Relevant bibliographies by topics / Decision-making – Methodology

Contents

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

Academic literature on the topic 'Decision-making – Methodology'

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

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Journal articles on the topic "Decision-making – Methodology"

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Brezillon, Patrick, Juliette Brezillon, and Jean-Charles Pomerol. "Context-Based Methodology for Decision Making." International Journal of Decision Support System Technology 1, no. 3 (July 2009): 1–20. http://dx.doi.org/10.4018/jdsst.2009070101.

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Сморгунов, Леонид, and Александр Павроз. "Political Decision Making: Theory and Methodology." Полис. Политические исследования, no. 4 (2005): 179–83. http://dx.doi.org/10.17976/jpps/2005.04.14.

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Vinaja, Roberto. "Information Technology Investment: Decision-Making Methodology." Journal of Global Information Technology Management 8, no. 3 (July 2005): 1. http://dx.doi.org/10.1080/1097198x.2005.10856404.

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Frankovsky, Miroslav, Zuzana Birknerova, Lucia Zbihlejova, and Ladislav Suhanyi. "Measuring Managerial Decision-Making: The DMQ Methodology." Journal of Corporate Governance Research 1, no. 1 (November 27, 2017): 27. http://dx.doi.org/10.5296/jcgr.v1i1.12198.

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Decision-making plays an important role in management as managers´ decisions have a multiplicative impact in various areas of organization. However, managerial decision-making is influenced by a number of personality and situational factors. The contribution thus presents the results of verification of a new, original methodology Decision-Making Questionnaire (DMQ), proposed on the basis of the Vroom-Yetton model of decision-making (Fotr et al. 2006). From the methodological viewpoint, DMQ is based on the dispositional, trans-situational approach to studying personality traits. The factor analysis enabled extraction of four factors explaining 47% of variance. These factors represent four decision-making styles defined by two dimensions (own information – acquired information, I make my own decisions – I make collective decisions with others).
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Tillman, Anne-Marie. "Significance of decision-making for LCA methodology." Environmental Impact Assessment Review 20, no. 1 (February 2000): 113–23. http://dx.doi.org/10.1016/s0195-9255(99)00035-9.

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Shukla, Vikas, Guillaume Auriol, and Keith W. Hipel. "Multicriteria Decision-Making Methodology for Systems Engineering." IEEE Systems Journal 10, no. 1 (March 2016): 4–14. http://dx.doi.org/10.1109/jsyst.2014.2344635.

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Erde, Edmund L. "Decision making methodology in bioethics: An introduction." Theoretical Medicine 12, no. 4 (December 1991): 277–79. http://dx.doi.org/10.1007/bf00489888.

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Tamura, Leonardo Yuji. "THE MAKING OF DECISION MAKING." Administração: Ensino e Pesquisa 17, no. 1 (April 30, 2016): 177–99. http://dx.doi.org/10.13058/raep.2016.v17n1.416.

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Quantum Electronics was a Brazilian startup in the 1990's that was acquired by an American equity fund in 2012. They are currently the largest manufacturer of vehicle tracking and infotainment systems. The company was founded by three college friends, who are currently executives at the company: Camilo Santos, Pedro Barbosa and Luana Correa. Edward Hutter was sent by the equity fund to take over the company’s finances, but is having trouble making organizational decisions with his colleagues. As a consultant, I was called to help them improve their decision making process and project prioritization. I adapted and deployed our firm's methodology, but, in the end, its adequacy is shown to be very much in question. The author of this case study intends to explore how actual organizational decisions rely on different decision models and their assumptions, .as well as demonstrate that a decision model is neither absolutely good nor bad as its quality is context dependent.
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Vlasova, Tatiana Ivanovna. "IMPLEMENTATION OF DECISION MAKING METHODOLOGY IN PROJECT MANAGEMENT." Bulletin of the Moscow State Regional University (Economy), no. 4 (2016): 62–69. http://dx.doi.org/10.18384/2310-6646-2016-4-62-69.

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Poh Ai Ling, Amy, Mohamad Nasir Saludin, and Masao Mukaidono. "Deriving consensus rankings via multicriteria decision making methodology." Business Strategy Series 13, no. 1 (January 6, 2012): 3–12. http://dx.doi.org/10.1108/17515631211194571.

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Dissertations / Theses on the topic "Decision-making – Methodology"

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Nilsson, Maria. "Capturing semi-automated decision making : the methodology of CASADEMA." Doctoral thesis, Örebro universitet, Akademin för naturvetenskap och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-12559.

