Relevant bibliographies by topics / Operation Research/Decision Theory

Contents

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

Academic literature on the topic 'Operation Research/Decision Theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 January 2023

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Journal articles on the topic "Operation Research/Decision Theory"

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K, BHAVANI SELVI. "Operations research - contemporary role in managerial decision making." Journal of Management and Science 7, no. 1 (June 30, 2017): 196–206. http://dx.doi.org/10.26524/jms.2017.25.

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As the global environment becomes most competitive, Operations Research has gained significance in applications like world - class Manufacturing systems (WCM), Lean production, six - sigma quality management, Benchmarking, Just – in - Time (JIT) inventory techniques. The growth of global markets and the resulting increase in competition have highlighted the need for Operation Research. To survive and lead the today‘s highly competitive and demand drivenmarket, pressure is on management to make economic decisions. One of the essential managerial skills is ability to allocate and utilize resources appropriately in the efforts of achieving the optimal performance efficiently. In some cases such as small - scale low complexity environment, decision based on intuition with minimal quantitative basis may be reasonably acceptable and practical in achieving the goal of the organization. However, for a large - scale system, both quantitative and qualitative (i.e. intuition, experience, common sense) analyses are required to make the most economical decisions. Using Operations Research techniques including Linear Programming, Discrete Event Simulation and Queuing Theory, organization leaders can make high quality decisions. Operations managers are not expected to be experts in any decision science tools; however, he or she must have fundamental knowledge of such tools to acquire right resources and to make the most economically sounding decisions for the company as a whole. Present paper is an attempt to study the importance of Operations research and various techniques used to improve the operational efficiency of the organization.
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Xu, Wei, Yi Wan, Tian-Yu Zuo, and Xin-Mei Sha. "Research on Information Fusion for Machine Potential Fault Operation and Maintenance." Symmetry 12, no. 3 (March 3, 2020): 375. http://dx.doi.org/10.3390/sym12030375.

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In recent years, the development of sensor technology in industry has profoundly changed the way of operation and management in manufacturing enterprises. Due to the popularization and promotion of sensors, the maintenance of machines on the production line are also changing from the subjective experience-based machine maintenance to objective data-driven maintenance decision-making. Therefore, more and more data decision model has been developed through AI technology and intelligence algorithms. Equally important, the information fusion between decision results, which got by data decision model, has also received widespread attention. Information fusion is performed on symmetric data structures. The asymmetric data under the symmetric structure leads to the difference in information fusion results. Therefore, fully considering the potential differences of asymmetric data under a symmetric structure is an important content of information fusion. In view of the above, this paper studies how to make information fusion between different decision results through the framework of D-S evidence theory and discusses the deficiency of D-S evidence theory in detail. Based on D-S evidence theory, then a comprehensive evidence method for information fusion is proposed in this paper. We illustrate the rationality and effectiveness of our method through analysis of experiment case. And, this method is applied to a real case from industry. Finally, the irrationality of the traditional D-S method in the comprehensive decision-making results of machine operation and maintenance was solved by our novel method.
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Zheng, Xue Bing, and Ran Li. "Transformer Selection Research Based on Blind Number Theory." Applied Mechanics and Materials 521 (February 2014): 159–62. http://dx.doi.org/10.4028/www.scientific.net/amm.521.159.

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For a long time, the power company is always concerned about acquisition costs in power equipment selection and ignores the impact of operating costs on the selection decision. Thus, the selection model has a certain one-sidedness. In this paper, the life cycle costs theory is applied to the transformer selection, which consider transformer initial investment costs, operation and maintenance costs, technological overhaul costs, the cost of failure and scrap disposal costs in full life cycle more comprehensively. The result not only gives the transformer blind number expectations of full life cycle cost, but also can give the credibility of different costs interval and have a certain reference value.
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Schwartz, Alan, Julie Goldberg, and Gordon Hazen. "Prospect theory, reference points, and health decisions." Judgment and Decision Making 3, no. 2 (February 2008): 174–80. http://dx.doi.org/10.1017/s1930297500001510.

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AbstractIn preventative health decisions, such as the decision to undergo an invasive screening test or treatment, people may be deterred from selecting the test because its perceived disutility relative to not testing is greater than the utility associated with prevention of possible disease. The prospect theory editing operation, by which a decision maker’s reference point is determined, can have important effects on the disutility of the test. On the basis of the prospect theory value function, this paper develops two approaches to reducing disutility by directing the decision maker’s attention to either (actual) past or (expected) future losses that result in shifted reference points. After providing a graphical description of the approaches and a mathematical proof of the direction of their effect on judgment, we briefly illustrate the potential value of these approaches with examples from qualitative research on prostate cancer treatment decisions.
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Oloruntoba, Richard, Gazi Farid Hossain, and Beverly Wagner. "Theory in humanitarian operations research." Annals of Operations Research 283, no. 1-2 (December 7, 2016): 543–60. http://dx.doi.org/10.1007/s10479-016-2378-y.

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Xu, Jian, Dan Liu, and Xin Wen. "Research on Operation Monitoring System of Regional Logistics System." Advanced Materials Research 468-471 (February 2012): 2647–52. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2647.

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For the present situation of decision-making errors and poor regulation caused by lack of operational monitoring in current development of China’s regional logistics system, the operation monitoring system of regional logistics system was designed in the paper. It consisted of index system, evaluation method, diagnosis and early-warning. By analyzing the content of operation for regional logistics system, the boundary of monitoring was defined and an index system was constructed; the grey relational grading evaluation model was introduced in monitoring and evaluation; diagnosis and early-warning could be realized by means of improved radar chart. It is expected to provide theory and methodological tool for operation monitoring of regional logistics.
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Jiang, Xiao Mei, Zheng Xiao Hua, and Yan Nian Rui. "Research on Intelligent Elevator Control System." Advanced Materials Research 605-607 (December 2012): 1802–5. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1802.

