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Relevant bibliographies by topics / Making design decisions

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Academic literature on the topic 'Making design decisions'

Author: Grafiati

Published: 28 May 2022

Last updated: 29 May 2022

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Journal articles on the topic "Making design decisions"

1

Tang, Antony, Rick Kazman, and George Fairbanks. "Decision-Making Principles for Better Software Design Decisions." IEEE Software 38, no. 6 (2021): 98–102. http://dx.doi.org/10.1109/ms.2021.3102358.

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Ross, Susan Mallon. "Book Review: Making Instructional Design Decisions." Journal of Business and Technical Communication 13, no. 1 (1999): 105–9. http://dx.doi.org/10.1177/105065199901300108.

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Putri, Silvia, and Halmawati Halmawati. "Pengaruh Financial Literacy, Representativeness Bias, Dan Bias Optimisme Terhadap Pengambilan Keputusan Investasi." JURNAL EKSPLORASI AKUNTANSI 2, no. 3 (2020): 2976–91. http://dx.doi.org/10.24036/jea.v2i3.263.

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This study aims to analyze 1) whether there is an influence of financial literacy on investment decision maknig. 2) Obtain empirical evidence whether there is an Representativeness bias making on investment decisions. 3) Does Bias optimisme affect investment decision making. In this study using Causality Design. Population and sampek are 104 respondents registered in the Indonesia Stock Exchange Investment Gallery (GIBEI) Faculty of Economics, State University of Padang. The method of analysis is multiple linear regression. The results of the study found 1) Financial literacy influences invest

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Bitan, Yuval, Roy Ilan, Steven D. Harris, and Keith S. Karn. "Multidisciplinary Approach to Critical Care Design." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 5, no. 1 (2016): 31–37. http://dx.doi.org/10.1177/2327857916051008.

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The goal of this project is to improve clinical decision-making in the intensive care unit (ICU) environment. Making the optimal decisions depends on the quality and timeliness of the information available to the clinician. We believe that healthcare professionals will make better clinical decisions when the relevant information is collected and organized in a manner appropriate to support in situ decision-making. This is especially important in complex situations such those commonly encountered in the ICU environment. Currently there is no single integrated source of information that presents

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Fathianathan, M., and J. H. Panchal. "Modelling an ongoing design process utilizing top-down and bottom-up design strategies." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (2008): 547–60. http://dx.doi.org/10.1243/09544054jem1208.

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The product design process plays a central role in ensuring that new products are realized with improved quality, in a short lead-time and with costs kept to a minimum. It is identified that making decisions dynamically on how the design process should proceed is not trivial. A computational environment that aids dynamic decision making on the design process would be useful in ensuring successful design of new products. A key component of analysing and making decisions on the progression of the design process is a model that captures an ongoing design process. In this paper, an approach to mod

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Habermann, Barbara, Ju Young Shin, and Gretchen Shearer. "Dyadic Decision-Making in Advanced Parkinson’s Disease: A Mixed Methods Study." Western Journal of Nursing Research 42, no. 5 (2019): 348–55. http://dx.doi.org/10.1177/0193945919864429.

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People with advanced Parkinson’s disease (PD) are living at home being cared for by a family member. Decisions about health care and living preferences are made in a family context. The aims of the study were to (a) examine the types and timing of the decisions being made by dyads (person with Parkinson’s [PWP] and caregiver) in advanced PD; and (b) explore perceived decision quality relative to specific decisions made. A mixed methods design of semi-structured dyad interviews followed by individual completion of decision measures twice at six months apart was utilized. Decisions involved obta

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Klein, Gary A., and Christopher P. Brezovic. "Design Engineers and the Design Process: Decision Strategies and Human Factors Literature." Proceedings of the Human Factors Society Annual Meeting 30, no. 8 (1986): 771–75. http://dx.doi.org/10.1177/154193128603000809.

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The types of human perception and performance information that training device designers need in making design decisions were studied to identify the types of human performance data needed to make these decisions. A total of 50 experienced designers were studied. For a subset of 39 of these designers, the interviews focused on critical design decisions where there was a need for human perception and performance data. The utility of the sources used in the decision was assessed and showed the present technical literature database of little value in the problem solving of the designers. The data

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Joshi, S. P., J. R. Umaretiya, and Sanjay B. Joshi. "Decision-making in preliminary engineering design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 5, no. 1 (1991): 21–30. http://dx.doi.org/10.1017/s0890060400002511.

