Готові списки джерел за темами / Decision-making management system

Добірка наукової літератури з теми "Decision-making management system"

Автор: Grafiati
Опубліковано: 14 березня 2023

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Зміст

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Decision-making management system".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Статті в журналах з теми "Decision-making management system"

1

Do, Myungsik. "Development of the Decision-Making System for National Highway Pavement Management." Journal of the Korean Society of Civil Engineers 34, no. 2 (2014): 645. http://dx.doi.org/10.12652/ksce.2014.34.2.0645.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

KOZLOVA, Valeria. "ECONOMIC DIAGNOSTICS IN THE SYSTEM OF INFORMATION SUPPORT FOR MANAGEMENT DECISION-MAKING." Herald of Khmelnytskyi National University. Economic sciences 312, no. 6(2) (December 29, 2022): 196–201. http://dx.doi.org/10.31891/2307-5740-2022-312-6(2)-33.

Повний текст джерела
Анотація:
The article updates the problem of the role, place and informative possibilities of economic diagnostics for making managerial decisions regarding the innovative development of the enterprise. A significant number of scientific publications of Ukrainian and foreign economists devoted to various aspects of managerial innovations were considered, and the need for a systematic search for ways of innovative transformation of managerial decision-making for the effective development of enterprises was revealed. Analytical models of managerial decision-making based on knowledge were analyzed, the necessity of using business analytics for multi-criteria decision-making was revealed. The factors of the impact of analytical information on the quality of management decisions regarding innovative development, technological improvement, productivity growth and value creation in the organizational environment are analyzed. The need to develop a system of information and analytical support for enterprise management using an analysis mechanism, the implementation of which is based on monitoring the achievement of predetermined evaluation criteria, is substantiated. The role of economic diagnostics in increasing the efficiency of management of the enterprise’s activities has been clarified. It is proposed to consider economic diagnostics as a leading element of the information support system of the management decision-making process, both to identify the causes of disagreements and to find factors for accelerating innovative transformations. The established diagnostic indicators of the system of innovative development of the enterprise are considered and the author’s approach to determining the factors of coordination is proposed. Thus, it was established that the use of economic diagnostics in the management of innovative development allows to increase the informative relevance for making conceptual management decisions.. Further research is proposed to focus on the development of methodological principles for the introduction of economic diagnostics into the system of management decision-making in operational, tactical and strategic directions.
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Zubovа, Lyudmila V., Eduard Viktorovich Korovin, Alexey Sergeevich Smirnov, Vladimir N. Kuzmin, and Andrey Valerievich Kurakov. "Development of Problem-Oriented Management and Decision-Making System and Optimization of Economic and Social Systems." Webology 18, SI05 (October 30, 2021): 436–51. http://dx.doi.org/10.14704/web/v18si05/web18239.

Повний текст джерела
Анотація:
The main goal of this study is to develop the theory of risk tolerance in task-oriented processes (using the example of enterprises engaged in research, development, and engineering), which is preceded by an analysis of scientific and methodological provisions for substantiating management decisions when developing promising space rocket technology under economic risks. The complexity of developing the theory of risk tolerance using the example of enterprises involved in the development of military and dual-use equipment lies in the multistructured evaluating system itself, justified by its multicomponent structure and large scale of topological complexity and logic of functioning in various modes and under different conditions, which leads to the need to divide it into a set of subsystems as moving substances in the process of task-oriented processes that have informational, methodological, and algorithmic commonality. That is accompanied by the decentralization of information processing in a structural parametric uncertainty. In this regard, in order to parameterize the uncertainty processes, the authors present a risk tolerance level assessment process diagram in task-oriented processes when developing military and dual-use equipment. Using the algorithm for determining the marginal cost of risk, marginal risk tolerance, and marginal risk level of an economic entity according to the method of L.V. Zubova, the work presents an approach of potentially dangerous risks (PDR) categorization of the financial and economic sphere and suggests ways to minimize risk, taking into account, if possible, risk rejection, determining the "cost of no action" in the face of uncertainty.
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Gibney, Lisa A., Scott E. Hansen, and Walter E. Wright, CEM. "Emergency management: Consequence management decision making." Journal of Emergency Management 2, no. 4 (October 1, 2004): 36. http://dx.doi.org/10.5055/jem.2004.0043.