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This thesis introduces control approach for the elevator control system. From the intelligent control perspective of the elevator operation, better elevator service quality should be required. The advanced scheduling rules and the best dispatching mode should be adopted in control procedures to obtain control management. Group control algorithm does not solely rely on the passengers’ shortest waiting time as the goal, also using the fuzzy theory, neural network, genetic algorithm and expert system. All these factors including the passengers’ psychological impact and assessment of impending decision-making should be absorbed into the group control system, so it is a multi-objective control combined expert system with the current elevator operating status.
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Yan, Hong. "Research on Flood Control Operation for Poyang Lake Semi-Restoration Dikes are Based on Variable Fuzzy Optimization Theory." Applied Mechanics and Materials 599-601 (August 2014): 1237–43. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1237.

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Based on variable fuzzy optimization theory of semi-structural decision-making theory, the flood control operation of semi-restoration dikes in Poyang Lake has been optimized. The optimal program will provide basis for scientific flood control of Poyang Lake.
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Li, Xiao Ying, Min Chu, and Fei Ge. "Research on the Theory and Application of River Course Regulation Projects’ Post-Economic Evaluation." Advanced Materials Research 594-597 (November 2012): 3058–61. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.3058.

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Effect of the continuous development of economy and society, and changes in water regime and hydraulic structure behavior, the post-economic evaluation on water conservancy project is necessary. By which experiences and lessons can be learned from the river course regulation project under operation, project management and decision-making at all levels can be improved. At the same time, engineering under operation can play better efficiency, and the construction work in progress and projects to be built can be guided through the appraisement. It is proved by example application.
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Jiang, Minglin, Xiaowei Lin, Xideng Zhou, and Hongfang Qiao. "Research on Supply Chain Quality Decision Model Considering Reference Effect and Competition under Different Decision-Making Modes." Sustainability 14, no. 16 (August 19, 2022): 10338. http://dx.doi.org/10.3390/su141610338.

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The reference effect of consumers’ product quality and service quality is an important behavioral factor that affects consumers’ purchase decisions. In this paper, considering the inherent dynamics of the operation mode, the two were combined into a product-service supply chain composed of a manufacturer and two competitive retailers, and the service reference effect was further divided into horizontal and vertical service reference effects. Differential game models between the manufacturer and the retailers were constructed. Using the continuous dynamic programming theory, the manufacturer’s quality level strategy, retailer’s service level strategy and supply chain system performance under the modes of no cost sharing decision, cost sharing decision and centralized decision were analyzed and compared. Main findings: The optimal strategy of product quality under centralized decision is greater than the corresponding value under cost sharing contract decision. Compared with decentralized decision making of no cost sharing, cost sharing contract cannot promote the manufacturer to improve product quality. Different from previous studies, the service quality under centralized decision making is not higher than other decisions. When the horizontal reference effect of service quality meets a certain condition, the supply chain profit under centralized decision making is lower than the corresponding value under decentralized decision making.
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Dissertations / Theses on the topic "Operation Research/Decision Theory"

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Cook, Edward. "Group Decision-Making." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5928.

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The present work explores improvements in group decision-making. It begins with a practical example using state-of-the-art techniques for a complex, high-risk decision. We show how these techniques can reveal a better alternative. Although we created an improved decision process, decision-makers were apt to protect their own organizations instead of the project. This tendency was reduced over the course of the decision-making process but inspired the first conceptual component of this work. The first concept describes the “Cost of Conflict” that can arise in a group decision, using game theory to represent the non-cooperative approach and comparing the outcome to the cooperative approach. We demonstrate that it is possible for the group to settle on a non-Paretto Nash equilibrium. The sensitivity of the decision-maker weights is revealed which led to the second conceptual portion of this work. The second concept applies social network theory to study the influence between decision-makers in a group decision. By examining the number and strength of connections between decision-makers, we build from intrinsically derived weights to extrinsically derived weights by adding the network influences from other decision-makers. The two conceptual approaches provide a descriptive view of non-cooperative decisions where decision-makers still influence each other. These concepts suggest a prescriptive approach to achieving a higher group utility.
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Bartels, Jan-Hendrik. "Anwendung von Methoden der ressourcenbeschränkten Projektplanung mit multiplen Ausführungsmodi in der betriebswirtschaftlichen Praxis Rückbauplanung für Kernkraftwerke und Versuchsträgerplanung in Automobilentwicklungsprojekten /." Wiesbaden : Gabler, 2009. http://sfx.metabib.ch:9003/sfx_locater?sid=ALEPH:DSV01&genre=book&isbn=978-3-8349-8228-5&id=doi:10.1007/978-3-8349-8228-5.

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Salmon, John LaNay. "A methodology for quantitative and cooperative decision making of air mobility operational solutions." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49039.

