Готові списки джерел за темами / Integrated Dynamic Decision Analysis

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Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Integrated Dynamic Decision Analysis"

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Wang, Jun, Xun Dou, Shizhen Wang, Zhen Wang, and Longzhang Zhao. "Integrated Energy Purchase-Sale Decision Making and Scheduling for Integrated Energy Service Provider Considering User Grading Dynamic Combination." E3S Web of Conferences 160 (2020): 02001. http://dx.doi.org/10.1051/e3sconf/202016002001.

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Анотація:
In an open energy market environment, energy retail competition is intensifying. integrated energy service provider (IEPS) with the right to operate regional integrated energy system. Under the requirement of distributed resource transaction access and scheduling security, how to integrate multi-level and multi-type user resources to participate in market operation, allocate resources within the region under its jurisdiction and improve the income of energy purchase and sale is the key for IESP to gain a favourable position in the market competition. Based on the operation framework of IESP including user grading and dynamic combination platform, integrate real-time dynamic combination of user resources into optimal scheduling, aiming at the operating economy of IEPS, an integrated energy purchase-sale decision making and scheduling method for IEPS considering user grading dynamic combination is proposed. Finally, an example is given to analysis through the regional integrated energy system with electric-gas-heat coupling. The results show that by reasonably combining users and scheduling distributed energy and adjustable load. The IESP can ensure the stable operation of the regional energy system, integrate and utilize decentralized resources to participate in the market, and maximize the economic benefits of energy purchase and sale.
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Holmberg, J., K. Hukki, L. Norros, U. Pulkkinen, and P. Pyy. "An integrated approach to human reliability analysis — decision analytic dynamic reliability model." Reliability Engineering & System Safety 65, no. 3 (September 1999): 239–50. http://dx.doi.org/10.1016/s0951-8320(99)00003-4.

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Shrivastava, Pooja, M. K. Verma, Meena Murmu, and Ishtiyaq Ahmad. "Multi Criteria Decision Analysis (MCDA) Framework for the Integrated Urban Water System." International Journal of Engineering & Technology 7, no. 3.6 (July 4, 2018): 290. http://dx.doi.org/10.14419/ijet.v7i3.6.15070.

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Over the past century urban water system of developed and developing cities are under increasing stress as water dearth. The estimation of possible solutions for water management in megacities requires the spatially distributed dynamic and grid-based replication of the evolution of public water infrastructure under consideration of changes (e.g. climate, global, environment, economy, and land-use). These simulations can be realized with the help of frameworks for integrated urban water system. The MCDA framework for integrated approaches of urban water system is characterized as single system (COMBINED SEWER SYSTEM) and entire system (WATER DISTRIBUTION, SEWER NETWORK etc.) investigation with consideration of decentralized system and spatial-temporal interactions and the dynamic feedback of population models to water infrastructure. Urban water system needs the frame work which will meet the sustainable needs of future. The present work identifies the best solutions for existing problems in urban water infrastructure while making interaction with stakeholders to reach sustainable framework for urban water management in this water dearth regions. This framework will provide new knowledge of sustainable integration system between the social and environmental issues.
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4

Cerreta, M., and P. De Toro. "Urbanization suitability maps: a dynamic spatial decision support system for sustainable land use." Earth System Dynamics 3, no. 2 (November 20, 2012): 157–71. http://dx.doi.org/10.5194/esd-3-157-2012.

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Abstract. Recent developments in land consumption assessment identify the need to implement integrated evaluation approaches, with particular attention to the development of multidimensional tools for guiding and managing sustainable land use. Land use policy decisions are implemented mostly through spatial planning and its related zoning. This involves trade-offs between many sectorial interests and conflicting challenges seeking win-win solutions. In order to identify a decision-making process for land use allocation, this paper proposes a methodological approach for developing a Dynamic Spatial Decision Support System (DSDSS), denominated Integrated Spatial Assessment (ISA), supported by Geographical Information Systems (GIS) combined with the Analytic Hierarchy Process (AHP). Through empirical investigation in an operative case study, an integrated evaluation approach implemented in a DSDSS helps produce "urbanization suitability maps" in which spatial analysis combined with multi-criteria evaluation methods proved to be useful for both facing the main issues relating to land consumption as well as minimizing environmental impacts of spatial planning.
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Cerreta, M., and P. De Toro. "Urbanization susceptibility maps: a dynamic spatial decision support system for sustainable land use." Earth System Dynamics Discussions 3, no. 2 (October 4, 2012): 1159–90. http://dx.doi.org/10.5194/esdd-3-1159-2012.

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Анотація:
Abstract. Recent developments in land consumption assessment identify the need to implement integrated evaluative approaches, with particular attention to the identification of multidimensional tools for guiding and managing sustainable land use. Policy decisions defining land use are mostly implemented through spatial planning and related zoning, and this involves trade-offs between many sectoral interests and conflicting challenges aimed at win-win solutions. In order to identify a decision-making process for land use allocation, the paper proposes a methodological approach for a Dynamic Spatial Decision Support System (DSDSS), named Integrated Spatial Assessment (ISA), supported by Geographical Information Systems (GIS) combined with Analytic Hierarchy Process (AHP). Through the empirical investigation in an operative case study, an integrated evaluative approach implemented in a DSDSS helps to elaborate "urbanization susceptibility maps", where spatial analysis combined with a multi-criteria method proved to be useful for facing the main issues related to land consumption and minimizing environmental impacts of spatial planning.
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6

Patten, Scott B., and Robert C. Lee. "Towards a dynamic description of major depression epidemiology." Epidemiologia e Psichiatria Sociale 13, no. 1 (March 2004): 21–28. http://dx.doi.org/10.1017/s1121189x00003201.