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A designer often has to deal with complex and ill-structured situations during specification synthesis and preliminary engineering design. To assist in the development of computer-aided design systems, it is desirable to capture the designers decision-making process during these design states. The research presented in this paper is towards this direction. Based on the conceptual understanding of the process, three postulates are presented. The following two postulates; (1) the decisions are neither optimum nor just satisfying but retain certain characteristics of both, (2) the design is drive

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Liu, Changqing, and Xiaoqian Chen. "Data-driven design paradigm in engineering problems." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 8 (2016): 1522–34. http://dx.doi.org/10.1177/0954410016653502.

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Engineering design problems can, in general, be discussed under the framework of decision making, namely engineering design decisions. Inherently, accounting for uncertainty factors is an indispensable part in these decision processes. In a sense, the goal of design decisions is to control or reduce the variational effect in decision consequences induced by many uncertainty factors, by optimizing an expected utility objective or other preference functions. In this paper, the value of data in facilitating making engineering design decisions is highlighted, and a data-driven design paradigm for

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Palani Raj, K., and G. Veeramani. "Marketing Based Decision Making Process in Engineering Design." International Journal of Engineering & Technology 7, no. 4.36 (2018): 854. http://dx.doi.org/10.14419/ijet.v7i4.36.24545.

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Marketing based decision making process in engineering design is an important study required for industries. How to take efficient decision in design that influence marketing? Most of the engineering design decisions are based on consumer behaviour. Decision making in risk and uncertainty in engineering design is an important phenomenon. Cost and time are the two important factors that results loss because of inefficient decision and it affects marketing. Problems involved in marketing based engineering design and decision making process in solving problems is elaborately studied in this journ

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Dissertations / Theses on the topic "Making design decisions"

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Carey, Emily. "Visually informed support for design engineering decisions." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698983.

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It is a truism that the amount of information being generated in the modern digital world is increasing at an exponential rate. This is influencing engineering as it is in other forms of business, as well as everyday life. Engineering has a significant visual dimension to it: drawings, diagrams, sketches, photographs, graphs are the everyday language of the engineer. Despite the prevalence of such visual information, the role that such information plays and how it affects, for example, how documents can be reused is an under-researched area. This thesis thus proposes the important role of visu

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Baig, Shakeel. "Experiences of Public Agency Managers When Making Outsourcing Decisions." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3972.

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Managers in state transportation agencies in the United States must frequently choose between using the talents and abilities of in-house staff or outsourcing for road and bridge design projects. Budgetary crises have strongly affected funding for transportation infrastructure. Facing budgetary pressures to suppress costs, managers must frequently make the choice of outsourcing a project or performing it in-house. Yet, decision-making models for these decisions are inadequate. The purpose of this phenomenological study was to explore and describe the lived experiences of public agency managers

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Stout, Todd Michael. "The role of product development metrics for making design decisions in the defnese aeorspace industry." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/38122.

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Malak, Richard J. Jr. "Using parameterized efficient sets to model alternatives for systems design decisions." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26697.

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Thesis (Ph.D)--Mechanical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Paredis, Christiaan J.J.; Committee Member: Bras, Bert; Committee Member: Choudhary, Ruchi; Committee Member: McGinnis, Leon; Committee Member: Rosen, David. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Claudé, Mélanie, and Dorian Combe. "THE ROLES OF ARTIFICIAL INTELLIGENCE AND HUMANS IN DECISION MAKING: TOWARDS AUGMENTED HUMANS? : A focus on knowledge-intensive firms." Thesis, Umeå universitet, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-150022.

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With the recent boom in big data and the continuous need for innovation, Artificial Intelligence is carving out a bigger place in our society. Through its computer-based capabilities, it brings new possibilities to tackle many issues within organizations. It also raises new challenges about its use and limits. This thesis aims to provide a better understanding of the role of humans and Artificial Intelligence in the organizational decision making process. The research focuses on knowledge-intensive firms. The main research question that guides our study is the following one: How can Artifici

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Lafleur, Jarret Marshall. "A Markovian state-space framework for integrating flexibility into space system design decisions." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43749.

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The past decades have seen the state of the art in aerospace system design progress from a scope of simple optimization to one including robustness, with the objective of permitting a single system to perform well even in off-nominal future environments. Integrating flexibility, or the capability to easily modify a system after it has been fielded in response to changing environments, into system design represents a further step forward. One challenge in accomplishing this rests in that the decision-maker must consider not only the present system design decision, but also sequential future des

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Long, Yanjin. "Supporting Learner-Controlled Problem Selection in Intelligent Tutoring Systems." Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/653.