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Many complex and interdependent systems engineering challenges involve more than one stakeholder or decision maker. These challenges, such as the definition and acquisition of future air mobility systems, are often found in situations where resources are finite, objectives are conflicting, constraints are restricting, and uncertainty in future outcomes prevail. Air mobility operational models which simulate fleet wide behavior effects over time, in various mission scenarios, and potentially over the entire design life-cycle, are always multi-dimensional, cover a large decision space, and require significant time to generate sufficient solutions to adequately describe the design space. This challenge is coupled with the fact that, in these highly integrated solutions or acquisitions, multiple stakeholders or decision makers are required to cooperate and reach agreement in selecting or defining the requirements for the design or solution and in its costly and lengthy implementation. However, since values, attitudes, and experiences are different for each decision maker, reaching consensus across the multiple criteria with different preferences and objectives is often a slow and highly convoluted process. In response to these common deficiencies and to provide quantitative analyses, this research investigates and proposes solutions to two challenges: 1) increase the speed at which operational solutions and associated requirements are generated and explored, and 2) systematize the group decision-making process, to both accelerate and improve decision making in these large operational problems requiring cooperation. The development of the Air Mobility Operations Design (AirMOD) model is proposed to address the first challenge by implementing and leveraging surrogate models of airlift capability across a wide scenario space. In addressing the second major challenge, the proposed Multi-Agent Consensus Reaching on the Objective Space (MACRO) methodology introduces a process to reduce the feasible decision space, by identifying regions of high probability of consensus reaching, using preference distributions, power relationships, and game-theoretic techniques. In a case study, the MACRO methodology is demonstrated on a large air mobility solution space generated by AirMOD to illustrate plausibility of the overall approach. AirMOD and MACRO offer considerable advantages over current methods to better define the operational design space and improve group decision-making processes requiring cooperation, respectively.
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Angelis, John N. "Decision Models for Growing Firms: Obstacles and Opportunities." online version, 2009. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=case1228408327.

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Hudson, Joshua. "A Partially Observable Markov Decision Process for Breast Cancer Screening." Thesis, Linköpings universitet, Statistik och maskininlärning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154437.

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In the US, breast cancer is one of the most common forms of cancer and the most lethal. There are many decisions that must be made by the doctor and/or the patient when dealing with a potential breast cancer. Many of these decisions are made under uncertainty, whether it is the uncertainty related to the progression of the patient's health, or that related to the accuracy of the doctor's tests. Each possible action under consideration can have positive effects, such as a surgery successfully removing a tumour, and negative effects: a post-surgery infection for example. The human mind simply cannot take into account all the variables involved and possible outcomes when making these decisions. In this report, a detailed Partially Observable Markov Decision Process (POMDP) for breast cancer screening decisions is presented. It includes 151 states, covering 144 different cancer states, and 2 competing screening methods. The necessary parameters were first set up using relevant medical literature and a patient history simulator. Then the POMDP was solved optimally for an infinite horizon, using the Perseus algorithm. The resulting policy provided several recommendations for breast cancer screening. The results indicated that clinical breast examinations are important for screening younger women. Regarding the decision to operate on a woman with breast cancer, the policy showed that invasive cancers with either a tumour size above 1.5 cm or which are in metastasis, should be surgically removed as soon as possible. However, the policy also recommended that patients who are certain to be healthy should have a breast biopsy. The cause of this error was explored further and the conclusion was reached that a finite horizon may be more appropriate for this application.
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Hagtvedt, Reidar. "Applications of Decision Analysis to Health Care." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22535.

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This dissertation deals with three problems in health care. In the first, we consider the incentives to change prices and capital levels at hospitals, using optimal control under the assumption that private payers charge higher prices if patients consume more hospital services. The main results are that even with fixed technology, investment and prices exhibit explosive growth, and that prices and capital stock grow in proportion to one another. In the second chapter, we study the flow of nosocomial infections in an intensive care unit. We use data from Cook County Hospital, along with numerous results from the literature, to construct a discrete event simulation. This model highlights emergent properties from treating the flow of patients and pathogens in one interconnected system, and sheds light on how nosocomial infections relate to hospital costs. We find that the system is not decomposable to individual systems, exhibiting behavior that would be difficult to explain in isolation. In the third chapter, we analyze a proposed change in diversion policies at hospitals, in order to increase the number of patients served, without an increase in resources. Overcrowding in hospital emergency departments is caused in part by the inability to send patients to main hospital wards, due to limited capacity. When a hospital is completely full, the hospital often goes on ambulance diversion, until some spare capacity has opened up. Diversion is costly, and often leads to waves of diversions in systems of hospitals, a situation that is regarded as highly problematic in public health. We construct and analyze a continuous-time Markov chain model for one hospital. The intuition behind the model is that load-balancing between various hospitals in a metro area may hinder full congestion. We find that a more flexible contract may benefit all parties, through the partial diversion of federally insured patients, when a hospital is very close to full. Discrete event simulation models are run to assess the effect, using data from DeKalb Medical Center, and also to show that in a two-hospital system, more federally insured patients are served using this mechanism.
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Knowles, Bryan A. "In the Face of Anticipation: Decision Making under Visible Uncertainty as Present in the Safest-with-Sight Problem." TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1565.

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Pathfinding, as a process of selecting a fixed route, has long been studied in Computer Science and Mathematics. Decision making, as a similar, but intrinsically different, process of determining a control policy, is much less studied. Here, I propose a problem that appears to be of the first class, which would suggest that it is easily solvable with a modern machine, but that would be too easy, it turns out. By allowing a pathfinding to anticipate and respond to information, without setting restrictions on the \structure" of this anticipation, selecting the \best step" appears to be an intractable problem. After introducing the necessary foundations and stepping through the strangeness of “safest-with-sight," I attempt to develop an method of approximating the success rate associated with each potential decision; the results suggest something fundamental about decision making itself, that information that is collected at a moment that it is not immediately “consumable", i.e. non-incident, is not as necessary to anticipate than the contrary, i.e. incident information. This is significant because (i) it speaks about when the information should be anticipated, a moment in decision-making long before the information is actually collected, and (ii) whenever the model is restricted to only incident anticipation the problem again becomes tractable. When we only anticipate what is most important, solutions become easy to compute, but attempting to anticipate any more than that and solutions may become impossible to find on any realistic machine.
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Rosales, Claudia R. "Technology Enabled New Inventory Control Policies in Hospitals." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1299178847.

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Mishra, Himanshu Kumar. "Ignorance is bliss the information malleability effect /." Diss., University of Iowa, 2006. http://ir.uiowa.edu/etd/60.

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Calliess, Jan-Peter. "Conservative decision-making and inference in uncertain dynamical systems." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:b7206c3a-8d76-4454-a258-ea1e5bd1c63e.