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This thesis presents a new methodology named CASADEMA (CApturing Semi-Automated DEcision MAking) which captures the interaction between humans and the technology they use to support their decision-making within the domain of Information Fusion. We are particularly interested in characterising the interaction between human decision makers and artefacts in semi-automated fusion processes. In our investigation we found that the existing approaches are limited in their ability to capture such interactions in sufficient detail. The presented method is built upon a distributed-cognition perspective. The use of this particular theoretical framework from cognitive science enables the method to take into account not only the role of the data captured in the physical and digital artefacts of the fusion system (e.g., radar readings, information from a fax or database, a piece of paper, etc.), but also the cognitive support function of the artefacts themselves (e.g., as an external memory) as part of the fusion process. That is, the interdependencies between the fusion process and decision-making can be captured. This thesis thus contributes to two main fields. Firstly, it enables, through CASADEMA, a distributed-cognition perspective of fusion processes in the, otherwise, rather technology-oriented field of Information Fusion. This has important conceptual implications, since it views fusion processes as extending beyond the boundary of physical/computer systems, to include humans, technology, and tools, as well as the interactions between them. It is argued that a better understanding of these interactions can lead to a better design of fusion processes, making CASADEMA an important contribution to the information fusion field. Secondly, the thesis provides, again in the form of CASADEMA, a practical application of the distributed-cognition theoretical framework. Importantly, the notations and definitions introduced in CASADEMA structure the otherwise currently rather loosely defined concepts and approaches in distributed cognition research. Hence, the work presented here also contributes to the fields of cognitive science and human-computer interaction.

Examining Committee: Henrik Artman, Docent (Kungliga tekniska högskolan), Nils Dahlbäck, Professor (Linköpings universitet), Anna-Lisa Osvalder, Professor (Chalmers tekniska högskola)

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Sanchez, Perez Carlos Eduardo. "Decision Making Methodology for the Selection of Gas-liquid Separators." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for energi- og prosessteknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19074.

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Gas liquid separation is a critical operation in many industries, including the gas and oil industry. In fact, costly equipment like heat exchangers and compressors rely on the good performance of gas scrubbers. In the particular case of Norway, most of these operations are offshore where the plot area is critical. On the other hand, the separation of liquid droplets from the gas stream is generally performed in bulky and heavy pressure vessels. More compact technologies are emerging though. However, it is becoming difficult to select the appropriate separator and it is required engineering experience. Therefore, the objective of this project is to develop mathematical models for selected technologies to facilitate the selection. The technologies selected were the traditional knitted mesh separator and the recent multi-cyclone scrubber. The models provide the basic dimensions, weight, purchase and installed costs for both scrubbers. The results of both models were compared and extrapolated to hypothetical situations to establish when a compact technology becomes competitive. For this comparison, gas load factor and costs per flow rate were used. In fact the vessel compactness is related to the former. Therefore, it is intended to have values much higher than 0.107 m/s corresponding to traditional separators at atmospheric pressure. In fact, a factor slightly higher than 0.14 m/s would make very competitive multi-cyclones; which can be achieved at pressures higher than 70-80 bar. Furthermore, technologies with factors up 0.5 to 1 m/s might be much more attractive. Nevertheless, there would be restrictions in achieving the maximum gas load factor expected.
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Rider, Conrad Edgar Scott. "Methodology for eliciting, encoding and simulating human decision making behaviour." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/5865.

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Agent-based models (ABM) are an increasingly important research tool for describing and predicting interactions among humans and their environment. A key challenge for such models is the ability to faithfully represent human decision making with respect to observed behaviour. This thesis aims to address this challenge by developing a methodology for empirical measurement and simulation of decision making in humanenvironment systems. The methodology employs the Beliefs-Desires-Intentions (BDI) model of human reasoning to directly translate empirically measured decision data into artificial agents, based on sound theoretical principles. A common simulated decision environment is used for both eliciting human decision making behaviour, and validating artificial agents. Using this approach facilitates the collection of decision making narratives by way of participatory simulation, and promotes a fair comparison of real and modelled decision making. The methodology is applied in two case studies: One to carry out a trial involving human subjects solving an abstract land-use problem, and another to examine the feasibility of up-scaling the methodology to a real agricultural scenario—dairy farming. Results from the experiments indicate that the BDI-based methodology achieved reasonably direct encoding of decision making behaviour from elicited human narratives. The main limitations found with the technique are: (1) the significant use of subjects’ time required to elicit their decision making behaviour; (2) the significant programming effort required; and (3) the challenge of aggregating behaviour from multiple subjects into a generalised decision making model. In spite of its limitations, BDI has shown its strengths as a tool for empirical analysis and simulation of decision making in research of human-environment systems.
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Blackwell, Paul. "A decision-making methodology for integrating information systems within SMEs." Thesis, Cranfield University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396995.

