." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86314.

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Design for Assembly (DFA) time estimation method developed by G. Boothroyd and P. Dewhurst allows for estimating the assembly time of artifacts based on analysis of component features using handling and insertion tables by an assembler, who is assumed to assemble the artifact one-part-at-a-time. Using the tables, each component is assigned an assembly time which is based on the time required for the assembler to manipulate (handling time) and the time required for it to interface with the rest of the components (insertion time). Using this assembly time and the ideal assembly time (i.e. the ab
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Reports on the topic "At-risk metrics"

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García-Mantilla, Daniel. PLAC Network Best Practices Series: Target-Income Design of Incentives, Benchmark Portfolios and Performance Metrics for Pension Funds. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003599.

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In defined contribution systems, at the end of the accumulation phase the assets in the retirement account are exchanged for a pension. The conversion rate from assets to retirement income (which depends on the level of interest rates) is very volatile, and its variations constitute the main investment risk facing pension fund affiliates. In this sense, performance metrics, management fees and benchmark portfolios that focus on assets (and asset returns) and ignore the variations in the conversion rate, embed several problems: i. they send wrong signals to regulators, fund managers and workers
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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the n
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