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The demand for automated decision making, learning and inference in uncertain, risk sensitive and dynamically changing situations presents a challenge: to design computational approaches that promise to be widely deployable and flexible to adapt on the one hand, while offering reliable guarantees on safety on the other. The tension between these desiderata has created a gap that, in spite of intensive research and contributions made from a wide range of communities, remains to be filled. This represents an intriguing challenge that provided motivation for much of the work presented in this thesis. With these desiderata in mind, this thesis makes a number of contributions towards the development of algorithms for automated decision-making and inference under uncertainty. To facilitate inference over unobserved effects of actions, we develop machine learning approaches that are suitable for the construction of models over dynamical laws that provide uncertainty bounds around their predictions. As an example application for conservative decision-making, we apply our learning and inference methods to control in uncertain dynamical systems. Owing to the uncertainty bounds, we can derive performance guarantees of the resulting learning-based controllers. Furthermore, our simulations demonstrate that the resulting decision-making algorithms are effective in learning and controlling under uncertain dynamics and can outperform alternative methods. Another set of contributions is made in multi-agent decision-making which we cast in the general framework of optimisation with interaction constraints. The constraints necessitate coordination, for which we develop several methods. As a particularly challenging application domain, our exposition focusses on collision avoidance. Here we consider coordination both in discrete-time and continuous-time dynamical systems. In the continuous-time case, inference is required to ensure that decisions are made that avoid collisions with adjustably high certainty even when computation is inevitably finite. In both discrete-time and finite-time settings, we introduce conservative decision-making. That is, even with finite computation, a coordination outcome is guaranteed to satisfy collision-avoidance constraints with adjustably high confidence relative to the current uncertain model. Our methods are illustrated in simulations in the context of collision avoidance in graphs, multi-commodity flow problems, distributed stochastic model-predictive control, as well as in collision-prediction and avoidance in stochastic differential systems. Finally, we provide an example of how to combine some of our different methods into a multi-agent predictive controller that coordinates learning agents with uncertain beliefs over their dynamics. Utilising the guarantees established for our learning algorithms, the resulting mechanism can provide collision avoidance guarantees relative to the a posteriori epistemic beliefs over the agents' dynamics.
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Books on the topic "Operation Research/Decision Theory"

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Xu, Zeshui. Linguistic Decision Making: Theory and Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Migdalas, Athanasios, Angelo Sifaleras, Christos K. Georgiadis, Jason Papathanasiou, and Emmanuil Stiakakis, eds. Optimization Theory, Decision Making, and Operations Research Applications. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5134-1.

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Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. London: Springer London, 2013.

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Núñez, Alfredo A. Hybrid Predictive Control for Dynamic Transport Problems. London: Springer London, 2013.

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1954-, Varela Juan, and Acuña Sergio 1960-, eds. Handbook of optimization theory: Decision analysis and application. Hauppauge, N.Y: Nova Science Publishers, 2009.

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Wygralak, Maciej. Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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GOR-Working-Group "Decision Theory and Practice". Workshop. Decision theory and optimization in theory and practice: Proceedings of the 9th Workshop of the GOR-Working-Group "Decision Theory and Practice", March 3-5, 1999, Chemnitz. Aachen: Shaker Verlag, 2000.

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Vitoriano, Begoña. Decision Aid Models for Disaster Management and Emergencies. Paris: Atlantis Press, 2013.

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Ventre, Aldo G. S. Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Theory and approaches of unascertained group decision-making. Boca Raton: Auerbach Publications, 2012.

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Book chapters on the topic "Operation Research/Decision Theory"

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Poler, Raúl, Josefa Mula, and Manuel Díaz-Madroñero. "Decision Theory." In Operations Research Problems, 205–80. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5577-5_7.

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Gilboa, Itzhak, and David Schmeidler. "Case-Based Decision Theory—An Outline." In Operations Research ’92, 512–15. Heidelberg: Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_141.

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Menoncin, Francesco. "Decision Theory Under Uncertainty." In EURO Advanced Tutorials on Operational Research, 11–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55528-3_2.

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Lock, Andrew. "Behavioural Decision Theory and Operational Research." In Operational Research and the Social Sciences, 629–33. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0789-1_95.

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Ouerdane, Wassila, Nicolas Maudet, and Alexis Tsoukiàs. "Argumentation Theory and Decision Aiding." In International Series in Operations Research & Management Science, 177–208. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5904-1_7.

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Hao, Zhinan, Zeshui Xu, and Hua Zhao. "Novel Intuitionistic Fuzzy Decision Making Models in the Framework of Decision Field Theory." In Uncertainty and Operations Research, 63–86. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3891-9_4.

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Laskey, Kathryn Blackmond. "Bayesian Decision Theory, Subjective Probability, and Utility." In Encyclopedia of Operations Research and Management Science, 112–15. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_66.

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Xu, Zeshui, and Shen Zhang. "Fuzzy multi-attribute decision-making: Theory, methods and Applications." In The Palgrave Handbook of Operations Research, 621–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96935-6_18.

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Fox, William P., and Robert Burks. "Game Theory." In Applications of Operations Research and Management Science for Military Decision Making, 251–329. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20569-0_6.

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Barzilai, Jonathan. "Preference Function Modelling: The Mathematical Foundations of Decision Theory." In International Series in Operations Research & Management Science, 57–86. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5904-1_3.

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Conference papers on the topic "Operation Research/Decision Theory"

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Guo, Chuanfu, Liang Ma, and Xueqing Fu. "Research on Vessel Formation Emergency Operation Scheme Optimization based on Fuzzy Decision Theory." In 2015 International Conference on Education, Management, Information and Medicine. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/emim-15.2015.26.