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Zhou, Jingyue. "A methodology for strategy development in complex business environments." Thesis, Manchester Metropolitan University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307592.

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Briceño, Simón Ignacio. "A game-based decision support methodology for competitive systems design." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26671.

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This dissertation describes the development of a game-based methodology that facilitates the exploration and selection of research and development (R&D) projects under uncertain competitive scenarios. The proposed method provides an approach that analyzes competitor positioning and formulates response strategies to forecast the impact of technical design choices on a project's market performance. A critical decision in the conceptual design phase of propulsion systems is the selection of the best architecture, centerline, core size, and technology portfolio. A key objective of this research is to examine how firm characteristics such as their relative differences in completing R&D projects, differences in the degree of substitutability between different project types, and first/second-mover advantages affect their product development strategies. Several quantitative methods are investigated that analyze business and engineering strategies concurrently. In particular, formulations based on the well-established mathematical field of game theory are introduced to obtain insights into the project selection problem. The use of game theory is explored in this research as a method to assist the selection process of R&D projects in the presence of imperfect market information. The proposed methodology focuses on two influential factors: the schedule uncertainty of project completion times and the uncertainty associated with competitive reactions. A normal-form matrix is created to enumerate players, their moves and payoffs, and to formulate a process by which an optimal decision can be achieved. The non-cooperative model is tested using the concept of a Nash equilibrium to identify potential strategies that are robust to uncertain market fluctuations (e.g: uncertainty in airline demand, airframe requirements and competitor positioning). A first/second-mover advantage parameter is used as a scenario dial to adjust market rewards and firms' payoffs. The methodology is applied to a commercial aircraft engine selection study where engine firms must select an optimal engine project for development. An engine modeling and simulation framework is developed to generate a broad engine project portfolio. The proposed study demonstrates that within a technical design environment, a rational and analytical means of modeling project development strategies is beneficial in high market risk situations.
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Vacharaphol, Oratai. "Extended modelling methodology to facilitate integrated decision making in manufacturing enterprises." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12521.

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This research has highlighted the importance of the multiple roles in design and change organizations and the benefits to have quantitative tools and qualitative tools to support decision making. Hence the aims and objectives of this research are a model driven approach to support integrated decision making in MEs. The author has identified a gap in the lack of a systematic way to model MEs to facilitate integrated decision making. Initial Modelling Methodology (IMM) has been established based on Manufacturing System Integration (MSI) group at Loughborough University so that improvement of this methodology can be investigated to facilitate integrated decision making. Artwork is an industrial furniture manufacturer based in Loughborough and is used as the company case study of this research. IMM has been tested in exploratory research case 1 at a low level of production at Artwork. The experimentations of case 1 have been carried out to study the impact of product volume and variety on specific process section at low level. The result has shown that IMM lacks the ability to facilitate integrated decision making aspect and it can be developed to achieve aims and objectives. This leads to additional concepts of (1) modelling at different level of abstraction to realise the benefit of multiple levels of modelling, (2) deploying the improved views of W, P and R sub-systems to assist in exercising simulation modelling and (3) identifying possible users in planning with scope and focus of decision making. These three concepts were added into IMM and known as Extended Modelling Methodology (EMM). The EMM has been tested in exploratory research case 2 at a mid-level of production system at Artfrom with four types of experimentations: 1) balancing resources of production system, 2) demand change, 3) rework impact and 4) delay impact. The evaluation of results has shown a systematic way of the EMM to facilitate decision making individually and collectively. Therefore the overall research contributions are a new model driven approach to support conceptual design and change of manufacturing systems in aspect of integrated decision making. However, limitations of this research can be addressed as limited availability of data, range and detail of case studies and limited range of modelling techniques explored here. It follows that scopes of future works are utilization of EMM in other domains, consideration of other reference models, investigation of EMM in other company case studies and establishment of a comprehensive database applied in EMM and development of coherent simulation models. In addition, this thesis has also presented ongoing research on developing and testing EMM in another company case study in aircraft engine manufacturer.
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Strauss, Richard. "A methodology for measuring the judgemental components of situtation awareness." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/24153.