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Many online learning technologies grant students great autonomy and control, which imposes high demands for self-regulated learning (SRL) skills. With the fast development of online learning technologies, helping students acquire SRL skills becomes critical to student learning. Theories of SRL emphasize that making problem selection decisions is a critical SRL skill. Research has shown that appropriate problem selection that fit with students’ knowledge level will lead to effective and efficient learning. However, it has also been found that students are not good at making problem selection de

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Зінченко, Наталія Олегівна, Наталия Олеговна Зинченко, Nataliia Olehivna Zinchenko, Роман Ігорович Сілка, Роман Игоревич Силка та Roman Ihorovych Silka. "Подолання дефіциту інформації для навчання експертної системи підтримки прийняття проектних рішень". Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/10412.

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Lye, Sun Woh. "Computer aided design decision making." Thesis, University of Bath, 1986. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374606.

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Borer, Nicholas Keith. "Decision Making Strategies for Probabilistic Aerospace Systems Design." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10469.

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Modern aerospace systems design problems are often characterized by the necessity to identify and enable multiple tradeoffs. This can be accomplished by transformation of the design problem to a multiple objective optimization formulation. However, existing multiple criteria techniques can lead to unattractive solutions due to their basic assumptions; namely that of monotonically increasing utility and independent decision criteria. Further, it can be difficult to quantify the relative importance of each decision metric, and it is very difficult to view the pertinent tradeoffs for large-sca

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Books on the topic "Making design decisions"

1

Zita, Glasgow, and Seels Barbara, eds. Making instructional design decisions. 2nd ed. Merrill, 1998.

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P, Mourelatos Zissimos, and Pandey Vijitashwa, eds. Design decisions under uncertainty with limited information. CRC Press, 2010.

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Kirk, Stephen J. Creative design decisions: A systematic approach to problem solving in architecture. Van Nostrand Reinhold, 1988.

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MacGregor, Donald G. Factors influencing line officers' decisions about National Environmental Policy Act project design and development. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2008.

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MacGregor, Donald G. Factors influencing line officers' decisions about National Environmental Policy Act project design and development. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2008.

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MacGregor, Donald G. Factors influencing line officers' decisions about National Environmental Policy Act project design and development. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2008.

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MacGregor, Donald G. Factors influencing line officers' decisions about National Environmental Policy Act project design and development. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2008.

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8

M, Borror Connie, and Montgomery Douglas C, eds. Design and analysis of gauge R&R studies: Making decisions with confidence intervals in random and mixed ANOVA models. Society for Industrial Applied Mathematics, 2005.

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9

Zhukova, Galina. Mathematical methods for management decisions. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1084987.

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The purpose of this manual is to help students to master basic concepts and research methods used in the theory of optimal control. The foundations of mathematical modeling. Systematic mathematical methods for managerial decision-making in linear, nonlinear and dynamic problems of optimal socio-economic processes.  Each section contains numerous examples of the application of these methods to solve applied problems. Much attention is paid to comparison of the proposed methods, a proper choice of study design problems, case studies and analysis of complex situations that arise in the stud

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V, Venda Yuri, ed. Dynamics in ergonomics, psychology, and decisions: Introduction to ergodynamics. Ablex Pub. Corp., 1995.

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Book chapters on the topic "Making design decisions"

1

Wise, James A. "Decisions in Design." In Behavioral Decision Making. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2391-4_13.

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Korhonen, Pekka J., and Jyrki Wallenius. "Solving Design Problems." In Making Better Decisions. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49459-9_11.

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Bass, Len, Felix Bachmann, and Mark Klein. "Making Variability Decisions during Architecture Design." In Software Product-Family Engineering. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24667-1_35.

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Kaczmarek, Stefan, Brad Lees, and Gary Bennett. "Making Decisions, Program Flow, and App Design." In Swift 5 for Absolute Beginners. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4868-3_4.

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Bennett, Gary, and Brad Lees. "Making Decisions, Program Flow, and App Design." In Swift 3 for Absolute Beginners. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2331-4_4.

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Bennett, Gary, and Brad Lees. "Making Decisions, Program Flow, and App Design." In Swift for Absolute Beginners. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0886-1_4.

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Kaczmarek, Stefan, Brad Lees, and Gary Bennett. "Making Decisions, Program Flow, and App Design." In Swift 4 for Absolute Beginners. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3063-3_4.

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Bennett, Gary, and Brad Lees. "Making Decisions, Program Flow, and App Design." In Swift 2 for Absolute Beginners. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1488-6_4.

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Malavolta, Ivano, Henry Muccini, and Smrithi Rekha V. "Enhancing Architecture Design Decisions Evolution with Group Decision Making Principles." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12241-0_2.