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Zhang, Yongbo, Zihao Chen, and Baofeng Pan. "Research on risk decision of shipping enterprise operation and mothball based on Bayesian theory." In 2021 International Conference on Management Science and Software Engineering (ICMSSE). IEEE, 2021. http://dx.doi.org/10.1109/icmsse53595.2021.00019.

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Celen, Merve, and Dragan Djurdjanovic. "Joint Maintenance and Production Operations Decision Making in Flexible Manufacturing Systems." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7258.

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In highly flexible and integrated manufacturing systems such as those in semiconductor manufacturing, there exist strong dynamic interactions between the equipment condition, operations executed on the equipment and the resulting product quality. These interactions necessitate a methodology that integrates the decisions of maintenance scheduling and production operations. Currently, maintenance and production operations decision-making are two decoupled processes. In this paper we aim to devise an integrated decision making policy for maintenance scheduling and production sequencing with the objective of maximizing an adaptive profit function, while taking into account operation-dependent degradation models and a production target. In order to obtain the optimal decision policy, a metaheuristic method based on the results of discrete-event simulations of the target manufacturing system is used. The new approach is demonstrated in simulations of a generic cluster tool routinely used in semiconductor manufacturing. The results show that jointly making maintenance and production sequencing decisions consistently outperforms the current practice of making these decisions separately.
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Jafari-Marandi, Ruholla, Mengqi Hu, and Souma Chowdhury. "A System of System Approach for Smart Complex Energy System Operation Decision." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47415.

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The emerging technology in smart grids enables a bi-directional communication between buildings and power grids. Not only can a building request energy from power grid, but it is also able to sell surplus energy back to power grid or to its neighborhood buildings. The vision is that multiple residential houses can freely form a smart complex to share energy and exchange information, which is expected to reduce energy consumption and achieve significant energy cost savings. However, the study of the operation decisions of a smart complex with multiple residential buildings is limited in the literature. To address this research gap, this paper proposes a System of Systems (SoS) approach to investigate the smart complex operation that considers a residential complex setting where all of the households are connected to one another through the complex virtual decision making level, while maintaining their preferred comfort level. The core objective of the proposed model is to minimize the cost of energy for all of the households in the complex which can freely share energy and exchange information. Each household has the flexibility to maintain its comfort level while minimizing the energy cost. Two mathematical models are presented: (i) at complex level, and (ii) at household level. Although each household is given the freewill to set its comfort levels while optimizing energy costs, the interconnection of these houses with shared renewable energy systems and a complex size battery can boost the load shifting. To derive the operation decision for the smart complex, a genetic algorithm (GA) is developed, and a case study is used to test the efficiency of this GA. It was found that the GA provides acceptable levels of convergence within a reasonable time frame, thereby exhibiting potential for use in real-time decision making in the smart grid context.
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Liu, Xinyang, and Pingfeng Wang. "Value of Information for Continuous Monitoring Systems in Recurrent Maintenance Decision Scenarios." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71021.

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Abstract Monitoring systems play a crucial role in improving system failure resilience and preventing tragic consequences brought by unexpected system failure and saving the consequential high cost. Continuous monitoring systems have been applied to diversified systems for well-informed operations. Although plenty research has devoted to predicting system states using the continuous data flow, there still lacks a systematic decision-making framework for system designers and engineering system owners to maximize their benefits on adopting monitoring systems. This paper constructs such a decision-making framework, with which system owners can evaluate the operation cost change under specific operation modes considering the effectiveness of continuous monitoring systems in predicting system failures. Two case studies have been conducted to illustrate the value evaluation of the monitoring information and the system maintenance process with the aid of different prognostic results based on the monitoring data. The first case study considers a health-state prediction with fixed accuracy while the second one incorporates the accuracy improvement as the monitoring data accumulates. Results show that the value of monitoring systems will be influenced by the deviation among the equipment group, the accuracy of system-state prediction, and different types of cost involved in the operating process. And the adjustment of maintenance actions based on monitoring and prognosis information will help improve the value of monitoring systems.
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Makarov, Mikhail, and Alexandr Astafiev. "Synthesis of special operating decisions as part of adaptive control of a mobile robot." In V International Scientific Workshop on Modeling, Information Processing and Computing. CEUR-WS.org, 2022. http://dx.doi.org/10.47813/dnit-mip5/2022-3091-12-17.

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This paper presents theory behind synthesis of special operating decisions in mobile robotics. The authors have developed and implemented an experimental research methodology to substantiate the theoretical and practical significance of the proposed decision structure for incorporation of quasi-cognitive mechanisms in the process of intelligent data processing in such robotics. This paper presents research and testing of a computer model of the abstract decision-making component that analyzes the movement trajectory of a mobile object in the operational space of a mobile robotic system. This approach towards intelligent decisionmaking can be tested for effectiveness by whether it enables the system to detect change in the parameters of the analyzed dynamic object that are important for autonomous analysis of the environment. One finding is that using this novel operating decision structure to improve autonomy contributes to the emergence of a behavior strategy that bypasses the combinatorial methods configured during the development; this improves the system’s adaptability to change in its environment.
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Soper, Jonathan, Jennifer Smith, Jonathan Power, and Brian Veitch. "An Evaluation of Decision Support Technology in Simulated Offshore Ice Management." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-78097.

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Abstract In this research, an experimental method was used to evaluate the effects of a novel digital Decision Support System (DSS) for maritime ice management operations. This was done using a marine bridge simulator to determine whether the use of this technology can improve ice management performance. The experiment used the DSS to assist seafaring cadets in simulated emergency ice management operations. The operation scenarios saw the cadets use a supply vessel under their control to clear sea ice from the lifeboat launch zone of an offshore installation. The DSS allowed participants to request assistance, which was provided through text-based instructions and visual replay of a previous approach from a past study. The cadets usually adopted the strategy recommended by the DSS, but did not demonstrate statistically significant performance improvements, which we attribute to their lack of ship handling experience. This research provides insight into the efficacy of decision support technology in presenting advice for ice management activities. It also describes an effective method for evaluating this technology.
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Khazaii, Javad, and Ali Khazaei. "Developing HVAC System Terminal Units Control Sequence Utilizing Game Theory Rules." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69948.