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SummaryAims – The substantial impact of major depression on population health is widely acknowledged. To date, health system responses to this condition have been largely shaped by observational findings. In the future, health policy decisions will benefit from an increasingly integrated and dynamic understanding of the epidemiology of this condition. Policy decisions can also be supported by the development of decision-support tools that can simulate the impact of alternative policy decisions on population health. Markov models are useful both in epidemiological modelling and in decision analysis. Methods – In this project, a Markov model describing major depression epidemiology was developed. The model employed a Markov Tunnel in order to depict the dependence of recovery probabilities on episode duration. Transition probabilities, including incidence, recovery and mortality were estimated from Canadian national survey data. Results – Episode incidence was approximately 3% per year. Recovery rates declined exponentially over time. The model predicted point prevalence at slightly less than 1%, agreeing closely with observed prevalence data. Conclusions – Epidemiological models describing the dynamic relationships between major depression incidence, prevalence, recovery and mortality can help to integrate available epidemiological data. Such models offer an attractive option for support of health policy decisions.Declaration of InterestAcknowledgement: Both authors are Research Fellows with the Institute of Health Economics (www.ihe.ab.ca). This study was supported by an operating grant from the Canadian Institutes of Health Research (www.cihr.ca).
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Leng, Yan, Qing Li, Yan Jiao Liang, Nai Hui Zhou, and Chun Ge Kou. "Multi-Criteria Decision Analysis: Beijing South Railway Station." Applied Mechanics and Materials 193-194 (August 2012): 876–81. http://dx.doi.org/10.4028/www.scientific.net/amm.193-194.876.

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Beijing South Railway Station is an integrated system, the evaluation of which should involve not only the inner transfer condition, but also the connection in the road network. To make a more comprehensive and scientific evaluation of the station, we select various criteria, including not only the static indicators, but also the dynamic indicators. Then we build a three-level hierarchy index structure to evaluate the performance of the inner and outside performance of Beijing South Railway Station. For the inner part, we apply Extension Theory to for evaluation. Then we use VISSIM to simulate the condition of the station in the road network.
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Lowe, Stephen P., and James N. Stanard. "An Integrated Dynamic Financial Analysis and Decision Support System for a Property Catastrophe Reinsurer." ASTIN Bulletin 27, no. 2 (November 1997): 339–71. http://dx.doi.org/10.2143/ast.27.2.542056.

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AbstractThis paper describes the dynamic financial analysis model currently being used by a property catastrophe reinsurer to manage its business. The model is-an integral part of the day-to-day operations at the Company, and is used as a decision making tool in the underwriting, investment, and capital management processes. The paper begins by describing the framework that the Company uses for risk management. This includes a classification of the risks facing the Company, which is used to define and prioritize their implementation in the model. Also included is a description of the conceptual approach the Company takes to evaluate the tradeoff between risk and return. The paper then goes on to describe the structure and operation of the dynamic financial analysis model and provides examples of its use at the Company, along with illustrative examples of the various types of output it produces.
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Pagel, Kymberleigh A., Rick Kim, Kyle Moad, Ben Busby, Lily Zheng, Collin Tokheim, Michael Ryan, and Rachel Karchin. "Integrated Informatics Analysis of Cancer-Related Variants." JCO Clinical Cancer Informatics, no. 4 (September 2020): 310–17. http://dx.doi.org/10.1200/cci.19.00132.

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PURPOSE The modern researcher is confronted with hundreds of published methods to interpret genetic variants. There are databases of genes and variants, phenotype-genotype relationships, algorithms that score and rank genes, and in silico variant effect prediction tools. Because variant prioritization is a multifactorial problem, a welcome development in the field has been the emergence of decision support frameworks, which make it easier to integrate multiple resources in an interactive environment. Current decision support frameworks are typically limited by closed proprietary architectures, access to a restricted set of tools, lack of customizability, Web dependencies that expose protected data, or limited scalability. METHODS We present the Open Custom Ranked Analysis of Variants Toolkit 1 (OpenCRAVAT) a new open-source, scalable decision support system for variant and gene prioritization. We have designed the resource catalog to be open and modular to maximize community and developer involvement, and as a result, the catalog is being actively developed and growing every month. Resources made available via the store are well suited for analysis of cancer, as well as Mendelian and complex diseases. RESULTS OpenCRAVAT offers both command-line utility and dynamic graphical user interface, allowing users to install with a single command, easily download tools from an extensive resource catalog, create customized pipelines, and explore results in a richly detailed viewing environment. We present several case studies to illustrate the design of custom workflows to prioritize genes and variants. CONCLUSION OpenCRAVAT is distinguished from similar tools by its capabilities to access and integrate an unprecedented amount of diverse data resources and computational prediction methods, which span germline, somatic, common, rare, coding, and noncoding variants.
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Chen, Jim Q. "A New Dynamic Cyber Defense Framework." International Journal of Cyber Warfare and Terrorism 7, no. 4 (October 2017): 14–22. http://dx.doi.org/10.4018/ijcwt.2017100102.

