Academic literature on the topic 'Tradespace Exploration'
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Journal articles on the topic "Tradespace Exploration"
Ross, Adam M., and Daniel E. Hastings. "11.4.3 The Tradespace Exploration Paradigm." INCOSE International Symposium 15, no. 1 (July 2005): 1706–18. http://dx.doi.org/10.1002/j.2334-5837.2005.tb00783.x.
Full textRoss, Adam M., David B. Stein, and Daniel E. Hastings. "Multi-Attribute Tradespace Exploration for Survivability." Journal of Spacecraft and Rockets 51, no. 5 (September 2014): 1735–52. http://dx.doi.org/10.2514/1.a32789.
Full textSmirnov, Dmitry, and Alessandro Golkar. "Stirling Engine Systems Tradespace Exploration Framework." Procedia Computer Science 44 (2015): 558–67. http://dx.doi.org/10.1016/j.procs.2015.03.010.
Full textBaylot, E. Alex, Drew Kelley, James Richards, and Deanna Hardin. "Introducing Cost Models to Conceptual Tradespace Exploration." INCOSE International Symposium 28, no. 1 (July 2018): 16–29. http://dx.doi.org/10.1002/j.2334-5837.2018.00464.x.
Full textFitzgerald, Matthew E., and Adam M. Ross. "Recommendations for Framing Multi-Stakeholder Tradespace Exploration." INCOSE International Symposium 26, no. 1 (July 2016): 2376–90. http://dx.doi.org/10.1002/j.2334-5837.2016.00301.x.
Full textDavison, Peter, Bruce G. Cameron, and Edward F. Crawley. "Tradespace exploration of in-space communications network architectures." Technology Analysis & Strategic Management 29, no. 6 (August 29, 2016): 583–99. http://dx.doi.org/10.1080/09537325.2016.1217322.
Full textSpero, Eric, Michael P. Avera, Pierre E. Valdez, and Simon R. Goerger. "Tradespace Exploration for the Engineering of Resilient Systems." Procedia Computer Science 28 (2014): 591–600. http://dx.doi.org/10.1016/j.procs.2014.03.072.
Full textSpecking, Eric, Gregory Parnell, Edward Pohl, and Randy Buchanan. "Evaluating a Set-Based Design Tradespace Exploration Process." Procedia Computer Science 153 (2019): 185–92. http://dx.doi.org/10.1016/j.procs.2019.05.069.
Full textBhattacharya, Saikath, Vidhyashree Nagaraju, Eric Spero, Anindya Ghoshal, and Lance Fiondella. "Incorporating quantitative reliability engineering measures into tradespace exploration." Research in Engineering Design 29, no. 4 (July 13, 2018): 589–603. http://dx.doi.org/10.1007/s00163-018-0293-8.
Full textSpecking, Eric, Gregory Parnell, Edward Pohl, and Randy Buchanan. "Early Design Space Exploration with Model-Based System Engineering and Set-Based Design." Systems 6, no. 4 (December 17, 2018): 45. http://dx.doi.org/10.3390/systems6040045.
Full textDissertations / Theses on the topic "Tradespace Exploration"
Richards, Matthew G. "Multi-attribute tradespace exploration for survivability." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53217.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 235-249).
Survivability is the ability of a system to minimize the impact of a finite-duration disturbance on value delivery (i.e., stakeholder benefit at cost), achieved through (1) the reduction of the likelihood or magnitude of a disturbance, (2) the satisfaction of a minimally acceptable level of value delivery during and after a disturbance, and/or (3) a timely recovery. Traditionally specified as a requirement in military systems, survivability is an increasingly important consideration for all engineering systems given the proliferation of natural and artificial threats. Although survivability is an emergent system property that arises from interactions between a system and its environment, conventional approaches to survivability engineering are reductionist in nature. Furthermore, current methods neither accommodate dynamic threat environments nor facilitate stakeholder communication for conducting trade-offs among system lifecycle cost, mission utility, and operational survivability. Multi-Attribute Tradespace Exploration (MATE) for Survivability is introduced as a system analysis methodology to improve the generation and evaluation of survivable alternatives during conceptual design. MATE for Survivability applies decision theory to the parametric modeling of thousands of design alternatives across representative distributions of disturbance environments. To improve the generation of survivable alternatives, seventeen empirically-validated survivability design principles are introduced. The general set of design principles allows the consideration of structural and behavioral strategies for mitigating the impact of disturbances over the lifecycle of a given encounter.