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Abstract Human thermal comfort depends on multiple factors such as temperature, humidity ratio, air velocity, metabolism etc. Two of the most important of these parameters that are being controlled simultaneously via air conditioning system in spaces are temperature and humidity ratio. Achieving thermal comfort in multi-occupancy spaces occupied with people with different levels of acceptable thermal comfort not only can help creating more desirable experience for majority of the occupants in these spaces, but also can save energy by optimizing the operation of the air conditioning system and avoiding unnecessary energy consumption when there is no need for controlling temperature and humidity at pre-selected values. Meanwhile, research shows current measures of thermal comfort are at best 30–40% accurate, since they have been developed decades ago and based on the desired references of a specific group of people in that time. Space control algorithms that are generally written to hold temperature and humidity ratio based on a typical human response to parameters affecting thermal comfort should be customized to provide the optimum comfort level for people with different thermal comfort preferences occupying the same offices or spaces. Such optimization can be achieved via utilizing rules of game theory — which is a strategic method of decision making among competing or cooperating decision makers — to help finding the best combination of the temperature and humidity ratio. This helps to create thermal comfort for different combinations of occupants in the space with different thermal comfort preference. This work represents a new way of writing sequence of controls for air handling units, to maximize thermal comfort of all the occupants and at the same time creates opportunity for saving energy by avoiding single set-point for delivering air temperature and humidity ratio.
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Hou, Ning, and Limin Sun. "Research on cable safety based on monitoring data and time- dependent reliability." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1370.

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<p>Different from judging whether the proposed structure meets the requirements in the design stage, the evaluation of the existing structure has always been a difficult issue for structural engineers. Using the four-years monitoring data of a long span cable-stayed bridge in this paper, the probability distribution of the load effect is studied based on the reliability theory. The purpose of this paper is to provide a theoretical reference for the safety assessment, operation management and maintenance reinforcement decision of existing structures. The results show that the load effect obeys the normal distribution or the beta distribution. The reliability indexes of the cable are calculated separately in months and in years. It is noted that the reliability indexes varies with the different time period. This study also conducts a preliminary discussion on the remaining life of the cable based on the regression analysis of reliability index.</p>
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Arkadov, G. V., A. F. Getman, and A. I. Usanov. "Development and Application of Technologies Maintenance of a Lifetime and Safety the NPP Components." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48904.

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Researches, development and rendering of services in the field of maintenance of a resource, reliability and safety of the equipment and pipelines operation are conducted in the following directions: • Application of the system approach at the analysis and research of a problem of maintenance of strength, lifetime, reliability and safety of operation of the NPP equipment and pipelines. • Research of ageing of NPP steel components about use of metal cuttings, nonspecimen methods and surveillance specimens. The basic results on this direction are: - Data acquisition about changes of mechanical properties, crack resistance characteristics and metal structures after long operation, including after 100 thousand hours of operation, and also after 150 and 200 thousand; - Development and realization on the NPP in Russian and abroad nonspecimen methods of an estimation of mechanical properties in operation without a cutting of samples; - Development and realization on a number of the NPP in Russia and abroad technologies regenerative heat treatment of reactor pressure vessels after in service irradiation embrittlement. • Research and design works on creation and application on the NPP of systems of continuous diagnostics of a condition of pipelines and the equipment under the control of noise. The basic result on the given direction is installation on a number of units of the NPP of systems of diagnostics such as ALUS. • Researches and development in the field in-service inspection. The basic results are: - Development of typical technical rules of the in-service inspection of a steel NPP components of different type, switching VVER-440, VVER-1000, RBMK-1000, EPG-6, BN-600; - Development of bank of tests - samples with artificial defects and an estimation of reliability of some in-service inspection methods on the NPP. - Development of a technique and calculations in a substantiation of norms of the defects based on laws of the fracture mechanics; - Development of some techniques of in-service inspection. • Researches and creation of devices for control of operation modes necessary for monitoring of a residual lifetime, reliability and safety of the equipment and pipelines. Creation of the Automated monitoring system of residual lifetime (SACOR). • Development of methods of an estimation of a residual service life under normal conditions operation and their application for the decision of the NPP problems; • Development of methods of an estimation of a residual service life at infringement of normal conditions of operation, including at presence of defects such as cracks, and their application for the decision of the NPP problems; • Development probabilistic methods of an estimation of a residual lifetime, reliability and safety of the equipment and pipelines; their applications at the decision of the NPP problems. • Development and application on the NPP of methods and technologies of lifetime management with use of in-service inspection, hydrotests, repair and reconstruction. • Development and application on the NPP of technology based on a LBB concept. • Development of technologies for prolongation of service life of NPP units. • Entrance control of a condition of the equipment and pipelines at a stage of construction and commissioning of new units. • Development of necessary normative base for performance of above the described results. In the report the example of the system decision of a operational problems is given.
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Reports on the topic "Operation Research/Decision Theory"

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Streufert, Siegfried, and Robert W. Swezey. Aspects of Cognitive Complexity Theory and Research as Applied to a Managerial Decision Making Simulation. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada161376.

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Muhoza, Cassilde, Wikman Anna, and Rocio Diaz-Chavez. Mainstreaming gender in urban public transport: lessons from Nairobi, Kampala and Dar es Salaam. Stockholm Environment Institute, May 2021. http://dx.doi.org/10.51414/sei2021.006.