Повний текст джерела
Анотація:
Emergency managers have a dilemma in deciding what to do when there is an emergency that affects their community. Those who have habitual hazards in their community are basically prepared. When a tornado is sighted in “tornado alley,” everyone knows what to do. When a hurricane is coming to shore along the Florida and Texas Gulf Coast, there are basic emergency steps to follow. But in this time of new and more challenging risks, we need a better system to coordinate community emergency decision making, no matter what the hazard. A simple solution is to adopt the four-level emergency event classification system that is already in use with communities with commercial nuclear power plants.
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Ada, Şükrü, and Mohsen Ghaffarzadeh. "Decision Making Based On Management Information System and Decision Support System." European Researcher 93, no. 4 (March 15, 2015): 260–69. http://dx.doi.org/10.13187/er.2015.93.260.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Balaban, Edward, Stephen B. Johnson, and Mykel J. Kochenderfer. "Unifying System Health Management and Automated Decision Making." Journal of Artificial Intelligence Research 65 (August 7, 2019): 487–518. http://dx.doi.org/10.1613/jair.1.11366.

Повний текст джерела
Анотація:
Health management of complex dynamic systems has evolved from simple automated alarms into a subfield of artificial intelligence with techniques for analyzing off-nominal conditions and generating responses. This evolution took place largely apart from the development of automated system control, planning, and scheduling (generally referred to in this work as decision making). While there have been efforts to establish an information exchange between system health management and decision making, successful practical implementations of integrated architectures remain limited. This article proposes that rather than being treated as connected yet distinct entities, system health management and decision making should be unified in their formulations. Enabled by advances in modeling and algorithms, we believe that a unified approach will increase systems' resilience to faults and improve their effectiveness. We overview the prevalent system health management methodology, illustrate its limitations through numerical examples, and describe a proposed unified approach. We then show how typical system health management concepts are accommodated in the proposed approach without loss of functionality or generality. A computational complexity analysis of the unified approach is also provided.
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Yu., Tararico, and Lukashuk V. "Intellectual decision-making technology in agricultural production." Artificial Intelligence 27, jai2022.27(1) (June 20, 2022): 219–28. http://dx.doi.org/10.15407/jai2022.01.219.

Повний текст джерела
Анотація:
Objective assessment of agro-resource potential of regions, understanding of the principles of forming the optimal structure of production in relation to soil and climatic conditions and energy potential, analysis of factors influencing the use of certain means of production, allows producers to make close to optimal current and strategic decisions. To do this, all industrial resources must be considered not separately, but in a complex structure of the agricultural production system in order to ensure the most rational use of them in optimal quantities and interaction. To strengthen the food security and energy independence of the state, it is necessary to form a powerful agricultural sphere of Ukraine. This is achieved through the rational use of agricultural resources, including solar energy through the binding of virtually unlimited resources of nitrogen, carbon, oxygen and hydrogen of the Earth's atmosphere in fats, proteins and hydrocarbons, provided mandatory recycling or reuse of minerals, balanced combination of biological and industrial resources and systematic increase of soil fertility. Therefore, it is necessary to make the transition from the traditional style of enterprise management, based on the production experience and intuition of managers and staff, to modern methods of decision-making that allow for operational and long-term planning with high accuracy and predictability. It is known that the main tool of systems analysis is modeling. The fundamental value of the model lies in its ability to change the real process. For most farms, the farm-wide experimentation procedure is either unacceptable or impractical. Such an experiment has too dangerous consequences for them. Therefore, when analyzing the problem, there is a need for a simulator of the researched enterprise, which could be used for testing instead of the real system. Such a simulator is a model that should reflect the most important patterns of transformation of natural, material, financial, informational, energy and labor resources into agricultural products. The result is a system of interconnected standard modules for determining indicators: production volumes, product prices, the amount of costs, the amount of credit required, the assessment of possible profits and the accumulation of own funds. Each of the considered production or economic indicators can be determined separately. The algorithm of the perspective information system presented in the work allows to comprehensively analyze the action and interaction of individual components of agricultural production and to make close to optimal strategic and current decisions at different levels of agro-industrial complex management.
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Chen, Yi Lin. "Risk Decision-Making System in Manufacture Enterprise Management." Advanced Materials Research 694-697 (May 2013): 3592–95. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3592.