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Current approaches in cyber defense are flawed as they are fortress-based and generally static in nature. They are not flexible in dealing with variations of attacks, especially zero-day attacks. To address this issue, researchers have looked into dynamic cyber defense. However, the available approaches are either only about high-level strategies or only about specific tactics. There is no integrated approach that brings both levels together in a systematic way. This research article intends to address this challenge by proposing a new dynamic cyber defense framework that is systematic and cohesive, and that integrates strategic, operational, and tactical levels. It improves the research in dynamic cyber defense by employing game-changing elements such as a contextual analysis system and an intelligent decision-making system.
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Дисертації з теми "Integrated Dynamic Decision Analysis"

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Sen, Debayan. "A bi-level system dynamics modeling framework to evaluate costs and benefits of implementing Controller Pilot Data Link Communications and Decision Support Tools in a non-integrated and integrated scenario." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/41886.

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A modeling framework to evaluate the costs and benefits of implementation of Con-troller Pilot Data Link Communication (CPDLC), and Air Traffic Management (ATM) decision support tools is proposed in this paper. The benefit/cost evaluation is carried out for four key alternatives namely alternative A: Do nothing scenario (only voice channel), alternative B: Voice channel supplemented with CPDLC, alternative C: Alternative B with ATM tools in a non-integrated scenario and finally alternative D: Alternative B with ATM tools in an integrated scenario. It is a bi-level model that cap-tures the linkages between various technologies at a lower microscopic level using a daily microscopic model (DATSIM) and transfers the measures of effectives to a higher macroscopic level. DATSIM stands for Data Link and Air Traffic Technologies SIMulation and it simulates air traffic in the enroute sector and terminal airspace for a single day and captures the measures of effectiveness at a microscopic level and feeds its output to the macroscopic annual model which then runs over the entire life cycle of the system. Airspace dwell time benefit data from the microscopic model is regressed into three dimensional benefit surfaces as a function of the equipage level of aircraft and aircraft density and embedded into the macroscopic model. The main function of the annual model is to ascertain economic viability of any deployment schedule or alternative over the entire life cycle of the system. The life cycle cost model is com-posed of four modules namely: Operational benefits module, Safety benefit module,Technology cost module and Training cost module. Analysis using the model showed that an enroute sector gets congested at aircraft den-sities greater 630 per day. This is mainly because the controller workload gets satu-rated at that traffic volume per day. Benefits realized in alternatives B, C and D as compared to alternative A increased exponentially at traffic densities greater than 630 i.e. when controller workload for alternative A becomes saturated.
Master of Science
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Roach, Jesse. "Integrated Surface Water Groundwater Modeling in the Upper Rio Grande in Support of Scenario Analysis." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/194466.

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New and growing demands to finite and fully allocated water resources in the semi-arid southwestern United States mean that existing water resources must be managed with increasing efficiency to minimize shortages and associated social conflict. Computer based simulations can provide a powerful tool to aid in policy related decisions. This dissertation describes the development of a simulation model of the Rio Grande surface water and groundwater system for use in scenario evaluation. The primary model goal is to integrate cross disciplinary science at a basin scale, and make it easily accessible to a wide range of stakeholders. To achieve this at a river basin scale, three existing groundwater models and one surface water model were simplified and combined in a system dynamics framework using the commercial software package Powersim Studio 2005. To this physical model, a simple human behavioral model and user interface was added. The resulting scenario evaluation tool runs 40 year simulations on a laptop computer in tens of seconds, with inputs that are easily changed by non-expert users via a graphic, user friendly interface.
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Leong, Tze-Yun. "An integrated approach to dynamic decision making under uncertainty." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/36496.

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Menicou, Michalis. "Modelling the decision architecture of manufacturing systems : the decision analysis - GRAI integrated technique." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251225.

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Suhendra. "Integrated improvement of distillation unit using multicriteria decision making analysis." [S.l.] : [s.n.], 2007. http://se6.kobv.de:8000/btu/volltexte/2007/170.

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Samakovitis, Georgios. "Technology investment decision making : an integrated analysis in UK Internet banking." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/25148.

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The research addresses the problem of technological investment decision making (TIDM) in UK Banks. It focuses on Internet banking technologies and uses interviews with bank executives and industry practitioners to form a coherent understanding of how technological decisions are practically made and what, in that process, is the role of evaluation techniques. Aims are (1) to identify and explain the discord between formal and practical evaluations of technologies, (2) to review the role of expert professional groups in defining the norms of evaluation, and (3) to develop a model to reflect the reality of TIDM in UK banking. The ultimate aim is to contribute to reducing the ambiguity that notoriously characterises the evaluation of new technology. According to the theoretical framework the TIDM problem is socially constructed by expert groups (actors) who either participate in decision-making or assume roles in developing methodologies for facilitating it. Its ultimate shape is the outcome of negotiations between these viewpoints, in light of expert power positions and political advocacy. Three classes of such “actors” are identified: (1) Practitioners, namely experts in Financial Institutions, (2) Observers, academic researchers, consultants and government bodies, and (3) the Community of Received Wisdom, comprising the commonly understood views on what TIDM is and how it should be made. A novel methodological approach, Informed Grounded Theory (IGT), proposes that viewpoints are by default informed by individuals’ academic and professional training; thus, past theory should not be considered as a contaminating factor for the data and their interpretation, but as integral part of it. Key findings concern (1) the unconventional usage of financial and other formal methodologies in TIDM practice, (2) the highly political role of dominant expert groups and the resulting dynamics of their development, (3) the influence of the wider economic cycles on how technological value is perceived and (4) the changing role of the Finance function in technological investment justification. The core conclusion is that TIDM in UK banks is an act of justification and advocacy, far more than it is an assessment process; valuation techniques play an ancillary role in ascertaining views often founded on purely strategic or political grounds.
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Alafifi, Ayman H. "Integrated Systems Modeling to Improve Watershed Habitat Management and Decision Making." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/6970.