(cont.) To improve the evaluation of survivability, value-based metrics are introduced for the assessment of survivability as a dynamic, continuous, and path-dependent system property. Two of these metrics, time-weighted average utility loss and threshold availability, are used to evaluate survivability based on the relationship between stochastic utility trajectories of system state and stakeholder expectations across nominal and perturbed environments. Finally, the survivability "tear(drop)" tradespace is introduced to enable the identification of inherently survivable architectures that efficiently balance performance metrics of cost, utility, and survivability. The internal validity and prescriptive value of the design principles, metrics, and tradespaces comprising MATE for Survivability are established through applications to the designs of an orbital transfer vehicle and a satellite radar system.
by Matthew G. Richards.
Ph.D.
Cunio, Phillip M. "Tradespace model for planetary surface exploration hopping vehicles." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76088.
Full textCD-ROM contains files in .m and .xls formats.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 243-257).
Robotic planetary surface exploration, which has greatly benefited humankind's scientific knowledge of the solar system, has to date been conducted by sedentary landers or by slow, terrain-limited rovers. However, there are other types of vehicles which can conduct planetary surface exploration. One of these is hopping vehicles, which do not require fluid contact or ground contact in order to move, but instead propulsively balance thrust from their engines against gravity to propel themselves over the surface. Hopping vehicles are still a nascent technology, however, and no spaceborne hopping vehicles have yet flown. In order to bring hopping vehicles into the decision space for planetary surface exploration missions, in this thesis we provide a framework to understand hopping vehicles' key characteristics and advantages, as well as a tradespace model to size hopping vehicles based on mission characteristics. The tradespace model takes user-input mission requirements, including target planetary body, scientific payload, and a detailed flight profile, and produces a subsystem-level model of a hopping vehicle which can complete the mission. Information on the operational profile and lifecycle costs of the hopping vehicle is also produced. The tradespace model also permits users to capture results from one model run and compare them to other model runs, or to results produced by other models. In this thesis, the tradespace model is described, and initial tradespace investigation is performed using the model. Finally, lessons learned are summarized and suggestions are offered for future research. The thesis closes with a summation of the potential offered by hopping vehicles for planetary surface exploration missions in the decades to come.
by Phillip M. Cunio.
Ph.D.
Chattopadhyay, Debarati. "A method for tradespace exploration of systems of systems." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/50607.
Full textIncludes bibliographical references (p. 211-215).
Systems of Systems (SoS) are a current focus of many organizations interested in integrating assets and utilizing new technology to create multi-component systems that deliver value over time. The dynamic composition of SoS along with the managerial independence of their component systems necessitates systems engineering considerations and methods beyond those of traditional systems engineering, particularly for SoS concept design. Qualitative and heuristic-based guidance is available in the literature, but there is a need for a method that will allow decision makers to quantitatively compare diverse multi-concept SoS designs on an equal basis in order to select value robust designs during concept exploration. Development of a quantitative method for SoS conceptual design will enable the consideration of many more architecture options than is possible through qualitative methods alone, facilitating a more complete exploration of a SoS design space. In this thesis, a quantitative method for SoS conceptual design, known as System of Systems Tradespace Exploration Method (SoSTEM), is presented. This method is based on the existing Dynamic Multi-Attribute Tradespace Exploration (MATE) which is a formal methodology for tradespace exploration during system design that allows the decision maker to make trades between both stakeholder preferences and systems early in the design process and includes the consideration of dynamic issues such as unarticulated stakeholder preferences and changing system context.
(cont.) In SoSTEM, SoS-level performance attributes are generated through a combination of component system attributes and system latent value, allowing the generation of SoS tradespaces where multi-concept architectures can be compared on the same performance and cost basis. This method allows the SoS designer to distinguish between component systems having high likelihood of participation in the SoS and those with lower likelihood of participation, based on the level of 'Effective Managerial Authority' that the SoS designer has over the component. SoSTEM is demonstrated through application to two case studies, an Operationally Responsive System for Disaster Surveillance and Satellite Radar.
by Debarati Chattopadhyay.
S.M.
Ross, Adam Michael 1977. "Managing unarticulated value : changeability in multi-attribute tradespace exploration." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35089.
Full textIncludes bibliographical references (p. 305-310).
