Abstract
The Department of Defense science and technology communities seek to improve decision-making capability in analysis of alternatives through implementing model-based engineering early in the design process. Point-based design has been the traditional design method and often converges quickly on a solution that may later require unexpected engineering changes which may impact cost. Set-based design (SBD) considers sets of all possible solutions early in the design phase, and enables down-selecting possibilities to converge to a final solution. When physics-based design, cost, and value models are well integrated, design options can be simultaneously analyzed generating numerous alternatives allowing exploration of a larger tradespace. Using an Army ground vehicle as a platform of study, this research applied the principles of set-based design through integration of an engineering model with a cost model. Stakeholder requirements were integrated to incorporate value into the design tradespace. The process of integrating SBD into the cost, engineering, and value models generated analytical insights of the design alternatives within the tradespace that provides guidance for future integration efforts. By exploring the SBD tradespace, analysts can potentially explore more high-value design solutions along the efficient frontier.
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References
Berstein JI (1998) Design methods in the aerospace industry: looking for evidence of set-based practices. Master of Science Thesis, Massachusetts Institute of Technology
Blakeman S, Gibbs A, Jeynathan J (2008) Study of the mine resistant ambush protected (MRAP) vehicle program as a model for rapid defense acquisitions (MBA Professional Report). Naval Post Graduate School, Monterey
Canaley WP (2013) Joint light tactical vehicle: a case study. U.S. Army War College, Carlisle
Castanier M, Pokoyoway A, Bronstetter G (2016) Using ERS tools for trade space exploration of military ground vehicles. NDIA Systems Engineering Conference. Springfield, VA. October 27
Cherwonik J (2017) Engineered resilient systems (ERS) lifecycle cost analysis for trade-space generation. Internal ERDC, Vicksburg
Department of Defense (DoD) (2015) Department of Defense Instruction 5000.02
Feickert A (2017) Infantry Brigade Combat Team (IBCT) mobility, reconnaissance, and firepower programs. Congressional Research Service, Washington, DC
Government Accounting Office (2009) GAO cost estimating and assessment guide: best practices for developing and managing capital program costs. United States Government Accountability Office. Applied Research and Methods, Washington, DC
GovEvents (2017) Design sciences series: set-based design. https://www.govevents.com/details/24509/design-sciences-series-set-based-design/. Accessed 7 Nov 2017
Iansiti M (1995) Shooting the rapids: managing product development in turbulent environments. Calif Manag Rev 38:37–58
Kalyanaram G, Krishnan V (1997) Deliberate product definition: customizing the product definition process. J Mark Res 34(2):276–285
NASA (2015) NASA cost estimating handbook. NASA, Washington, DC
Parnell GS (2016) Trade-off analytics: creating and exploring the system tradespace. Wiley, Hoboken, p 367
Ramsey J (2017) Survey of Existing uncertainty quantification capabilities for army relevant problems; ARL-TR-8218, US Army Research Laboratory Aberdeen Proving Ground United States; November 2017
Richards J, Kelley D, Hardin D, Church H (2017) Generating the cost domain of the tradespace for lifecycle cost analysis. Internal ERDC, Vicksburg
Rinaudo CH, Buchanan RK, Barnett SK (2016) Applying the robustness (broad utility) workflow to assess resiliency for engineered resilient systems. In: Conference on systems engineering research.
Royset J (2018) Approximations and solution estimates in optimization. Math Progr 170(2):479–506
Royset J, Bonfiglio L, Vernengo L, Brizzolara S (2017) Risk-adaptive set-based design and applications to shaping a hydrofoil. ASME J Mech Des 139(10):1014031–1014038
Singer DJ, Doerry N, Buckley ME (2009) What is set-based design? Naval Eng J 121:31–43
Sobek DK, Ward AC. Liker JK (1999) Toyota’s principles of set-based concurrent engineering. Sloan Manag Rev 40(2):67–83
Spero E, Avera M, Valdez P, Goerger S (2014) Tradespace exploration for the engineering of resilient systems. In: 2014 Systems engineering research procedia computer science, vol 28, pp 591–600
U.S. Office of Management and Budget (2008) Circular No. A–11, preparation, submission, and execution of the budget. Executive Office of the President, Washington DC
Acknowledgements
The authors would like to acknowledge the Department of Defense Engineered Resilient Systems program for its support of this research. Additionally, this paper is based on collaborative research with the U.S. Army Tank-automotive & Armaments Command (TACOM) Cost and Systems Analysis Division, Technomics Inc., and the U.S. Army Tank Automotive Research, Development and Engineering Center (TARDEC), Analytics—Computational Methods & System Behavior (CMSB) Team.
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Buchanan, R.K., Richards, J.E., Rinaudo, C.H. et al. Integrating set-based design into cost analysis. Environ Syst Decis 39, 111–117 (2019). https://doi.org/10.1007/s10669-019-09729-z
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DOI: https://doi.org/10.1007/s10669-019-09729-z