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Regulated rivers provide opportunities to improve habitat quality by managing the times, locations, and magnitudes of reservoir releases and diversions across the watershed. To identify these opportunities, managers select priority species and determine when, where, and how to allocate water between competing human and environmental users in the basin. Systems models have been used to recommend allocation of water between species. However, many models consider species’ water needs as constraints on instream flow that is managed to maximize human beneficial uses. Many models also incorporate uncertainty in the system and report an overwhelmingly large number of management alternatives. This dissertation presents three new novel models to recommend the allocation of water and money to improve habitat quality. The new models also facilitate communicating model results to managers and to the public. First, a new measurable and observable habitat metric quantifies habitat area and quality for priority aquatic, floodplain, and wetland habitat species. The metric is embedded in a systems model as an ecological objective to maximize. The systems model helps managers to identify times and locations at which to apply scarce water to most improve habitat area and quality for multiple competing species. Second, a cluster analysis approach is introduced to reduce large dimensional uncertainty problems in habitat models and focus management efforts on the important parameters to measure and monitor more carefully. The approach includes manager preferences in the search for clusters. It identifies a few, easy-to-interpret management options from a large multivariate space of possible alternatives. Third, an open-access web tool helps water resources modelers display model outputs on an interactive web map. The tool allows modelers to construct node-link networks on a web map and facilitates sharing and visualizing spatial and temporal model outputs. The dissertation applies all three studies to the Lower Bear River, Utah, to guide ongoing habitat conservation efforts, recommend water allocation strategies, and provide important insights on ways to improve overall habitat quality and area.
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Ferzli, Khalil Y. Carleton University Dissertation Engineering Civil and Environmental. "A Comprehensive integrated modelling framework for the optimization of transit operator workforce planning and management." Ottawa, 1992.

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9

Adnane, Alaoui M'Hamdi. "Modelling and analysis of consumer's multi-decision process : a new integrated stochastic modelling framework." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/9415.

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Interest in understanding Human Beings’ behaviour can be traced back to the early days of mankind. However, interest in consumer behaviour is relatively recent. In fact, it is only since the end of World War II and following economic prosperity of some nations (e.g., U.S.A.) that the world witnessed the rise of a new discipline in the early 1950s; namely, Marketing Research. By the end of the 1950s, academic papers on modelling and analysis of consumer behaviour started to appear (Ehrenberg, 1959; Frank, 1962). The purpose of this research is to propose an integrated decision framework for modelling consumer behaviour with respect to store incidence, category incidence, brand incidence, and size incidence. To the best of our knowledge, no published contribution integrates these decisions within the same modelling framework. In addition, the thesis proposes a new estimation method as well as a new segmentation method. These contributions aim at improving our understanding of consumer behaviour before and during consumers’ visits to the retail points of a distribution network, improving consumer behaviour prediction accuracy, and assisting with inventory management across distribution networks. The proposed modelling framework is hybrid in nature in that it uses both non-explanatory and explanatory models. To be more specific, it uses stochastic models; namely, probability distributions, to capture the intrinsic nature of consumers (i.e., inner or built-in behavioural features) as well as any unexplained similarities or differences (i.e., unobserved heterogeneity) in their intrinsic behaviour. In addition, the parameters of these probability distribution models could be estimated using explanatory models; namely, multiple regression models, such as logistic regression. Furthermore, the thesis proposes a piece-wise estimation procedure for estimating the parameters of the developed stochastic models. Also proposed is a three-step segmentation method based on the information provided by the quality of fit of stochastic models to consumer data so as to identify which model better predicts which market segments. In the empirical investigation, the proposed framework was used to study consumer behaviour with respect to individual alternatives of each decision, individual decisions, and all decisions. In addition, the proposed segmentation method was used to segment the panellists into infrequent users, light to medium users, and heavy users, on one hand, and split loyals, loyals, and hardcore loyals, on the other hand. Furthermore, the empirical evidence suggests that the proposed piece-wise estimation procedure outperforms the standard approach for all models and decision levels. Also, the empirical results revealed that the homogeneous MNL outperforms both the heterogeneous NMNL and DMNL when each one of these distributions is applied to all decisions, which suggests the relative homogeneity in consumer decision making at the aggregate or integrated decision level. Last, but not least, through the use of the proposed framework, the thesis sheds light on the importance of consumer choice sequence on the quality of predictions, which affects the quality of segmentation. The reader is referred to chapter 3 for details on these contributions.
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Loddo, Antonello. "Bayesian analysis of multivariate stochastic volatility and dynamic models." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4359.

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Анотація:
Thesis (Ph.D.)--University of Missouri-Columbia, 2006.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (April 26, 2007) Vita. Includes bibliographical references.
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Книги з теми "Integrated Dynamic Decision Analysis"

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International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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3

Decision analysis: An integrated approach. New York: Wiley, 1997.

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4

Dologa, Mircea. Integrated Pitchfork Analysis. New York: John Wiley & Sons, Ltd., 2009.

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5

Trzaskalik, Tadeusz. Multiobjective analysis in dynamic environment. Katowice: Karol Adamiecki University of Economics in Katowice, 1998.