A framework for creating value robust systems in the face of changing value perceptions during the architecture and design of systems is proposed. Both unarticulated value, that which is not explicitly communicated to system designers, and dynamic value, that which changes over time, are used to motivate the dynamic Multi-Attribute Tradespace Exploration (MATE) process. Value can be represented as decision maker perceived attributes, which can be classified according to the ease by which the system can display them. The attribute class spectrum from least to most costly ranges from articulated, class 0 attributes, to inaccessible value, class 4 attributes. Supporting the value-adding approach, the system property concepts of flexibility, adaptability, rigidity, robustness, scalability, and modifiability are proposed to be different aspects of the same concept: changeability. A quantification of changeability is shown to be the Filtered Outdegree of a design within a networked tradespace formed through explicit consideration of transition paths between design instantiations. A focus on designing not only for value, but for changeability as well, leads to the concept of path enabling variables, whose purpose is to increase change paths or decrease cost for change.
(cont.) Value robustness is shown to be achieved through either passive or active means. Passive value robustness can be quantified as the Pareto Trace number of a design, reflecting the number of contexts within which a particular design is determined to be best value at a given level of resource expenditure. Active value robustness is achieved through a strategy of pursuing designs with increased changeability and accessibility to likely high value regions of a tradespace. Supporting the process, the Design-Value Matrix and the Rule-Effects Matrix help system designers visualize the key factors for creating dynamic value-generating systems by capturing the important relationships between decision makers, design variables, attributes, path enablers, and resources. The dynamic MATE process is applied to two real system cases including the Joint Direct Attack Munition (JDAM) and the Terrestrial Planet Finder (TPF). The framework is shown to be applicable at both quantitative and qualitative levels, giving insight into assessing and designing for changeability and value robustness for systems.
by Adam Michael Ross.
Ph.D.
Davison, Peter Leslie. "Tradespace exploration for space system architectures : a weighted graph framework." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90773.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 167-172).
Many systems undergo significant architecture-level change during their lifecycles as a result of exogenous system disturbances (e.g. budget reduction or changes in stakeholder requirements), failure to develop critical technologies, or planned evolution of the system over time. Given the high cost in terms of resources, schedule, and performance of making these changes during system development or operations, it is essential to make these decisions with a thorough understanding of the available options and costs associated with different architecture changes. The analysis of such decisions stems from an understanding of the relationships between architectures in the tradespace, however most architecture tradespace generation tools focus on the modeling and evaluation of individual architectures rather than on modeling how different architectures are related to one another. In this thesis we propose a framework for modeling these relationships based on the evaluation of a pre-existing tradespace for the purpose of analyzing architecture change decisions. This modeling framework is used to discover and evaluate evolutionary pathways through a disorganized tradespace: a process we call tradespace exploration. These pathways can be used to assess architecture selection decisions and to quantitatively compare architecture change decisions against one another, providing a decision analysis tool for system architects. At the core of the framework is the generation of a directed, weighted 'tradespace graph' that serves as a model of the architecture decision making process. Vertices in the tradespace graph are defined by pairings of architectures from the tradespace with asset portfolios, which are the sets of the common elements shared between multiple architectures. The existence of an edge in the graph, which represents a feasible decision to transform from one architecture to another, is determined by the relationship between the asset portfolios of the two vertices. The weight of an edge represents the cost of the corresponding architecture change, with the sum of edge weights along a path through the tradespace representing the total development cost of the architecture evolution. We apply this tradespace exploration framework to two pre-existing architecture tradespaces: the first being the 'HEXANE' tradespace of in-space transportation infrastructures for human exploration beyond low Earth orbit, and the second being the 'SCaN' tradespace of space-based communications network architectures for the relay of data between ground stations and user spacecraft. Using a variety of domain-independent analysis tools and graph search algorithms, we generate several results of potential value to system architects for both applications.
by Peter Leslie Davison.
S.M.
Derleth, Jason Edward 1970. "Multi-attribute tradespace exploration and its application to evolutionary acquisition." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/82702.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 144).
by Jason Edward Derleth.
S.M.
Ong, Ke Wei Joel. "Applying tradespace exploration methods for the design of value-robust microgrids." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/110141.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 90-94).
