Abstract
Working in the framework of the circulating and spiral-up systems approach, we attempt to embed modelling procedures, used to construct approximate models of input–output relationships at the induction stage, into optimization problems formulated at the abduction stage. In particular, for cases in which uncertainty is present in real systems, we show that, by considering worst-case scenarios from a risk-management perspective, we can formulate optimization problems with embedded modelling procedures that might be termed robust modelling. As a solution strategy for these problems, we consider a constraint-relaxation method—the scenario approach—and discuss how this strategy fits into the framework of the circulating and spiral-up systems approach.
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Aiyoshi, E., Yasuda, K., Tamura, K. (2023). Modelling-Driven Optimization Problems with Uncertainty Tolerance and Their Solution Strategies: A Risk-Management Perspective in the Circulating and Spiral-up Systems Approach. In: Kaihara, T., Kita, H., Takahashi, S., Funabashi, M. (eds) Innovative Systems Approach for Facilitating Smarter World. Design Science and Innovation. Springer, Singapore. https://doi.org/10.1007/978-981-19-7776-3_2
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DOI: https://doi.org/10.1007/978-981-19-7776-3_2
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