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6

J, Stewart Theodor, ed. Multiple criteria decision analysis: An integrated approach. Boston: Kluwer Academic Publishers, 2002.

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7

Coppolino, Robert N. The Integrated Test Analysis Process for Structural Dynamic Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-79729-3.

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Patnaik, Surya N. Dynamic analysis with stress mode animation by the integrated force method. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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9

C, Spall James, ed. Bayesian analysis of time series and dynamic models. New York: Dekker, 1988.

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10

Dologa, Mircea. Integrated pitchfork analysis: Basic to intermediate level. Chichester, West Sussex, England: Wiley, 2008.

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Частини книг з теми "Integrated Dynamic Decision Analysis"

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Demichela, Micaela, and Norberto Piccinini. "Integrated Dynamic Decision Analysis (IDDA): an Advanced Tool for Risk Analysis." In Probabilistic Safety Assessment and Management, 2956–61. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_473.

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Nara, Atsushi, Xianfeng Yang, Sahar Ghanipoor Machiani, and Ming-Hsiang Tsou. "An Integrated Evacuation Decision Support System Framework with Social Perception Analysis and Dynamic Population Estimation." In Human Dynamics in Smart Cities, 89–112. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83010-6_6.

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Belton, Valerie, and Theodor J. Stewart. "An Integrated Approach to MCDA." In Multiple Criteria Decision Analysis, 331–43. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1495-4_11.

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Harbola, Shubhi, Martin Storz, and Volker Coors. "Augmented Reality for Windy Cities: 3D Visualization of Future Wind Nature Analysis in City Planning." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 241–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_15.

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AbstractEffective government management, convenient public services, and sustainable industrial development are achieved by the thorough utilization and management of green, renewable resources. The research and the study of meteorological data and its effect on devising renewable solutions as a replacement for nonrenewable ones is the motive of researchers and city planners. Sources of energy like wind and solar are free, green, and popularly being integrated into sustainable development and city planning to preserve environmental quality. Sensor networks have become a convenient tool for environmental monitoring. Wind energy generated through the use and maintenance of wind turbines requires knowledge of wind parameters such as speed and direction for proper maintenance. An augmented reality (AR) tool for interactive visualization and exploration of future wind nature analyses for experts is still missing. Existing solutions are limited to graphs, tabular data, two-dimensional space (2D) maps, globe view, and GIS tool designed for the desktop and not adapted with AR for easy, interactive mobile use. This work aims to provide a novel AR-based mobile supported application (App) that serves as a bridge between three-dimensional space (3D) temporal wind dataset visualization and predictive analysis through machine learning (ML). The proposed development is a dynamic application of AR supported with ML. It provides a user interactive designed approach, presenting a multilayered infrastructure process accessed through a mobile AR platform that supports 3D visualization of temporal wind data through future wind analysis. Thus, a novel AR visualization App with the prediction of wind nature using ML algorithms would provide city planners with advanced knowledge of wind conditions and help in easy decision-making with interactive 3D visualization.
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Balbás, A., P. Jiménez Guerra, and M. J. Muñoz Bouzo. "Measuring the Arbitrage Opportunities in an Intertemporal Dynamic Asset Pricing Model." In Applied Decision Analysis, 159–72. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-0759-6_13.

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Ramesh, Maneesha Vinodini, Hemalatha Thirugnanam, Balmukund Singh, M. Nitin Kumar, and Divya Pullarkatt. "Landslide Early Warning Systems: Requirements and Solutions for Disaster Risk Reduction—India." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 259–86. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_21.

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AbstractGlobally the prevalence of landslides has increased, impacting more than 4.8 million people between 1998 and 2017 and reported more than 18,000 casualties [UNDP]. The scenario has worsened dramatically, and it has become imperative to develop early warning systems to save human life. This demands the need for systems that could identify the potential of imminent landslides and disseminate the information related to landslide initiation in real-time. This would provide the opportunity to save lives. However, globally the research on reliable end-to-end systems for early warning of landslides is still in its nascent stage. Therefore, this paper explores in detail the requirements for developing systems for real-time monitoring, detection, and early warning of landslides. An integrated solution for building the real-time landslide monitoring and early warning system to provide community-scale disaster resilience is also proposed. This solution integrates multiple modules such as a heterogeneous sensor system, data storage and management, event detection framework, alert dissemination, and emergency communication system to address issues such as capturing dynamic variability, managing multi-scale voluminous datasets, extracting key triggering information regarding the onset of possible landslide, multilevel alert dissemination, and robust emergency communication among the stakeholders respectively. The paper also presents two case studies of real-time landslide early warning systems deployed in North-eastern Himalayas and Western Ghats of India. These case studies demonstrate the approaches utilized for risk assessment, risk analysis, risk evaluation, risk visualization, risk control, risk communication, and risk governance. The results from the deployed system in the case study areas demonstrate the capability of the IoT system to gather Spatio-temporal triggers for multiple types of landslides, detection and decision of specific scenarios, and the impact of real-time data on mitigating the imminent disaster.
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Haugen, S., and N. Edwin. "Dynamic risk analysis for operational decision support." In Risk, Reliability and Safety: Innovating Theory and Practice, 766–72. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-115.

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Coppolino, Robert N. "Measured Data Analysis." In The Integrated Test Analysis Process for Structural Dynamic Systems, 65–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-79729-3_4.