Повний текст джерела
Анотація:
Risk has always been at the core of entrepreneurs daily decision-making, but factors will influence individuals decision-making. In this study, we investigated risk decision-making and cognition process of venture experts and novices under a given venture contexts. The purpose of the experiment is to investigate the difference of risk perception, risk propensity among venture experts, novice and college students, and to investigate the impact of these factors to individual risk decision-making. The result shows that, for the level of risk perception, there are prominent differences in experts and novices, but for the level of risk propensity, there is no prominent difference in experts and novices. It could be concluded that it is the risk perception influence individual risk decision-making but not the risk propensity.
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Awulor, Rita Ifeyinwa, Rhino Obi-Mallam, and Nnnena Mary Chukwu. "Enhancing organisational decision-making through management information system." Journal of Global Social Sciences 3, no. 11 (September 1, 2022): 115–33. http://dx.doi.org/10.31039/jgss.v3i11.71.

Повний текст джерела
Анотація:
The goal of a management information system is to deliver information in a timely and efficient manner to assist decision-making and other management functions. It consists of flow-processing operations based on computer data that are integrated with other procedures. This finding is also true when we take into account the exponential growth of modern business data and information. Efficient business decision-making is only possible with timely, accurate, high-quality information that is managed by qualified personnel, but in most cases, ineffective efficiency is caused by a lack of effective management information systems. Every aspect of life and human activity has been streamlined by the quick growth of information technology and telecommunications technology. To achieve high-quality decision-making at all levels of management, from the top level to the lowest, this technology must be well-organized. Information technology provides excellent options for quick and qualitative manipulation to improve the standard of decision-making preparation by organising the best and optimal database.
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Barr, Thomas R. "Critical Decision Making: The Decision to Deploy a Clinical Management System." Journal of Oncology Practice 1, no. 2 (July 2005): 71–74. http://dx.doi.org/10.1200/jop.2005.1.2.71.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Дисертації з теми "Decision-making management system"

1

Костюченко, Надія Миколаївна, Надежда Николаевна Костюченко, Nadiia Mykolaivna Kostiuchenko, Денис Олегович Смоленніков, Денис Олегович Смоленников, and Denys Olehovych Smolennikov. "Institutional decision-making in environmental management system." Thesis, Вид-во СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/8144.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Rezgui, Abdelkerim [Verfasser]. "Decision Evaluation System : Towards Sustainable Decision-Making / Abdelkerim Rezgui." Aachen : Shaker, 2018. http://d-nb.info/1188550578/34.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Tang, Yu-wen S. M. Massachusetts Institute of Technology. "Tradespace as a decision making tool in bioprocess design." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107362.

Повний текст джерела
Анотація:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 80-83).
The field of systems engineering upholds that fundamental engineering principles exist and are applicable across different domains and contexts. In this thesis, a state-of-the art decision and design evaluation method developed for aerospace systems, Multi-Attribute Tradespace Exploration (MATE) is complemented with Design of Experiments (DoE) and applied for the first time to a bioprocess design problem. The implementation of DoE was necessary due to the high complexity of bioprocess systems, where a design variable (or a reasonably small number of design variables) cannot be easily identified to explain a given attribute of the product or process. DoE not only allows the identification of design variables that most influence a given attribute, but also allows the development of Single-Utility-Functions facilitating the incorporation of the Multi- Utility component of the MATE method. The proposed new MATE-DoE method was implemented in two case studies to assess its applicability; namely bio-production of DHA and bio-production of a lipase enzyme. Based on published DoE experimental results, utility functions and cost estimations were carried out to develop a Tradespace. The resulting Tradespace demonstrates: (a) the possible implementation of the proposed method, (b) that the use of Tradespace complements the traditional bioprocess development practice by allowing decision makers to choose an architecture that optimizes for more than one objective (multi-objective), (c) that the proposed method takes into consideration the complex decision making process of customers (multi-attribute), and (d) that simultaneous comparison analysis to competitors and market standards are possible using the method. While the method was proven to be applicable, it is relatively complex and the number of experiments and market data required might prevent its broad implementation. Also, potential errors and misleading results might result from inaccurate input data. Special attention and effort need to be put in accurate Single-Utility Function (SUF) weight designation to avoid this problem. The importance of assessing the complete bioprocess, as opposed to individual unit operations, is highlighted. Finally, further studies to develop "rules of thumb" in order to simplify the proposed MATE-DoE method is suggested.
by Yu-wen Tang.
S.M. in Engineering and Management
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Devine, Paul (Paul S. ). "Reliability improvement project decision making : water cooling system redesign." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/35114.