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The urban population of Africa, the fastest urbanizing continent, has increased from 19% to 39% in the past 50 years, and the number of urban dwellers is projected to reach 770 million by 2030. However, while rapid urbanization has increased mobility and created a subsequent growth in demand for public transport in cities, this has not been met by the provision of adequate and sustainable infrastructure and services. The majority of low-income residents and the urban poor still lack access to adequate transport services and rely on non-motorized and public transport, which is often informal and characterized by poor service delivery. Lack of access to transport services limits access to opportunities that aren’t in the proximity of residential areas, such as education, healthcare, and employment. The urban public transport sector not only faces the challenge of poor service provision, but also of gender inequality. Research shows that, in the existing urban transport systems, there are significant differences in the travel patterns of and modes of transport used by women and men, and that these differences are associated with their roles and responsibilities in society. Moreover, the differences in travel patterns are characterized by unequal access to transport facilities and services. Women are generally underrepresented in the sector, in both its operation and decision-making. Women’s mobility needs and patterns are rarely integrated into transport infrastructure design and services and female users are often victims of harassment and assault. As cities rapidly expand, meeting the transport needs of their growing populations while paying attention to gender-differentiated mobility patterns is a prerequisite to achieving sustainability, livability and inclusivity. Gender mainstreaming in urban public transport is therefore a critical issue, but one which is under-researched in East Africa. This research explores gender issues in public transport in East Africa, focusing in particular on women’s inclusion in both public transport systems and transport policy decision-making processes and using case studies from three cities: Nairobi, Kampala and Dar es Salaam.
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Finkelstain, Israel, Steven Buccola, and Ziv Bar-Shira. Pooling and Pricing Schemes for Marketing Agricultural Products. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568099.bard.

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In recent years there has been a growing concern over the performance of Israel and U.S. agricultural marketing organizations. In Israel, poor performance of some marketing institutions has led to radical reforms. Examples are the two leading export industries - citrus and flowers. In the U.S., growth of local market power is eliminating competitive row product prices which served as the basis for farmer cooperative payment plans. This research studies, theoretically, several aspects of the above problem and develops empirical methods to assess their relative importance. The theoretical part deals with two related aspects of the operation of processing and marketing firms. The first is the technological structure of these firms. To this end, we formalize a detailed theory that describes the production process itself and the firm's decision. The model accounts for multiple products and product characteristics. The usefulness of the theory for measurement of productivity and pricing of raw material is demonstrated. The second aspect of the processing and marketing firm that we study is unique to the agricultural sector, where many such firms are cooperatives. In such cooperative an efficient and fair mechanism for purchasing raw materials from members is crucial to successful performances of the firm. We focus on: 1) pricing of raw materials. 2) comparison of employment of quota and price regimes by the cooperative to regulate the quantities, supplied by members. We take into consideration that the cooperative management is subject to pressure from member farmers. 3) Tier pricing for raw materials in order to ensure efficiency and zero profits at the cooperative level. This problem is examined in both closed and open cooperatives. The empirical part focuses in: 1) the development of methodologies for estimating demand for differentiated products; 2) assessing farmers response to component pricing; 3) measurement of potential and actual exploitation of market power by an agricultural marketing firm. The usefulness of the developed methodologies are demonstrated by several application to agricultural sub-sectors, including: U.S. dairy industry, Oregon wine industry, Israeli Cotton industry and Israeli Citrus industry.
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El-Rayes, Khaled, and Ernest-John Ignacio. Evaluating the Benefits of Implementing Mobile Road Weather Information Sensors. Illinois Center for Transportation, February 2022. http://dx.doi.org/10.36501/0197-9191/22-004.

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State departments of transportation (DOTs) have traditionally utilized fixed road weather information sensors (RWIS) to improve road safety during inclement weather; enhance the management of labor, equipment, and materials for winter road maintenance; and reduce adverse environmental impacts from road maintenance activities. Despite the benefits of these fixed RWIS sites, their coverage and effectiveness are limited because of their stationary locations. To overcome these limitations, recent advances in mobile road weather information sensing technology and cellular communications have enabled the development of mobile RWIS that can be deployed on vehicles to expand the limited coverage of fixed RWIS networks. Combining mobile RWIS, fixed RWIS networks, automatic vehicle location, and maintenance decision support systems (MDSS) provide DOTs with accurate georeferenced road and weather information that can be used by DOTs to optimize winter road maintenance operations and deicer applications. This report presents the findings of a research project funded by the Illinois Department of Transportation to investigate the effectiveness of mobile RWIS and MDSS in improving winter maintenance operations. This project had the following three objectives. First, conduct a literature review to gather and analyze current practices and latest research studies on mobile RWIS and their use for collecting real-time winter roadway conditions to optimize winter maintenance operations. Second, perform interviews with other state DOTs to gather and analyze their experiences and best management practices for the deployment and use of mobile RWIS and MDSS. Third, develop recommendations for a pilot study to evaluate the deployment and performance of mobile RWIS and MDSS in order to determine their effectiveness, implementation requirements, software/technology needs, operational challenges, and life-cycle costs.
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Sampson, James P., Debra S. Osborn, Emily Bullock-Yowell, Janet G. Lenz, Gary W. Peterson, Robert C. Reardon, V. Casey Dozier, Stephen J. Leierer, Seth C. W. Hayden, and Denise E. Saunders. An Introduction to Cognitive Information Processing Theory, Research, and Practice. Florida State University Libraries, August 2020. http://dx.doi.org/10.33009/fsu.1593091156.