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Coppolino, Robert N. "Experimental Modal Analysis." In The Integrated Test Analysis Process for Structural Dynamic Systems, 85–106. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-79729-3_5.

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Hermann, Matthias, Natividad Martinez Madrid, and Ralf Seepold. "Detection of Variations in Holter ECG Recordings Based on Dynamic Cluster Analysis." In Intelligent Decision Technologies, 209–17. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19857-6_19.

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Тези доповідей конференцій з теми "Integrated Dynamic Decision Analysis"

1

Huang, Daning. "Applications of Gaussian Process Regression in the Aero-Thermo-Servo-Elastic Analysis Towards Integrated Hypersonic Flight Dynamic Analysis." In 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9683576.

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2

Lontos, M., M. Mazzini, and D. Mazzini. "Approaching Dynamic PSA Within CANDU 6 NPPs." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29473.

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The plant dynamics and the interactions of plant systems and operator with the random evolution of parameters led to the development of dynamic reliability methodologies. The present paper approaches a dynamic PSA methodology by making use of the thermal–hydraulic model of CANDU 6 reactor, implemented in RELAP5 Mod.3.3, and of IDDA code. IDDA (Integrated Dynamic Decision Analysis) is a software code that with the help of enhanced dynamic event tree methodology provides results in terms of system unavailability. The coupling of the two above mentioned codes allows a full representation of the plant operational states, as well as of all the possible occurrence patterns that complete the spectrum of possible probability-consequence conditions. The plant transient considered for the CANDU 6 thermal–hydraulic model is the total Loss of Feed Water (LOFW) supply to the secondary side of steam generators. That is followed by depletion of water inventory and subsequent cool down via Emergency Water System (EWS). The present dynamic PSA approach reveals those situations where the correct intervention of protective equipment could bring to unexpected events. This allows taking the most appropriate decisions for the given plant configuration.
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3

Hansen, Robert J., David L. Hall, G. William Nickerson, and Shashi Phoha. "Integrated Predictive Diagnostics: An Expanded View." In ASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-gt-034.

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In a previous paper (Hansen et al., 1995), a conceptual framework for developing a true prognostic or predictive diagnostic capability was described. The current paper expands on this framework by describing micro-mechanical and dynamic models, sensors and data fusion, signal processing, approximate reasoning, distributed architecture, and human factors research and development being conducted to provide such a capability for a broad range of applications. These include both autonomous and man-in-the-loop decision making about maintenance actions and local and geographically distributed monitoring and data analysis architectures.
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4

McCorkle, Douglas S., and Kenneth M. Bryden. "An Exploratory Framework for Combining CFD Analysis and Evolutionary Optimization Into a Single Integrated Computational Environment." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48866.

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Several recent reports and workshops have identified integrated computational engineering as an emerging technology with the potential to transform engineering design. The goal is to integrate geometric models, analyses, simulations, optimization and decision-making tools, and all other aspects of the engineering process into a shared, interactive computer-generated environment that facilitates multidisciplinary and collaborative engineering. While integrated computational engineering environments can be constructed from scratch with high-level programming languages, the complexity of these proposed environments makes this type of approach prohibitively slow and expensive. Rather, a high-level software framework is needed to provide the user with the capability to construct an application in an intuitive manner using existing models and engineering tools with minimal programming. In this paper, we present an exploratory open source software framework that can be used to integrate the geometric models, computational fluid dynamics (CFD), and optimization tools needed for shape optimization of complex systems. This framework is demonstrated using the multiphase flow analysis of a complete coal transport system for an 800 MW pulverized coal power station. The framework uses engineering objects and three-dimensional visualization to enable the user to interactively design and optimize the performance of the coal transport system.
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5

Antić, Ljilja, Bojana Novićević Čečević, and Jovana Milenović. "Measuring Company Performance Using the Integrated Indicator." In 6th International Scientific Conference – EMAN 2022 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/eman.s.p.2022.71.

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When assessing the company’s financial position and perfor­mance, we most often use financial indicators such as net income, rate of return on assets, rate of return on equity, cash flow and the like. However, dynamic business conditions have brought the need to use an integrated (composite) indicator, especially for a comparative long-term analysis of several companies. The composite indicator consists of individual indicators (variables) and allows for a comprehensive assessment of performance in order to get a full picture of the company’s business that all stakeholders can understand. The application of this indicator is possible at the national and international levels. Therefore, this paper aims to point out how perfor­mance measurement using a composite indicator facilitates the assessment of business operations, but also investors’ decision-making.
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6

Nithyanandam, K., and R. Pitchumani. "Techno-Economic Analysis of Concentrating Solar Power Plants With Integrated Latent Thermal Storage Systems." In ASME 2013 7th International Conference on Energy Sustainability collocated with the ASME 2013 Heat Transfer Summer Conference and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/es2013-18213.

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Integrating a thermal energy storage (TES) in a concentrating solar power (CSP) plant allows for continuous operation even during times when solar radiation is not available, thus providing a reliable output to the grid. In the present study, the cost and performance models of an encapsulated phase change material thermocline storage system are integrated with a CSP power tower system model to investigate its dynamic performance. The influence of design parameters of the storage system is studied for different solar multiples of the plant to establish design envelopes that satisfy the U.S. Department of Energy SunShot Initiative requirements, which include a round-trip exergetic efficiency greater than 95% and storage cost less than $15/kWht for a minimum discharge period of 6 hours. From the design windows, optimum designs of the storage system based on minimum LCOE, maximum exergetic efficiency, and maximum capacity factor are reported and compared with the results of two-tank molten salt storage system. Overall, this study presents the first effort to construct a latent thermal energy storage (LTES)-integrated CSP plant model, that can help decision makers in assessing the impact, cost and performance of a latent thermocline energy storage system on power generation from molten salt power tower CSP plant.
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Markell, Kyle C., Keith M. Brewer, and Michael R. von Spakovsky. "Exergy Methods Applied to the Integrated Mission-Level Analysis and Optimization of Hypersonic Vehicle Concepts." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42938.