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Ereshko, Felix, and Vladimir Budzko. "Coordination of Models for Describing and Making Agro-Technological Decisions." In Information Systems and Design. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95494-9_7.

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Conference papers on the topic "Making design decisions"

1

Herrmann, Jeffrey W. "Decision Making in Course Design." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59047.

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Decision making is an important feature of design. Although engineering design refers to the design of products and technical systems, design activities occur in many other professions, including education. As education moves from teaching to learning, engineering faculty are becoming course designers who make many decisions when designing a course. Although many course design processes have been described, previous work has not considered course design as an interrelated set of decisions. To plan a course, a designer must make decisions. The course designer must select following elements: the

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Shahbazian, Arman, Youn Kyu Lee, Yuriy Brun, and Nenad Medvidovic. "Making well-informed software design decisions." In ICSE '18: 40th International Conference on Software Engineering. ACM, 2018. http://dx.doi.org/10.1145/3183440.3194961.

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Tironi, Martin, and Matías Valderrama. "Regimes of Digital Quantification: making data-driven decisions?" In Design Research Society Conference 2018. Design Research Society, 2018. http://dx.doi.org/10.21606/drs.2018.570.

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Shergadwala, Murtuza N., and Jitesh H. Panchal. "Human Inductive Biases in Design Decision Making." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22252.

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Abstract Designers make information acquisition decisions, such as where to search and when to stop the search. Such decisions are typically made sequentially, such that at every search step designers gain information by learning about the design space. However, when designers begin acquiring information, their decisions are primarily based on their prior knowledge. Prior knowledge influences the initial set of assumptions that designers use to learn about the design space. These assumptions are collectively termed as inductive biases. Identifying such biases can help us better understand how

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Kulok, Michael, and Kemper Lewis. "Preference Consistency in Multiattribute Decision Making." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84764.

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A number of approaches for multiattribute selection decisions exist, each with certain advantages and disadvantages. One method that has recently been developed, called the Hypothetical Equivalents and Inequivalents Method (HEIM) supports a decision maker (DM) by implicitly determining the importances a DM places on attributes using a series of simple preference statements. In this and other multiattribute selection methods, establishing consistent preferences is critical in order for a DM to be confident in their decision and its validity. In this paper a general consistency check denoted as

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Arendt, Jonathan L., Daniel A. McAdams, and Richard J. Malak. "Technology Evolution Modeling and Decision Making Under Uncertainty." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70746.

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Design is an uncertain human activity involving decisions with uncertain outcomes. Sources of uncertainty in product design include uncertainty in modeling methods, market preferences, and performance levels of subsystem technologies, among many others. The performance of a technology evolves over time, typically exhibiting improving performance. As the performance of a technology in the future is uncertain, quantifying the evolution of these technologies poses a challenge in making long-term design decisions. Here, we focus on how to make decisions using formal models of technology evolution.

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Pandey, Vijitashwa, and Zissimos P. Mourelatos. "A New Method for Design Decisions Using Decision Topologies." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12360.

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This paper shows how reliability block diagrams can be used as a decision making tool. The premise behind the idea is that classical decision analysis while very powerful, does not provide tractability in assessing utility functions and their use in making decisions. Our recent work has shown that visual representation of systems using a reliability block diagram can be used to describe a decision situation. In decision making, we called these block diagrams decision topologies. We show that decision topologies can be used to make many engineering decisions and can replace decision analysis fo

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Yoshimura, Masataka, and Hideyuki Kondo. "Group Decision Making in Product Design and Manufacturing." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dac-3729.

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Abstract Reconciling the different desires and requirements of individuals within decision making groups is becoming increasingly important, as corporate structures tend to embody flat relationships more than hierarchical ones, and as computer networks gain ever more utility. In this paper, a computer aided decision making support system is proposed, that such groups of decision makers can rely on, in order to arrive at the best possible cooperative decisions. First, weighting coefficients for the factors to be evaluated are determined by pair comparisons based on the AHP (Analytic Hierarchy P

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Fukuda, Shuichi. "Navigating the Uncharted Waters: An Emotional Engineering Approach to Decision Making." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70830.

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Although there are many approaches to decision making, most of them are tools for the Closed World, and you can make decisions before you sail out. But the world we are living in now is an Open World, where there is no chart. We have to make decisions while we are navigating. Economists, Simon and Keynes, say that in a Closed World economic agents make decisions rationally, but in an Open World they rely on emotion. This paper describes that by introducing directed graph and declarative programming techniques, we can simulate emotion-driven decision making. This approach has several advantages

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Sissoko, Timothé M., Marija Jankovic, Christiaan J. J. Paredis, and Eric Landel. "An Empirical Study of a Decision-Making Process Supported by Simulation in the Automotive Industry." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86406.