Повний текст джерела
Анотація:
Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, June 2006.
Includes bibliographical references (p. 66).
Deciding on which reliability & performance improvement projects to launch or to reject has historically been an extremely challenging responsibility of Teradyne management. Incorrect decisions can lead to major customer dissatisfaction, which may subsequently lead to loss of market share. Teradyne Engineering and Marketing team have been trying to develop a tool that would assist in their reliability improvement project decision making. The challenge is the dynamic aspects of the reliability improvement projects. Like most engineering projects, reliability improvement projects have variables such as internal workforce, productivity, skill sets, customer expectations and many others that are in constant motion. These variables make the assessment of reliability projects extremely difficult in a static framework. This research will incorporate these key variables into a dynamic framework to help assess individual reliability improvement projects.
by Paul Devine.
S.M.
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Chacon, Vince. "Executive decision making processes and outcomes : structure and robustness." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29536.

Повний текст джерела
Анотація:
Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2003.
Includes bibliographical references (p. 48).
Uncertainty in the decision making environment complicates the decision making process because future events may change the effect of a particular decision or series of decisions. This thesis explores the possibility of applying robust engineering design techniques to the decision making process in order to limit the effects of changing circumstances. The intent is to identify solutions that will reduce the variation in the outcome of decisions that are made across many projects by analyzing projects that have been executed at the Dryden Flight Research Center (DFRC) over the past several years. A framework to relate past performance to match the requirements of experiments in a Design of Experiments (DOE) analysis is developed. The approach views factors that are considered in making decisions as controllable elements and factors that unexpectedly affect the outcome of the decisions as noise. The resulting framework is then organized such that the data can be analyzed using the Taguchi approach to DOE, which has been successfully used for analyzing engineering design and manufacturing processes. The analysis approach considers the robustness of the outcome based on the factors used to make the decisions about the various projects that have been conducted at DFRC over the past six years. The decision process performance is analyzed and recommendation are made to improve the performance of the decision making process at DFRC. The analysis indicates that projects providing large increases in technical knowledge were the most influential in reducing the effects from changes in budget and staffing resources that were beyond the control of the decision makers.
by Vince Chacon.
S.M.
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Nilekar, Shirish K. "A system-oriented analysis of team decision making in data rich environments." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90698.

Повний текст джерела
Анотація:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 78-80).
The information processing view of organizations [1] and subsequent works highlight the primary role of information processing in the effective functioning of markets and organizations. With the current wave of "big data" and related technologies, data-oriented decision making is being widely discussed [2] as a means of using this vast amount of available data for better decisions which can lead to improved business results. The focus of many of these studies is at the organization level. However, decisions are made by teams of individuals and this is a complex socio-technical process. The quality of a decision depends on many factors including technical capabilities for data analysis and human factors like team dynamics, cognitive capabilities of the individuals and the team. In this thesis, we developed a systems theory based framework for decision making and identified four socio technical factors viz., data analytics, data sensing, power distribution, and conflict level which affect the quality of decisions made by teams. We then conducted "thought experiments" to investigate the relative contribution of each of these factors to the quality of decisions. Our experiments and subsequent analyses show that while improved data analytics does result in better decisions, human factors have an out-sized contribution to the quality of decisions, even in data rich environments. Moreover, when the human factors in a team improve, the predictability of the positive impacts due to improvements in technical capabilities of the team also increases.
by Shirish K. Nilekar.
S.M. in Engineering and Management
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Wang, Ming-hua. "A knowledge-based system approach for project management decision-making support." Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340476.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Queiroz, Vieira Turnell M. de F. "A decision making aid system based on a small microprocessor." Thesis, University of Bradford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379855.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Xu, Hua S. M. Massachusetts Institute of Technology. "A system approach to augment clinical decision-making using machine learning." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121803.

