Abstract
The existence of electronic design automation (EDA) companies strongly depends on the impact of technological development factors. Destructive technological developments (innovations) often lead to mergers and acquisitions (M&A), the emergence of new start-ups, and the disappearance of those who are unable to generate innovation and follow the technology improvement within a tolerable delay. This paper presents two mathematical models. The first one is aimed to optimize the investments of EDA companies maximizing their profit, and the second one − is to minimize the reaction delay of the companies to an innovation event. Both models are formulated to improve (extend) the EDA companies’ viability in order to avoid the monopoly state over the market. Based on public data, a simulation task was formulated for 20 EDA companies. The optimization was performed by means of MATLAB solvers. The obtained results show that the proposed models can be useful, and the approach presented could be applied to tasks with real data.
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Acknowledgment
This work is supported by the Bulgarian National Science Fund by the project “Mathematical models, methods and algorithms for solving hard optimization problems to achieve high security in communications and better economic sustainability”, Grant No: KP-06-N52/7.
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Marinova, G., Bitri, A., Guliashki, V. (2023). Data Analytics, Viability Modeling and Investment Plan Optimization of EDA Companies in Case of Disruptive Technological Event. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-031-18461-1_44
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