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The primary purpose of this paper is to introduce essential elements of cognitive information processing (CIP) theory, research, and practice as they existed at the time of this writing. The introduction that follows describes the nature of career choices and career interventions, and the integration of theory, research, and practice. After the introduction, the paper continues with three main sections that include CIP theory related to vocational behavior, research related to vocational behavior and career intervention, and CIP theory related to career interventions. The first main section describes CIP theory, including the evolution of CIP theory, the nature of career problems, theoretical assumptions, the pyramid of information processing domains, the CASVE Cycle, and the use of the pyramid and CASVE cycle. The second main section describes CIP theory-based research in examining vocational behavior and establishing evidence-based practice for CIP theory-based career interventions. The third main section describes CIP theory related to career intervention practice, including theoretical assumptions, readiness for career decision making, readiness for career intervention, the differentiated service delivery model, and critical ingredients of career interventions. The paper concludes with regularly updated sources of information on CIP theory.
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DeRobertis, Michelle, Christopher E. Ferrell, Richard W. Lee, and David Moore. City Best Practices to Improve Transit Operations and Safety. Mineta Transportation Institute, April 2021. http://dx.doi.org/10.31979/mti.2021.1951.

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Public, fixed-route transit services most commonly operate on public streets. In addition, transit passengers must use sidewalks to access transit stops and stations. However, streets and sidewalks are under the jurisdiction of municipalities, not transit agencies. Various municipal policies, practices, and decisions affect transit operations, rider convenience, and passenger safety. Thus, these government entities have an important influence over the quality, safety, and convenience of transit services in their jurisdictions. This research identified municipal policies and practices that affect public transport providers’ ability to deliver transit services. They were found from a comprehensive literature review, interviews and discussions with five local transit agencies in the U.S., five public transportation experts and staff from five California cities. The city policies and practices identified fall into the following five categories: Infrastructure for buses, including bus lanes, signal treatments, curbside access; Infrastructure for pedestrians walking and bicycling to, and waiting at, transit stops and stations; Internal transportation planning policies and practices; Land development review policies; Regional and metropolitan planning organization (MPO) issues. The understanding, acknowledgment, and implementation of policies and practices identified in this report can help municipalities proactively work with local transit providers to more efficiently and effectively operate transit service and improve passenger comfort and safety on city streets.
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Chen, Stanley, Yaobin Chen, Renran Tian, Lingxi Li, Donglin Liu, Jue Zhou, and Dan Shen. Alternate Interchange Signing Study for Indiana Highways. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317439.

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The main objectives of this research were to (1) understand signing issues from the perspective of drivers and (2) develop recommendations for improving interchange signing in Indiana to aid driver understanding and increase the safety and efficiency of highway traffic operations. An online survey with specific questions was designed and distributed through email, social media, online newspapers, and a survey company with the goal of better understanding driver thinking when approaching decision-making areas on the interstate. The analysis of the survey results revealed the following. •Drivers usually do not know the interchange types as they approach an interchange on the freeway. •Drivers are most interested in which lanes they should be in when approaching an interchange, even in advance of typical signing locations. •Drivers do not like signs that require cognitive work since it will delay their driving decision by creating uncertainty. •Different drivers need different types of information from signs, such as cardinal direction, destination name, road name, and lane assignments. Therefore, a perfect sign for one driver may be confusing or information overload for another driver. •In some instances, a driver who is familiar with the area is confused by the signs because the sign information contradicts the driver’s knowledge.
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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), April 2022. http://dx.doi.org/10.21079/11681/43862.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided.
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Acred, Aleksander, Milena Devineni, and Lindsey Blake. Opioid Free Anesthesia to Prevent Post Operative Nausea/Vomiting. University of Tennessee Health Science Center, July 2021. http://dx.doi.org/10.21007/con.dnp.2021.0006.

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Purpose The purpose of this study is to compare the incidence of post-operative nausea and vomiting (PONV) in opioid-utilizing and opioid-free general anesthesia. Background PONV is an extremely common, potentially dangerous side effect of general anesthesia. PONV is caused by a collection of anesthetic and surgical interventions. Current practice to prevent PONV is to use 1-2 antiemetics during surgery, identify high risk patients and utilize tracheal intubation over laryngeal airways when indicated. Current research suggests minimizing the use of volatile anesthetics and opioids can reduce the incidence of PONV, but this does not reflect current practice. Methods In this scoping review, the MeSH search terms used to collect data were “anesthesia”, “postoperative nausea and vomiting”, “morbidity”, “retrospective studies”, “anesthesia, general”, “analgesics, opioid”, “pain postoperative”, “pain management” and “anesthesia, intravenous”. The Discovery Search engine, AccessMedicine and UpToDate were the search engines used to research this data. Filters were applied to these searches to ensure all the literature was peer-reviewed, full-text and preferably from academic journals. Results Opioid free anesthesia was found to decrease PONV by 69%. PONV incidence was overwhelming decreased with opioid free anesthesia in every study that was reviewed. Implications The future direction of opioid-free anesthesia and PONV prevention are broad topics to discuss, due to the nature of anesthesia. Administration of TIVA, esmolol and ketamine, as well as the decision to withhold opioids, are solely up to the anesthesia provider’s discretion. Increasing research and education in the importance of opioid-free anesthesia to decrease the incidence of PONV will be necessary to ensure anesthesia providers choose this protocol in their practice.
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Sealza, Lita. Factors affecting the family planning program drop-out rate in Bukidnon, Philippines. Population Council, 1994. http://dx.doi.org/10.31899/rh1994.1002.

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This study has involved interviews with a randomly selected sample of 389 family planning (FP) acceptors from 20 barangays in Bukidnon province, Philippines. Respondents were currently married women who had either continued to use family planning (FP) since their initial acceptance (current users) or who had stopped using FP altogether (dropouts). Findings from the present study are expected to shed light on several aspects of the dropout problem, namely: How extensive is this problem and how accurate are the DOH records in this regard? How do FP acceptors view their local FP clinic and the services offered? What reasons are given by the dropouts for their decision to stop using FP? What are the factors associated with dropping out? As noted in this report, the study was made possible through support provided by the Population Council under its Family Planning Operations Research and Training (FPORT) Program.
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