Microgrids enhance resilience in power distribution by providing the capability to be islanded from the utility grid and sustain electricity delivery using distributed energy resources. Microgrids are also able to accommodate a higher mix of renewable energy sources that bring about reduced carbon emissions. However, the increasing complexities that come with decentralizing power generation and the integration of cyber elements pose new challenges in making design decisions. In this thesis, two tradespace based methods are proposed for choosing value-robust microgrid designs during the conceptual design stage. A value-robust design is one that is able to sustain delivery of perceived value to stakeholders, even when subjected to changes in contexts and needs. Multi-Attribute Tradespace Exploration (MATE) enables decision makers to evaluate a large number of design alternatives against utility and expense metrics that capture the stakeholder-perceived value. A full tradespace exploration avoids premature fixation on local point solutions and provides a more in-depth appreciation of the design space. Epoch-Era Analysis (EEA) provides a dynamic perspective of the system to enable the evaluation of value robustness across time periods with changing contexts and value expectations. The value robustness of a design can be quantified by analyzing tradespaces across different value-centric time periods or epochs. Designs that are found to exhibit high value robustness can be identified as candidates for detailed design. A constructed case study of a military microgrid is presented to demonstrate the use of MATE and EEA to find highly value-robust designs. While traditional design approaches tend to limit decision-making to a choice among given alternatives, MATE and EEA focus on the fundamental values of decision makers, allowing them to generate alternatives and discover high value designs.
by Ke Wei Joel Ong.
S.M. in Engineering and Management
Fitzgerald, Matthew Edward. "Framing tradespace exploration to improve support for multiple-stakeholder decision making." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105555.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis. Vita.
Includes bibliographical references (pages 326-339).
As modern engineering projects increase in size and complexity, they have also tended to increase the number of people affected, thus expanding the set of involved stakeholders. The majority of research in tradespace exploration (TSE), as a paradigm for solving complex design problems, has focused on the analysis of the space of alternatives with the goal of uncovering design choices that are optimal or near-optimal. These designs feature desirable combinations of attributes for a given system stakeholder, including technical attributes, cost, and, more recently, -ilities. Less tradespace research has been devoted to the multi-stakeholder problem, in which there are multiple parties with different desired attributes, who must agree on a single design selection in order to proceed with development. Many standard value-measuring techniques, such as utility theory, operate on individuals only and have been shown to break down when used to combine the preferences of groups. Because of these limitations, multi-stakeholder tradespace exploration (MSTSE) has largely relied on the best practices for individual tradespace exploration, with all stakeholders using those methods in parallel. This parallel exploration has the goal of uncovering as many interesting or desirable alternatives as possible, empowering stakeholders to make an educated decision on how best to negotiate with their counterparts. The group decision problem, however, is not just a series of individual decisions and must incorporate interpersonal dynamics and psychological considerations of what makes a "good" decision, and what constitutes a "fair" solution in the minds of the participants. This thesis describes a research effort to develop the foundations of MSTSE by incorporating fundamental insights from the negotiation and framing literatures. A literature review is used to show that TSE is naturally aligned with the goals of productive negotiation. The framing of data in MSTSE is confirmed, via controlled experiment, to have impacts on negotiation which can be controlled through the visualizations given to the participating stakeholders. A combination of practitioner interviews, analysis of procedures for modern systems engineering methods, and case studies (on aerospace and transportation infrastructure systems) is used to create recommendations for applying MSTSE and demonstrate the new types of insights that can be achieved by doing so, beyond those of prior analyses.
by Matthew Edward Fitzgerald.
Ph. D.
Prindle, Aaron L. "Tradespace exploration in the Cloud : incorporating cloud technologies into IVTea Suite." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100686.
Full textCataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 109-112).
IVTea Suite is a tradespace exploration and analysis tool designed to allow users to gain insights into potential designs for large scale systems, and enables the analysis of tradeoffs, both static and dynamic, inherent in the selection of particular designs from amongst many possibilities. IVTea Suite's current architecture limits its ability to operate on large datasets, as well as prevents it from calculating important computationally complex lifecycle metrics needed to select value sustaining designs. This thesis analyses the current state of cloud technologies and provides solutions on how IVTea Suite can overcome its current architectural limitations. As a demonstration of potential new capabilities, the multi-era affordability with change paths problem, previously not solvable, is addressed using Markov decision processes and cloud technology. Additionally, this work describes a cloud framework that can be used in the future, which provides the potential ability to solve the multi-arc change paths problem for datasets previously too large to evaluate.
by Aaron L. Prindle.
M. Eng.
La, Tour Paul A. (Paul Alexis). "Combining tradespace exploration with system dynamics to explore future space architectures." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106593.
Full textSome pages printed landscape orientation. Cataloged from PDF version of thesis.
Includes bibliographical references (pages 342-351).