Повний текст джерела
Анотація:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 76-80).
This thesis helps find limits within which automated methods can support and surpass the capabilities of medical professionals and the limits beyond which these methods are not yet adequate. This will inform later exploration about (a) what improvements in data collection, interpretation, and visualization will enhance technology's capacity and (b) what changes clinicians can make to improve their decision making-augmented or not. This thesis includes (a) describing clinical decisions, informed by literature and clinical case studies and (b) reviewing current capabilities of machine methods. This led to (c) a test experiment-how to use data about a particular condition (e.g. in-hospital mortality rate prediction) from a particular source (the MIMIC III data base). The results will help define current limits on augmenting clinical decisions and establish direction for future work including more demanding experiments.
Artificial Intelligence (AI) includes Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, Speech Recognition, and Robotics. As an important branch of Al, ML builds statistical models to learn from sample data, known as "training", identifies patterns, and makes predictions based on new data, known as "inference." In this way, ML is useful in rationalizing and predicting in uncertain environments, with minimum human interventions. Decision making is central to the healthcare practice, with many decisions made under conditions of uncertainty. Clinicians must integrate a huge variety of data while pressured to decrease diagnostic uncertainties and risks to patients. Deciding what information to gather, which test to order, how to interpret and integrate this information to draw diagnostic conclusions, and which treatments to give are essential.
In typical situations, clinicians evaluate patient symptoms and potential disease patterns, confirmed by a variety of tests, and they initiate treatments based on their experience and customary practice. This is complicated when multiple illnesses coexist, the illness may be rare, the information may be conflicting, or prior interventions may affect the presenting symptoms.
by Hua Xu.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Barton, John Edward Built Environment Faculty of Built Environment UNSW. "A spatial decision support system for the management of public housing." Awarded by:University of New South Wales, 2007. http://handle.unsw.edu.au/1959.4/35209.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Книги з теми "Decision-making management system"

1

Nadia, Nedjah, and Macedo Mourelle Luiza de, eds. Real-world multi-objective system engineering. New York: Nova Science, 2005.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Mancini, Daniela. Accounting Information Systems for Decision Making. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Brailsford, Sally, Leonid Churilov, and Brian Dangerfield, eds. Discrete-Event Simulation and System Dynamics for Management Decision Making. Chichester, UK: John Wiley & Sons Ltd, 2014. http://dx.doi.org/10.1002/9781118762745.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Wilimowska, Zofia, Leszek Borzemski, Jerzy Świątek, and Adam Grzech. Information systems architecture and technology: System analysis in decision aided problems. Wrocław: Wrocław University of Technology, 2009.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Flood, Robert L. Liberating systems theory. New York: Plenum Press, 1990.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Managing with systems thinking: Making dynamics work for you in business decision making. London: McGraw-Hill, 1994.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Wang, Ming-hua. A knowledge-based system approach for project management decision-making support. [s.l.]: typescript, 1997.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

W, Morecroft John D., Sanchez Ron, and Heene Aimé, eds. Systems perspectives on resources, capabilities, and management processes. Amsterdam: Pergamon, 2002.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

V, Gheorghe Adrian, and SpringerLink (Online service), eds. Quality Decision Management - The Heart of Effective Futures-Oriented Management: A Primer for Effective Decision-Based Management. Dordrecht: Springer Netherlands, 2009.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Coplin, William D. Power persuasion: A surefire system to get ahead in business. Reading, Mass: Addison-Wesley, 1985.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Частини книг з теми "Decision-making management system"