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The results of the application of an exergy-based method to highly dynamic, integrated hypersonic vehicle concepts are presented. Conventional aircraft systems and sub-systems traditionally are designed relying heavily on rules of thumb, individual experience, and rather simple, non-integrated tradeoff analyses, which are highly dependent on the evolutionary nature of vehicle development. In contrast, hypersonic vehicles may contain new sub-systems and revolutionary concepts for which there is no existing database to support an evolutionary synthesis/design approach. Thus, a simple tradeoff analysis becomes virtually impossible, particularly in light of the highly integrated, non-linear relationship between hypersonic vehicle sub-systems and the complexity of the missions involved. Therefore, the departure from existing databases and experience levels requires an integrated approach and a common metric for the synthesis/design of hypersonic vehicles to achieve an optimal synthesis/design. To that end, an exergy-based mission integrated methodology is introduced and compared to traditional measures (including a non-integrated approach) by applying these to the synthesis/design and operational optimization of a hypersonic vehicle configuration comprised of an airframe and a propulsion sub-system (consisting of inlet, combustor, and nozzle components). Results of these optimizations are presented and include a quantification of all vehicle losses in terms of exergy lost or destroyed, providing a common metric for the vehicle designer to identify where the largest improvements in vehicle performance can be made. Furthermore, via a number of parametric studies, the impacts of the design and operational decision variables on exergy destruction are discussed.
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de Leoni, Massimiliano, Paolo Felli, and Marco Montali. "Strategy Synthesis for Data-Aware Dynamic Systems with Multiple Actors." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/32.

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The integrated modeling and analysis of dynamic systems and the data they manipulate has been long advocated, on the one hand, to understand how data and corresponding decisions affect the system execution, and on the other hand to capture how actions occurring in the systems operate over data. KR techniques proved successful in handling a variety of tasks over such integrated models, ranging from verification to online monitoring. In this paper, we consider a simple, yet relevant model for data-aware dynamic systems (DDSs), consisting of a finite-state control structure defining the executability of actions that manipulate a finite set of variables with an infinite domain. On top of this model, we consider a data-aware version of reactive synthesis, where execution strategies are built by guaranteeing the satisfaction of a desired linear temporal property that simultaneously accounts for the system dynamics and data evolution.
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Gupta, Himanshu, Beth Farmer, Samantha Large, Majda Balushi, Laila Saadi, Kamlesh Kumar, Carlos Alberto Moreno, et al. "Accelerating Hydrocarbon Maturation and Project Delivery by 30% with Digitalization - Standardizing on the Fly Analysis to Enable Informed Decision Making Using Petabytes of Petro Technical Data." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207711-ms.

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Abstract In recent years, with the steep drop and increased volatility in oil price, there is an urgency for making our field (re-development) plans more dynamic and efficient with faster payback and with particular emphasis on robustness against uncertainties. This paper describes a root cause analysis and a methodology to achieve up to ~30% improvement in field development planning project cycle and developing a better-integrated reservoir understanding. A comprehensive integrated analysis of available data is a key success criterion for robust decision-making. A detailed value stream mapping and a timeline analysis for data analysis in the hydrocarbon maturation process revealed that our process cycle efficiency is only 16% with a significant room for improvement. Any improvement can be directly translated to man-hour cost saving and acceleration of oil delivery. Effective use of technology and digitalization for knowledge management, standardized ways of working and easy access to historical data, analysis and diagnostics were identified as key focus areas to improve delivery. An innovative process and web based digital platform, iResDAT, is developed for accelerating data analysis. It mines from volumes of petro-technical databases and translates data into standardized diagnostics using latest data analytics and visualization technologies. It has already reduced dramatically the time to mine critical subsurface data and prepare required integrated diagnostics that are auditable and can be re-created in a few seconds. Based on the early pilot studies the cycle time reduction in the data analysis phase is close to 30% with improved quality and standardization of the integrated analysis. It has already transformed the ways of working where the subsurface discussion can happen across disciplines using a single platform that enforces early integration for reservoir understanding and associated uncertainty characterization. It is a web-based platform where the diagnostic dashboards are crowd sourced; sustained and enhanced by the business to ensure the relevance and sustainability with the Corporate Data Management and IT functions. It is a building block towards quality controlled and auditable data analysis and interpreted dataset, which may form the backbone for any advanced analytics in future to enable digitally enabled hydrocarbon maturation.
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Hill, Ramona. "Integrated Network Modelling to Accurately Predict Asset Performance and Evaluate Options." In SPE Canadian Energy Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212728-ms.

