NONE 20260617122836344 wseas/wseas content-registration-form@crossref.org content-registration-form Financial Engineering 2945-1140 Daschievici Luiza Faculty of Engineering and Agronomy, Braila “Dunarea de Jos” University of Galati 47, Domneasca St., Galati ROMANIA Ghelase Daniela Faculty of Engineering and Agronomy, Braila “Dunarea de Jos” University of Galati 47, Domneasca St., Galati ROMANIA To survive in the current complex and unpredictable environment, the enterprise must have the capacity to react quickly in order to re-position itself in a favorable market position. Acquiring and maintaining this capacity is an effort for enterprises, as endogenous and exogenous factors are involved and the process is dynamic, continuous and difficult to predict. According to the specialized literature, a enterprise is competitive on a certain market when it manages to obtain certain economic indicators at an acceptable level: turnover, profit, market segment comparable or superior to that of other competing companies operating on the same market. In the paper, competitiveness will be understood as the capacity of the enterprise to function efficiently in a specific macroeconomic context and at a given time. Moreover, through a competitiveness metric (considered as an essential indicator of performance), the extent to which the enterprise achieves its purpose for which it was created will be assessed. Therefore, the paper aims to make a numerical assessment of technical-economic competitiveness and to manage the manufacturing system to achieve maximum competitiveness. 06 17 2026 06 17 2026 100 8 https://creativecommons.org/licenses/by/4.0/deed.en_US 10.37394/232032.2026.4.8 https://wseas.com/journals/fe/2026/a16fe-008(2026).pdf S.Yekimov, M. Vondráček, T Egorushkina, and M. Podburtnyy, Analysis of the competitiveness of the enterprise based on the theory of utility, E3S Web of Conferences 431, 07001, ITSE-2023. L. Daschievici, D. Ghelase, Order earning power assessment of make-to-order manufacturing system, ModTech International Conference–New face of TMCR, 2012. L. Daschievici, D. Ghelase – Holonic Approach to manufacturing systems – The Annals of Dunarea de Jos University of Galati, XIV, vol. II, pg. 17 – 20, 2016. Epureanu, A.; Marin, F.B. & Marinescu, V., Reconfigurable machine tool programmingA new approach, WSEAS Transaction on System and Control, vol. 3, pp. 463-472, 2008. H’nida, F.; Martin, P. & Vernadat, F., Cost estimation in mechanical production: The Cost Entity approach applied to integrated product engineering, International Journal of Production Economics, pp. 17-35, 2006. Marinescu, V.; Constantin, A. & Epureanu, A., Online adaptive learning system for reconfigurable machine tool, WSEAS Transaction on System and Control, vol. 3, pp. 473-482, 2008. Özbayrak, M.. Activity –Based Cost Estimation in a Push/Pull Advanced Manufacturing System, International Journal of Production Economics 87, pp. 49-65, 2006. Paladini, E.P., A pattern recognition and adaptive approach to quality control, WSEAS Transaction on System and Control, vol. 3, pp. 627-643, 2008. Rooney, A. Handbook on the knowledge economy, Cheltenham Edward Elgar, ISBN 1843767953, 2005. Simao, L.M.; Stadzisz, P.C. & Morel, G., Manufacturing execution systems for customized production, Journals of Materials Processing Technology, Elsevier Science B.V., pp. 268-275, 2006. Thamarajah, A., A self-organizing view of manufacturing enterprises, Computers in Industry, Elsevier Science B.V., pp. 185-196, 2003.