1

Lenhard, Raymond E. "Data Management in Clinical Decision Making." In A Clinical Information System for Oncology, 22–38. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3638-2_2.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Martin, Arnaud, Pascale Zarate, and Guy Camillieri. "A Multi-Criteria Recommender System Based on Users’ Profile Management." In Multiple Criteria Decision Making, 83–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39292-9_5.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Pohl, Edward. "System Reliability." In Decision Making in Systems Engineering and Management, 227–72. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470926963.ch8.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Delgado-Álvarez, Carlos A., and Yris Olaya-Morales. "Modeling Disaster Operations Management Problems with System Dynamics." In Decision-making in Humanitarian Operations, 223–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91509-8_10.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Driscoll, Patrick J., and Paul Kucik. "System Life Cycle." In Decision Making in Systems Engineering and Management, 65–93. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470926963.ch3.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Gröwe-Kuska, Nicole, Krzysztof C. Kiwiel, Matthias P. Nowak, Werner Römisch, and Isabel Wegner. "Power Management in a Hydro-Thermal System under Uncertainty by Lagrangian Relaxation." In Decision Making Under Uncertainty, 39–70. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4684-9256-9_3.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Jablonský, Josef. "Decision Support System for Management of Patient Nutrition: An Interactive AHP/Goal Programming Approach." In Multiple Criteria Decision Making, 135–48. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_11.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Guzmán Cortés, Diana Carolina, Leonardo José González Rodríguez, and Carlos Franco. "Collaborative Strategies for Humanitarian Logistics with System Dynamics and Project Management." In Decision-making in Humanitarian Operations, 249–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91509-8_11.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Kanatas, P., I. Travlos, A. Tataridas, and I. Gazoulis. "Decision-Making and Decision Support System for a Successful Weed Management." In Information and Communication Technologies for Agriculture—Theme III: Decision, 159–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84152-2_8.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Jakubeit, N., M. Rajabalinejad, A. J. J. Braaksma, and L. A. M. van Dongen. "Collaborative Decision-Making Challenges in the Dutch Railway System." In Complex Systems Design & Management, 193. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34843-4_18.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Decision-making management system"

1

Yong Sun, Lin Ma, Warwick Robinson, and Colin Fidge. "Using decision trees in economizer repair decision making." In 2010 Prognostics and System Health Management Conference (PHM). IEEE, 2010. http://dx.doi.org/10.1109/phm.2010.5414571.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Rosanty, Elvira Soufyani, Halina Mohamed Dahlan, and Ab Razak Che Hussin. "Multi-Criteria Decision Making for Group Decision Support System." In 2012 International Conference on Information Retrieval & Knowledge Management (CAMP). IEEE, 2012. http://dx.doi.org/10.1109/infrkm.2012.6205015.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Intezari, Ali, David J. Pauleen, and Nazim Taskin. "The DIKW Hierarchy and Management Decision-Making." In 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE, 2016. http://dx.doi.org/10.1109/hicss.2016.520.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Alfajri, I., A. Ali, and N. N. Al-Zaid. "Information Management System to Improve Decision Making Efficiency." In SPE Kuwait Oil and Gas Show and Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/175406-ms.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Tang, Hong, and Lindu Zhao. "Knowledge Management System of Intercity Emergency Decision Making." In 2009 WRI World Congress on Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/wcse.2009.232.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Wei-bing Liu and Min Li. "Dynamic decision making in social security system." In 2011 International Conference on Management Science and Industrial Engineering (MSIE). IEEE, 2011. http://dx.doi.org/10.1109/msie.2011.5707509.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

"Session 6.2 — Decision-making & maintainability." In 2012 Prognostics and System Health Management Conference (PHM). IEEE, 2012. http://dx.doi.org/10.1109/phm.2012.6228924.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Yaohui Zhang, Xiaohai Han, Shixin Zhang, and Shaohua Wang. "Decision-making methods of condition-based maintenance." In 2015 Prognostics and System Health Management Conference (PHM). IEEE, 2015. http://dx.doi.org/10.1109/phm.2015.7380098.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Gorelov, M. A. "Decision Making with Abundance of Information." In 2020 13th International Conference Management of large-scale system development (MLSD). IEEE, 2020. http://dx.doi.org/10.1109/mlsd49919.2020.9247780.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Mikštienė, Ruta, and Violeta Keršulienė. "Legal decision support system application possibility in corporate governance." In Business and Management 2016. VGTU Technika, 2016. http://dx.doi.org/10.3846/bm.2016.39.