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Abstract Modern energy asset planning requires the synthesis of many multi-disciplinary inputs to translate reservoir data into coherent simulations and their associated economic forecasts for effective decision making. Utilizing a nodal network model to integrate well forecasts with the asset's operational considerations allows for improved accuracy of the simulations, better guidance and generation of insights that allow for subsequent optimization of plans and more effective capital allocation. A novel asset development planning workflow is presented which combines type curves with pad scheduling logic, surface flow constraints, costs, ownership, and price forecasts to model the cash flow of the asset through its full life. Flow capacities, costs, shrinkages, liquid yields, and carbon emissions are input at their representative nodes, enabling dynamic and accurate incremental evaluation. Existing base production and corporate type curve databases are leveraged to streamline the workflow, and several scenarios and sensitivities are examined. The novel workflow is compared against a more traditional method using average infrastructure costs and high level capacity assumptions. As a result of enabling more nuanced operational inputs, the nodal network was able to predictively simulate an asset's value within the given constraints and dynamically re-evaluate the full model after inputs were adjusted. For example, the model could automatically reroute production when a constraint was hit, then evaluate the liquid extraction and fee structure based on the new routing. Each iteration's production forecast included the latest base production, well forecasts, drilling schedule shifts, facility throughput constraints, shut-ins expected due to nearby scheduled fracs, third party offtake and fee structures, carbon emission costs, liquid extractions, and "take or pay" penalties. The outcome was a more accurate representation of incremental economics associated with development options, insight into potential optimizations, and improved quality of capital allocation decisions. In addition, the novel workflow was less cumbersome to manage than the traditional workflow. In the conventional process, obtaining accurate network inputs first requires assumption of the flow path. Any subsequent adjustment to the drilling schedule or type curve can change the production timing and routing, requiring the analysis to be manually redone. The traditional method of planning from the type well database alone does not allow a practical means of incorporating schedule and flow details, especially when the plan changes frequently or when considering multiple scenarios. The resulting forecast relies upon broad assumptions that may be materially incorrect in some cases, preventing optimization of planning decisions. Recent systems integrations allow sharing of data between tools which enables more powerful computational methods for improved forecasting and decision making.
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Звіти організацій з теми "Integrated Dynamic Decision Analysis"

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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and operational interdisciplinarity of that challenge, lies the simple formal elegance of a lingua franca for communication with Nature. This emerges from the innermost mathematical core of the Physics of Coevolutionary Complex Systems, articulating the wealth of insights and flavours from frontier natural, social and technical sciences in a coherent, integrated manner. Communicating thus with Nature, we equip ourselves with formal tools to better appreciate and discern complexity, by deciphering a synergistic codex underlying its emergence and dynamics. Thereby opening new pathways to see the “invisible” and predict the “unpredictable” – including relative to emergent non-recurrent phenomena such as irreversible transformations and extreme geophysical events in a changing climate. Frontier advances will be shared pertaining a dynamic that translates not only the formal, aesthetical and functional beauty of the Physics of Coevolutionary Complex Systems, but also enables and capacitates the analysis, modelling and decision support in crucial matters for the environment and society. By taking our emerging Physics in an optic of operational empowerment, some of our pioneering advances will be addressed such as the intelligence system Earth System Dynamic Intelligence and the Meteoceanics QITES Constellation, at the interface between frontier non-linear dynamics and emerging quantum technologies, to take the pulse of our planet, including in the detection and early warning of extreme geophysical events from Space.
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2

Edwards, Joshua S. Application Analysis and Decision with Dynamic Analysis. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada613977.

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Lee, A. K. Integrated dynamic modeling and management system mission analysis. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/10116419.

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Patil, Lalit, Lakshmi Srinivas, Krishna Murthy, Debasish Dutta, and Rachuri Sudarsan. Toward an Integrated Decision Support Framework for Sustainability Analysis. National Institute of Standards and Technology, April 2013. http://dx.doi.org/10.6028/nist.ir.7909.

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Kirkman, L. K., John K. Hiers A., L. L. Smith, L. M. Conner, S. L. Zeigler, M. Mack, J. R. Walters, and R. J. Mitchell. Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach. Fort Belvoir, VA: Defense Technical Information Center, June 2015. http://dx.doi.org/10.21236/ada626412.

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Kirkman, L. K., John K. Hiers, A. Barnett, L. L. Smith, L. M. Conner, S. L. Zeigler, M. Mack, J. R. Walters, and R. J. Mitchell. Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach. Fort Belvoir, VA: Defense Technical Information Center, June 2015. http://dx.doi.org/10.21236/ada626414.

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MALCZYNSKI, LEONARD A., WALTER E. BEYELER, STEPHEN H. CONRAD, DAVID B. HARRIS, PAUL E. REXROTH, and ARNOLD B. BAKER. Regional Dynamic Simulation Modeling and Analysis of Integrated Energy Futures. Office of Scientific and Technical Information (OSTI), November 2002. http://dx.doi.org/10.2172/809601.

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Li, Z., K. A. Majerus, R. C. Sundell, P. J. Sydelko, and M. C. Vogt. Integrated dynamic landscape analysis and modeling system (IDLAMS) : installation manual. Office of Scientific and Technical Information (OSTI), February 1999. http://dx.doi.org/10.2172/12048.

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Klaus, C. M., Z. Li, K. A. Majerus, R. C. Sundell, P. J. Sydelko, and M. C. Vogt. Integrated dynamic landscape analysis and modeling system (IDLAMS) : programmer's manual. Office of Scientific and Technical Information (OSTI), February 1999. http://dx.doi.org/10.2172/12049.

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Zhang, Jun. Sequential Analysis of Automatic Target Detection with Classification Algorithms and Optimality of Dynamic Decision Making Under Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada578207.

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