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General Information
Editor-in-Chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of Editor-in-Chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2026 Vol.16(1): 23-29
DOI: 10.7763/IJMO.2026.V16.879

Markers for Measuring the Sustainability of a Manufacturing Process

Cristian Ionel Păunescu1,*, Mihai Hagiescu1, and Alexandru Ștefan Velicu2
1. Industrial Engineering and Robotics Doctoral School, National University of Science and Technology Politehnica, Bucharest, Romania
2. Developer, DP Project SRL, Bucharest, Romania
Email: paunescu.cristian1996@gmail.com (C.I.P.); mhagiescu@gmail.com (M.H.); avelicu@datarecast.com (A.S.V.)
*Corresponding author

Manuscript received March 22, 2026; revised April 25, 2026; published May 27, 2026.

Abstract—This research paper presents a methodology that helps to increase the profitability of a classic manufacturing process through the energy indicator and the integration indicator. This solution was applied in a manufacturing company that uses distributed photovoltaic energy generation. The company produces its own products and injects energy into the grid. The prices obtained through each solution, the unit price of the manufactured product and the energy consumption per unit of product are taken into account. The results indicate that this methodology constitutes an optimal solution for the use of electricity obtained from photovoltaic systems. The profit achieved by the company is maximized. The methodology can be used by manufacturing companies by integrating components necessary for the work process into manufacturing.

Keywords—measurement indicators/markers, product cost, non-renewable resources, objectives, sustainability strategy

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Cite: Cristian Ionel Păunescu, Mihai Hagiescu, and Alexandru Ștefan Velicu, "Markers for Measuring the Sustainability of a Manufacturing," International Journal of Modeling and Optimization, vol. 16, no. 1, pp. 23-29, 2026.

Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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