Повний текст джерела
Анотація:
Decision-making that must be supported by specific information or reasoning extensively relies on decision support systems, capable of handling data from multiple sources. Most decision-makers seek to find cost-effective solutions, i.e. mainly focusing on most efficient solutions in economic terms, consequently, it is the economic information that is basically processed and offered for decision-making process by decision support systems, along with economic models. Though businesses focus on the most rational solutions to the management process, other criteria also play an important role, including time costs, confidentiality, and friendly relations with service users, customers, partners and government agencies, etc., thus management decision-making may successfully rely on legal decision support systems. The article presents an overview of legal decision support systems and their potential as regards their application in addressing a wide array of business management issues. The article also focuses on the selection and screening of indicators critical to decision-making, and offers a potential structure for management decision- making.
Стилі APA, Harvard, Vancouver, ISO та ін.

Звіти організацій з теми "Decision-making management system"

1

Barber, D. S., D. L. Brockman, and L. D. Buxton. Integrated Services Management System (ISMS): A management and decision making tool. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/120884.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Kappes, Sandra F., Simon S. Kim, Patrick J. Tanner, Roddy J. Williams, and Louis F. Cohn. Employing Expert System Technologies to Real Property Management Decision making. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada226176.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Buyak, Bogdan B., Ivan M. Tsidylo, Victor I. Repskyi, and Vitaliy P. Lyalyuk. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2669.

Повний текст джерела
Анотація:
The article describes the problem of designing a neuro-fuzzy expert system of professional selection at the stages of conceptualization and formalization, which involves the definition of concepts, relationships and management mechanisms necessary to describe the solution of problems in the chosen subject field. The structural model of the decision making system for determining the professional selection of students for training in IT specialties is substantiated. Three subsystems are proposed as structural components for studying: psychological peculiarities, personal qualities, factual knowledge, abilities and skills of students. The quality of the system’s operation is determined by the use of various techniques for acquiring knowledge on the basis of which the knowledge base of the neuro-fuzzy system and the combination of the use of fuzzy and stochastic data will be formed.
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Lagutin, Andrey, and Tatyana Sidorina. SYSTEM OF FORMATION OF PROFESSIONAL AND PERSONAL SELF-GOVERNMENT AMONG CADETS OF MILITARY INSTITUTES. Science and Innovation Center Publishing House, December 2020. http://dx.doi.org/10.12731/self-government.

Повний текст джерела
Анотація:
When carrying out professional activities, officers of the VNG of the Russian Federation are often in difficult, stressful, emotionally stressful situations associated with the use of weapons as a particularly dangerous means of destruction. The right to use a weapon by an officer makes him responsible for its use. And therefore requires the officer to make a balanced optimal decision, which is associated with the risk and transience of events, and in which no mistake can be made, since the price of it can be someone's life. It is at such a moment that it is important that the officer has stable skills in making a decision on the use of weapons, and this requires skills not only in managing subordinates or the situation,but in managing himself. The complication of the military-professional activity, manifested in the need to develop the ability to quickly and accurately make command decisions, exacerbating the problem of social responsibility of an officer who has the management of unit that leads to an understanding of his singular personal and professional responsibility, as the ability to govern themselves makes it possible to achieve a positive result of the Department for the DBA. This characterizes the need for a commander to have the ability to manage himself, as a "system" that manages others. Forming skills of self-control, patience, compassion, having mastered algorithms of making managerial decisions, the cycle of implementing managerial functions, etc., a person comes to the belief: "before effectively managing others, it is necessary to learn how to manage yourself." The required level of personal and professional maturity can be formed in a person as a result of purposeful self-management, which determines the special role of professional and personal self-management in the training of future officers.
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

Повний текст джерела
Анотація:
Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac, and Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42226.

Повний текст джерела
Анотація:
The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Alaska utilizes spatial information and provides a consistent GIS (geographic information system) framework to access and examine energy and related resource data such as energy resource potential, energy corridors, and environmental information. The database can be made accessible to DoD and its partners through an ArcGIS-based user interface that provides effective visualization and functionality to support analysis and to inform DoD decision-makers. The Energy Atlas–Alaska helps DoD account for energy in contingency planning, acquisition, and life-cycle requirements and ensures facilities can maintain operations in the face of disruption.
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac, and Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42226.