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Hall, Martin Lewis Walter. "Systems thinking and human values : towards a practical organisational intervention methodology." Thesis, University of Lincoln, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387702.

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Jaime, Esqueda Manuel Eduardo 1970. "Product line streamlining : a methodology to guide product costing and decision-making." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9886.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 1998.
Includes bibliographical references (leaf 64).
by Manuel Eduardo Jamie Esqueda.
M.B.A.
S.M.
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Books on the topic "Decision-making – Methodology"

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Roy, Bernard. Multicriteria methodology for decision aiding. Dordrecht: Kluwer Academic Publishers, 1996.

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Schniederjans, Marc J. Information technology investment: Decision-making methodology. 2nd ed. Hackensack, NJ: World Scientific, 2004.

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Schniederjans, Marc J. Information technology investment: Decision-making methodology. 2nd ed. River Edge, N.J: World Scientific, 2010.

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Schniederjans, Marc J. Information technology investment: Decision-making methodology. 2nd ed. Hackensack, NJ: World Scientific, 2004.

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L, Hamaker Jamie, and Schniederjans Ashlyn M, eds. Information technology investment: Decision-making methodology. River Edge, N.J: World Scientific, 2004.

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Bernard, Roy. Multicriteria methodology for decision aiding. Dordrecht, Netherlands: Kluwer Academic Publishers, 1996.

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W, Bruck H., Sapin Burton M, Hudson Valerie M. 1958-, Chollet Derek H, Goldgeier James M, and Snyder Richard Carlton 1916-, eds. Foreign policy decision-making revisited. New York: Palgrave Macmillan, 2002.

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Institute, Pennsylvania Bar. Decision making for lawyers. Mechanicsburg, Pennsylvania: Pennsylvania Bar Institute, 2015.

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"Discovery" in legal decision-making. Dordrecht: Kluwer Academic Publishers, 1996.

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S, Carroll John. Decision research: A field guide. Newbury Park: Sage Publications, 1990.

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Book chapters on the topic "Decision-making – Methodology"

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Skořepa, Michal. "Methodology of Decision Science." In Decision Making, 72–127. London: Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-1-137-28565-2_5.

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Majumder, Mrinmoy, and Soumya Ghosh. "Decision Making Methodology." In Decision Making Algorithms for Hydro-Power Plant Location, 21–26. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-63-5_3.

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Dong, Yucheng, and Jiuping Xu. "Consistency-Driven Methodology." In Linguistic Decision Making, 107–40. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2916-6_5.

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Mu, Enrique, and Milagros Pereyra-Rojas. "The Need for Another Decision-Making Methodology." In Practical Decision Making, 3–6. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33861-3_1.

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Anderson, Norman H., and Margaret A. Armstrong. "Cognitive Theory and Methodology for Studying Marital Interaction." In Dyadic Decision Making, 3–50. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3516-3_1.

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Samitsch, Christoph. "Methodology." In Data Quality and its Impacts on Decision-Making, 29–38. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-08200-0_4.

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Majumder, Mrinmoy, and Soumya Ghosh. "Methodology." In Decision Making Algorithms for Hydro-Power Plant Location, 35–56. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-63-5_5.

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Thurston, Deborah L. "Group Decision Making in Design." In Mechanical Design: Theory and Methodology, 161–94. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2561-2_8.

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Kumar, Navin. "Research Methodology." In Chronic Regulatory Focus and Financial Decision-Making, 31–38. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-694-2_4.

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Rosenthal, Uriel, and Menno J. Van Duin. "Decision Making in Technological Emergencies." In Social Decision Methodology for Technological Projects, 277–95. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2425-3_15.

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Conference papers on the topic "Decision-making – Methodology"

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Timar, D. Balas, and V. E. Balas. "Decision-Making in Human Resources Selection Methodology." In 2007 2nd International Workshop on Soft Computing Applications. IEEE, 2007. http://dx.doi.org/10.1109/sofa.2007.4318316.

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Xu, James Y., Connor Branch, and Yingxu Wang. "A Methodology and Experiments towards Autonomous Decision Making." In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9283351.

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Zhong, Yinghong. "Soft Systems Methodology Based on Decision Making Knowledge Integration." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.1405.