This work proposes a merger of Tradespace Exploration with System Dynamics modeling techniques in a complementary approach. It tests the value of this mixed method for modeling the multiplicity of inputs and complexity of feedback loops that affect the cost, schedule and performance of satellite constellations within the Department of Defense. The resulting simulation enables direct comparison of the effect of changing architectural design points and policy choices with respect to satellite acquisitions and fielding. A generation-over-generation examination of policy choices is made possible through the application of soft systems modeling of experience and learning effects. The resulting model enables examination of possible futures given variations in assumptions about both internal and external forces on a satellite production pipeline. This thesis performs a policy analysis examining the current path of the Global Positioning System acquisition and compares it to equivalent position navigation and timing capability delivered through a variety of disaggregated options while varying: design lives, production quantities, non-recurring engineering and time between generations. The extensibility of this technique is investigated by adapting the model to the mission area of Weather and Climate Sensing. This thesis then performs a policy analysis examining different disaggregated approaches for the Joint Polar Satellite, focusing on the impact of complexity. Discussion of factors such as design choices, context variables, tuning variables, model execution and construction is also included.
by Paul A. La Tour.
Ph. D. in Engineering Systems
Book chapters on the topic "Tradespace Exploration"
Collopy, Paul D. "Tradespace Exploration: Promise and Limits." In Disciplinary Convergence in Systems Engineering Research, 297–307. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62217-0_21.
Full textRoss, Adam M., Matthew E. Fitzgerald, and Randy K. Buchanan. "Foundational and Precautionary Considerations for Value-Driven Tradespace Exploration and Analysis." In Systems Engineering in Context, 97–109. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00114-8_9.
Full textTan, Puay Siang, and Bryan R. Moser. "Detection of Teamwork Behavior as Meaningful Exploration of Tradespace During Project Design." In Advances in Intelligent Systems and Computing, 73–87. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02886-2_7.
Full textConference papers on the topic "Tradespace Exploration"
Turner, Cameron J., Nafiseh Masoudi, Hannah Stewart, Julia Daniels, David Gorsich, Denise Rizzo, Greg Hartman, et al. "A Synthetic Tradespace Model for Tradespace Analysis and Exploration." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-91080.
Full textNigg, Daniel, O'brian Rossi, Russell Abbott, and John Evans. "FireSat Revisted: Investigations in Tradespace Exploration." In AIAA SPACE 2011 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-7272.
Full textRoss, Adam, Hugh McManus, Donna Rhodes, and Daniel Hastings. "Revisiting the Tradespace Exploration Paradigm: Structuring the Exploration Process." In AIAA SPACE 2010 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-8690.
Full textChhabra, Jaskanwal P. S., and Gordon P. Warn. "Sequential Decision Process for Tradespace Exploration by Bounding Probabilistic Decision Criteria Using Mean-Risk Analysis." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68112.
Full textRoberts, Christopher J., Matthew G. Richards, Adam M. Ross, Donna H. Rhodes, and Daniel E. Hastings. "Scenario planning in dynamic multi-attribute tradespace exploration." In 2009 3rd Annual IEEE Systems Conference. IEEE, 2009. http://dx.doi.org/10.1109/systems.2009.4815828.
Full textAguilar, Alexa, Patrick Butler, Jennifer Collins, Markus Guerster, Bjarni Kristinsson, Patrick McKeen, Kerri Cahoy, and Edward F. Crawley. "Tradespace Exploration of the Next Generation Communication Satellites." In AIAA Scitech 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-0768.
Full textRoss, Adam, Hugh McManus, Donna Rhodes, and Daniel Hastings. "Role for Interactive Tradespace Exploration in Multi- Stakeholder Negotiations." In AIAA SPACE 2010 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-8664.
Full textNigg, Daniel, and John Evans. "Developing Rapid Tradespace Exploration Trends Through Multidisciplinary Design Optimization." In AIAA SPACE 2012 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-5109.
Full textGirerd, A. R. "A rapid, flexible approach to tradespace definition and exploration." In 2005 IEEE Aerospace Conference. IEEE, 2005. http://dx.doi.org/10.1109/aero.2005.1559725.
Full textMekdeci, Brian, Adam M. Ross, Donna H. Rhodes, and Daniel Hastings. "System architecture pliability and trading operations in tradespace exploration." In 2011 IEEE International Systems Conference (SysCon). IEEE, 2011. http://dx.doi.org/10.1109/syscon.2011.5929073.
Full text