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General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency:  semiannually
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms. Cecilia Xie
    • Abstracting/ Indexing: CNKI, EBSCO, ProQuest,Google Scholar, etc.
    • E-mail: editor@ijmo.org
    • APC: 500USD
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(2): 46-51
DOI: 10.7763/IJMO.2026.V16.882

Multidimensional Vision of Sustainability in 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. 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 June 24, 2026; published September 24, 2026.

Abstract—Sustainable manufacturing systems utilize energy-efficient and eco-friendly workflows, methodologies, and technologies. In this context, well-defined measurement methodologies and the mathematical modeling of production data play a crucial role. They are essential for consistently calculating and evaluating the indicators that characterize the sustainability of manufacturing processes. To achieve a green manufacturing process for reinforced concrete pipes, this study proposes a sustainability assessment method based on energy. This approach analyzes and evaluates resource utilization and environmental pollution within the production process. The study presents a method that utilizes indicators to assess manufacturing process sustainability from both economic and environmental perspectives. The research model uses current production data to integrate sustainability-related aspects. Requirements for information models supporting a sustainable manufacturing process were identified with the help of an energy-based reference architecture model. By means of specific indicators, this model maps out reliable pathways toward sustainable manufacturing processes. The results obtained demonstrate that this method can effectively quantify and identify the sustainability level of the manufacturing process.

Keywords—technological sustainability, technological solutions, competitiveness binder, factors, green technology, multidimensional vision

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Cite: Cristian Ionel Păunescu, Mihai Hagiescu, and Alexandru Ștefan Velicu, "Multidimensional Vision of Sustainability in a Manufacturing Process," International Journal of Modeling and Optimization, vol. 16, no. 2, pp. 46-51, 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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