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Blackwell, Chris, Edgar Ivan Cote, and Colin Gagne. "A Decision Making Methodology for Cost Effectively Managing Pipeline Risk." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90430.

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To aid with making risk-based pipeline management decisions, a methodology is required to evaluate the cost-benefit of various pipeline operation strategies as a function of time. This methodology should provide consideration to evaluating an existing asset with active damage mechanisms and imperfections in various states of severity. In this paper, the subject of the methodology is a typical transmission pipeline with the following properties: • Transports refined liquid products; • Mid-size diameter (NPS 8 to NPS 16); • Telescoping wall thickness based on proximity to pump stations (4 to 6 mm); • High pressure (9930 kPa); • Approximately 50 years of operating history; and • Approximately 500 km long. The objective of this analysis is to determine the best operation strategy for the subject pipeline in terms of cost-effective risk management. The methodology considered four different risk management strategies: • Operate and Maintain (O&M) at 100% of Maximum Operating Pressure (MOP): ○ A maintenance strategy involving in-line inspection and defect repair based on a function of probability and consequence of failure while operating at 100% of MOP. • Operate and Maintain (O&M) at 50% of Maximum Operating Pressure (MOP): ○ Similar to the previous strategy except an additional form of mitigation is applied by reducing the operating pressure of the pipeline to 50% of MOP. • Inspect, Repair and Re-coat (IRR): ○ A maintenance strategy involving complete excavation of the entire pipeline, inspection and repair of any defects, re-coat and burial. • Pipeline Replacement: ○ A maintenance strategy where the existing asset is abandoned and replaced with a new pipeline. To complete the analysis, two predictive models to determine probability of failure (POF) and consequence of failure (COF) were created using quantitative and semi-quantitative approaches. Consideration was given to both time dependent imperfections and time independent damage mechanisms. The effects of each risk management strategy were projected in both models over a timeline of 20 years. The results were aligned to a risk matrix with defined risk thresholds to aid in determining the acceptability of each risk management strategy. To evaluate the effectiveness of each risk management strategy, a cost-benefit ratio was used. This ratio was defined as the predicted risk reduction through the implementation of each strategy over the costs required for execution. Maximizing this ratio would represent the optimal strategy at any given point in time. Completing the analysis showed that over the short term the O&M strategy was the most cost-effective methodology to mitigate risk. However, as a pipeline ages and repairs become more frequent, the replacement strategy becomes more favorable. The analysis predicted a time interval where if the subject pipeline is to be operated beyond this point in time then replacement as soon as possible is the best strategy to employ. This time interval is different between pipelines and heavily dependent on the rate and severity of damage. The results in this paper illustrate an example and utilizing the methodology discussed will produce different results on a case-by-case basis.
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Fang, Manchun, and David Mason. "Establishing Prioritization Methodology for Supporting Decision Making in Defence Infrastructure." In 2020 9th International Conference on Industrial Technology and Management (ICITM). IEEE, 2020. http://dx.doi.org/10.1109/icitm48982.2020.9080359.

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Doraiswamy, Srikanth, Sundar Krishnamurty, and Ian R. Grosse. "Decision Making in Finite Element Analysis." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/cie-9058.

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Abstract In the absence of analytical expressions for design performance parameters, designers must often resort to either statistical or computer-based numerical techniques for performance estimation. Computer-based techniques without adequate assumptions are often very expensive and thus are infeasible for a complex design. Statistical response surface methods are cheaper, but they have poor accuracy for complex design configurations. Moreover, an initial set of data points are needed for the response surface methodology, which can only be obtained by computer-based techniques or real world data. Finally, the selection of an appropriate model to evaluate a design should be based on designer’s preferences. This paper addresses these issues through the development of a decision based modeling methodology that effectively unites the numerical and statistical approaches. In this work, concepts from decision analysis are employed to deal with trade-offs between modeling attributes from a maximum expected utility perspective to identify “overall best” finite element models based on performance attributes such as analysis accuracy, computational cost and model resolution. Its utilization in a design setup is illustrated with the aid of a windshield wiper case study for selecting the best overall finite element analysis model.
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de Paiva, Davi F., Natan Santos, Edson C. Bortoni, and Roberto A. Yamachita. "Decision Making On Generator for Wind Turbines Using the AHP Methodology." In 2019 IEEE Milan PowerTech. IEEE, 2019. http://dx.doi.org/10.1109/ptc.2019.8810429.