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The design process can be considered as series of decisions supported by modeling and simulation (M&S). Current developments aim at supporting this decision making with regard to increasing resources committed in the M&S process. To understand possible decision support, we conducted an empirical study in a car manufacturing company to map out the decision-making process during the development phase. A qualitative data analysis was performed to understand the difficulties and the needs expressed by decision makers. Industrial preliminary observations have shown that decisions regarding

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Reports on the topic "Making design decisions"

1

Kazman, Rick, Jai Asundi, and Mark Klien. Making Architecture Design Decisions: An Economic Approach. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408740.

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Unal, Beyza, Julia Cournoyer, Calum Inverarity, and Yasmin Afina. Uncertainty and complexity in nuclear decision-making. Royal Institute of International Affairs, 2022. http://dx.doi.org/10.55317/9781784135157.

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Complex systems modelling is already implemented in critical policy areas such as climate change and health. It could also play an important role in the nuclear weapons sphere – by opening alternative pathways that may help mitigate risks of confrontation and escalation – but such modelling has yet to be fully embraced by policymakers in this community. By applying a complexity lens, policy- and decision-makers at all stages along the nuclear chain of command might better understand how their actions could have significant consequences for international security and peace. Nuclear decision-mak

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Vigneri, Marcella, and Howard White. When time is of the essence: Timely evaluations in international development evaluation. Centre for Excellence and Development Impact and Learning (CEDIL), 2022. http://dx.doi.org/10.51744/cmb8.

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Timely evaluations produce results when they are needed to inform decision making while using appropriate, rigorous designs. While traditionally evaluations are carried out at the end of a programme, this brief explores methods for evaluation during the course of a programme. Such approaches are important for informing decisions on project design for which information is needed in a timely manner. Timely evaluations can be used when trying out new intervention approaches, when working in a new context, or when the context is rapidly changing.

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Ruvinsky, Alicia, Timothy Garton, Daniel Chausse, Rajeev Agrawal, Harland Yu, and Ernest Miller. Accelerating the tactical decision process with High-Performance Computing (HPC) on the edge : motivation, framework, and use cases. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42169.

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Managing the ever-growing volume and velocity of data across the battlefield is a critical problem for warfighters. Solving this problem will require a fundamental change in how battlefield analyses are performed. A new approach to making decisions on the battlefield will eliminate data transport delays by moving the analytical capabilities closer to data sources. Decision cycles depend on the speed at which data can be captured and converted to actionable information for decision making. Real-time situational awareness is achieved by locating computational assets at the tactical edge. Acceler

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Klein, Gary. Naturalistic Decision Making: Implications for Design. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada492114.

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Engau, A., and M. M. Wiecek. 2D Decision-Making for Multi-Criteria Design Optimization. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462566.

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Borissova, Daniela, and Delyan Keremedchiev. Product Configuration Design via Group Decision Making and Combinatorial Optimization. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.09.13.

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Ott, Robert, and Wendy Cukier. Artisanal Fashion Design: Entrepreneurs on Thinking, Process, and Decision Making. Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-470.

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Dopfer, Jaqui. Öffentlichkeitsbeteiligung bei diskursiven Konfliktlösungsverfahren auf regionaler Ebene. Potentielle Ansätze zur Nutzung von Risikokommunikation im Rahmen von e-Government. Sonderforschungsgruppe Institutionenanalyse, 2003. http://dx.doi.org/10.46850/sofia.3933795605.

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Whereas at the end of the 20th century there were still high expectations associated with the use of new media in terms of a democratisation of social discourse and new potential for citizens to participate in political decision-making, disillusionment is now spreading. Even today, the internet is often seen only as a technical tool for the transmission of information and communication, which serves as a structural supplement to "real" discourse and decision-making processes. In fact, however, the use of new media can open up additional, previously non-existent possibilities for well-founded a

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Lv, Chen. Human-like Decision-making and Control for Automated Driving. SAE International, 2022. http://dx.doi.org/10.4271/epr2022005.

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The on-vehicle automation system is primarily designed to replace the human driver during driving to enhance the performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences, which prevents achieving optimized vehicle performance and maximized road safety. Human-like Decision-making and Control for Automated Driving will take one step forward to address unsettled technologies in human-like automated driving to break through the limitation for future ve

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