Повний текст джерела
Анотація:
The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Alaska utilizes spatial information and provides a consistent GIS (geographic information system) framework to access and examine energy and related resource data such as energy resource potential, energy corridors, and environmental information. The database can be made accessible to DoD and its partners through an ArcGIS-based user interface that provides effective visualization and functionality to support analysis and to inform DoD decision-makers. The Energy Atlas–Alaska helps DoD account for energy in contingency planning, acquisition, and life-cycle requirements and ensures facilities can maintain operations in the face of disruption.
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Ruiz de Gauna, Itziar, Anil Markandya, Laura Onofri, Francisco (Patxi) Greño, Javier Warman, Norma Arce, Alejandra Navarrete, et al. Economic Valuation of the Ecosystem Services of the Mesoamerican Reef, and the Allocation and Distribution of these Values. Inter-American Development Bank, May 2021. http://dx.doi.org/10.18235/0003289.

Повний текст джерела
Анотація:
Coral reefs are one of the most diverse and valuable ecosystems on Earth. The Mesoamerican Reef contains the largest barrier reef in the Western Hemisphere. However, its health is threatened, so there is a need for a management and sustainable conservation. Key to this is knowing the economic value of the ecosystem. “Mainstreaming the value of natural capital into policy decision-making is vital” The value of environmental and natural resources reflects what society is willing to pay for a good or service or to conserve natural resources. Conventional economic approaches tended to view value only in terms of the willingness to pay for raw materials and physical products generated for human production and consumption (e.g. fish, mining materials, pharmaceutical products, etc.). As recognition of the potential negative impacts of human activity on the environment became more widespread, economists began to understand that people might also be willing to pay for other reasons beyond the own current use of the service (e.g. to protect coral reefs from degradation or to know that coral reefs will remain intact in the future). As a result of this debate, Total Economic Value (TEV) became the most widely used and commonly accepted framework for classifying economic benefits of ecosystems and for trying to integrate them into decision-making. This report estimates the economic value of the following goods and services provided by the MAR's coral reefs: Tourism & Recreation, Fisheries, Shoreline protection. To our knowledge, the inclusion of non-use values in the economic valuation of the Mesoamerican Barrier Reef System is novel, which makes the study more comprehensive.
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Brinkerhoff, Derick W., Sarah Frazer, and Lisa McGregor-Mirghani. Adapting to Learn and Learning to Adapt: Practical Insights from International Development Projects. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0015.1801.

Повний текст джерела
Анотація:
Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle. It both erases the boundaries between design, implementation, and evaluation and reframes thinking to consider the complexity of development problems and nonlinear change pathways.Supportive management structures and processes are crucial for fostering adaptive management. Implementers and donors are experimenting with how procurement, contracting, work planning, and reporting can be modified to foster adaptive programming. Well-designed monitoring, evaluation, and learning systems can go beyond meeting accountability and reporting requirements to produce data and learning for evidence-based decision making and adaptive management. It is important to continue experimenting and learning to integrate adaptive programming and management into the operational policies and practices of donor agencies, country partners, and implementers. We need to devote ongoing effort to build the evidence base for the contributions of adaptive management to achieving international development results.
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Lempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, February 2021. http://dx.doi.org/10.18235/0003042.

Повний текст джерела
Анотація:
The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate change. Climate change impacts the lifespan of roads, airports, and railroads as they have time horizons that surpass 40 years, thus making it harder (if not impossible) to forecast with confidence all relevant future events that will affect such infrastructure. In addition, the climate has already changed, so the return frequency of storms, for example, and other extreme events may now be different than suggested by the historical record in ways that are not always currently well understood. Implementing Risk Management under conditions of such uncertainty can prove difficult. Decision Making Under Deep Uncertainty (DMDU) enables Risk Management under conditions of Deep Uncertainty, that is when risks cannot confidently be quantified. This guidebook is aligned with the Disaster and Climate Change Risk Assessment Methodology for IDB projects (IDB 2018) and introduces and provides guidance on applying methods for Decision Making Under Deep Uncertainty (DMDU) to transportation planning. It presents the methodological steps that are necessary for the implementation of DMDU methodologies and reviews several such methods, including scenario planning, Adaptive Pathways, and robust decision making (RDM). This review is geared towards supporting the incorporation of DMDU methods into IDBs transportation sector funding and planning processes.
Стилі APA, Harvard, Vancouver, ISO та ін.
Також вас можуть зацікавити розширені добірки на тему "Decision-making management system" для конкретних типів джерел:
Статті в журналах Дисертації Книги
Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!

До бібліографії