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Dangare, Akshay Vasant, and Ankita Viiavkumar Kottur. "House-Viz: A Methodology to Visualize Search Results for Decision Making." In 2018 3rd International Conference for Convergence in Technology (I2CT). IEEE, 2018. http://dx.doi.org/10.1109/i2ct.2018.8529787.

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Latorre Biel, Juan Ignacio, and Emilio Jimenez Macias. "Efficient Methodology for High Level Decision Making on a Manufacturing Facility." In 2013 8th EUROSIM Congress on Modelling and Simulation (EUROSIM). IEEE, 2013. http://dx.doi.org/10.1109/eurosim.2013.68.

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Scarlatache, Florina, Gheorghe Grigoras, and Bogdan Neagu. "Decision making methodology based on fuzzy logic in optimal DG location." In 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2016. http://dx.doi.org/10.1109/ecai.2016.7861181.

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Reports on the topic "Decision-making – Methodology"

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Roth, J. T. Development of a Methodology for Collective Training Decision Making in Army Units. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada250061.

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Goldstein, G. A. MARKAL-MACRO: A methodology for informed energy, economy and environmental decision making. Informal report. Office of Scientific and Technical Information (OSTI), May 1995. http://dx.doi.org/10.2172/90675.

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Temple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, James I. Rineer, Daniel Lapidus, Kemen Austin, Katherine P. Woodward, and Robert H. Beach III. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, August 2019. http://dx.doi.org/10.3768/rtipress.2019.rb.0021.1908.

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Despite notable progress in reducing global poverty and hunger in recent decades, about one out of nine people in the world suffers from hunger and malnutrition. Stakeholders charged with making decisions pertaining to agricultural production, development priorities, and policies at a region-to-country scale require quantitative and up-to-date information on the types of crops being cultivated, the acreage under cultivation, and crop yields. However, many low- and middle-income countries lack the infrastructure and resources for frequent and extensive agricultural field surveys to obtain this information. Technology supports a change of paradigm. Traditional methods of obtaining agricultural information through field surveys are increasingly being augmented by images of the Earth acquired through sensors placed on satellites. The continued improvement in the resolution of satellite images, the establishment of open-access infrastructure for processing of the images, and the recent revolutionary progress in artificial intelligence make it feasible to obtain the information at low cost and in near-to-real time. In this brief, we discuss the use of satellite images to provide information about agricultural production in low-income countries, and we comment on research challenges and opportunities. We highlight the near-term potential of the methodology in the context of Rwanda, a country in sub-Saharan Africa whose government has recognized early the value of information technology in its strategic planning for food security and sustainability.
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Yantosik, G., K. Lerner, D. Maloney, and F. Wasmer. When and how to end shelter-in-place protection from a release of airborne hazardous material : report on a decision-making concept and methodology. Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/792137.

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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.

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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.
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Hubbard, Sarah M., and Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.

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Unmanned aerial systems (UAS) are increasingly used for a variety of applications related to INDOT’s mission including bridge inspection, traffic management, incident response, construction and roadway mapping. UAS have the potential to reduce costs and increase capabilities. Other state DOTs and transportation agencies have deployed UAS for an increasing number of applications due to technology advances that provide increased capabilities and lower costs, resulting from regulatory changes that simplified operations for small UAS under 55 pounds (aka, sUAS). This document provides an overview of UAS applications that may be appropriate for INDOT, as well as a description of the regulations that affect UAS operation as described in 14 CFR Part 107. The potential applications were prioritized using Quality Function Deployment (QFD), a methodology used in the aerospace industry that clearly communicates qualitative and ambiguous information with a transparent framework for decision making. The factors considered included technical feasibility, ease of adoption and stakeholder acceptance, activities underway at INDOT, and contribution to INDOT mission and goals. Dozens of interviews with INDOT personnel and stakeholders were held to get an accurate and varied perspective of potential for UAVs at INDOT. The initial prioritization was completed in early 2019 and identified three key areas: UAS for bridge inspection safety as a part of regular operations, UAS for construction with deliverables provided via construction contracts, and UAS for emergency management. Descriptions of current practices and opportunities for INDOT are provided for each of these applications. An estimate of the benefits and costs is identified, based on findings from other agencies as well as projections for INDOT. A benefit cost analysis for the application of UAS for bridge inspection safety suggests a benefit cost over one for the analysis period.
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