Abstract
Interactive dashboards are decision support tools that enable users to explore the relationships between their decisions and the consequences of those decisions. These dashboards in previous research have been proven to be most effective when customized to the specific context of the decision scenario. The objective of this project is to design an interactive dashboard using best practices in optimization and strategic decision-making, for the application of an artillery system derived from publicly available sources. Using Python’s dash library, the resulting dashboard enables users to explore design decisions, model mission success likelihood, optimize the design, explore Pareto-optimal trade-offs, trace performance improvement goals back to design parameters, and compare designs with existing systems. The dashboard is described in detail, and several use cases are put forward to illustrate the functionality and implementation scenarios for such an interactive dashboard for complex decision analysis.
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McDonough, S., Litvin, A., Steinwurtzel, B., Feliciano, R., Hoffenson, S., Blackburn, M. (2024). An Interactive Dashboard to Support Design of an Artillery System. In: Verma, D., Madni, A.M., Hoffenson, S., Xiao, L. (eds) The Proceedings of the 2023 Conference on Systems Engineering Research. CSER 2023. Conference on Systems Engineering Research Series. Springer, Cham. https://doi.org/10.1007/978-3-031-49179-5_29
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DOI: https://doi.org/10.1007/978-3-031-49179-5_29
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