Sustainability-Aware Maintenance for Machine Tools: A Quantitative Framework Linking Degradation Management with Life-Cycle Cost and Environmental Performance
Source abstract
Abstract
Industrial machine tools are both performance assets and environmental hotspots over their long service lives. Maintenance is traditionally optimized to safeguard availability, quality and cost. However, maintenance choices also determine the energy consumption, footprints, component duration and end-of-life pathways. In this study, we present a decision framework to compare performance-only maintenance (POM) with sustainability-aware maintenance (SAM) for machine tools. The framework integrates degradation and Remaining Useful Life (RUL) estimation, Life Cycle Assessment (LCA) and Life Cycle Costing (LCC). Outcomes are summarized with a Sustainable Maintenance Balance (SMB) index. We test the proposed approach on a horizontal machining center for aluminum, validated by running a Monte Carlo simulation over a 1000 h functional unit. Across empirical data and simulation, SAM—compared to POM—demonstrated an ability to improve availability, reduces downtime and scrap, and lower total LCC while cutting carbon emissions. The proposed method is proposed as readily deployable in real plants, supporting robust sustainable-production decisions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Manufacturing Process and Optimization · Life Cycle Costing Analysis · Quality and Management Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Engineering, University of Basilicata, 85100 Potenza, Italy
Saar Meccanica srl, 24027 Nembro, Italy
References (37)
Show source-provided references
1. Review of life cycle models for enhancing machine tools sustainability: Lessons, trends and future directions10.1016/j.heliyon.2021.e06790 ↗
2. Wang, L., Cai, W., He, Y., Peng, T., Xie, J., Hu, L., and Li, L. (2023). Equipment–process–strategy integration for sustainable machining: A review. Front. Mech. Eng., 18.10.1007/s11465-023-0752-4 ↗
3. Cantini, A., De Carlo, F., and Tucci, M. (2020, January 9–11). Application of the lean layout planning system in a leather bags manufacturing plant and proposal of an approach to engage the company’s staff in the research of the layout solution. Proceedings of the Summer School “Francesco Turco”—Industrial Systems Engineering, Bergamo, Italy.
4. Zacharaki, A., Vafeiadis, T., Kolokas, N., Vaxevani, A., Xu, Y., Peschl, M., Ioannidis, D., and Tzovaras, D. (2020). RECLAIM: Toward a new era of refurbishment and remanufacturing of industrial equipment. Front. Artif. Intell., 3.10.3389/frai.2020.570562 ↗
5. Fantozzi, I., Di Luozzo, S., and Schiraldi, M.M. (2023). Industrial performance measurement systems coherence: A comparative analysis of current methodologies, validation and introduction to key activity indicators. Appl. Sci., 13.10.3390/app13010235 ↗
6. Performance indicators for measuring the effects of Smart Maintenance10.1108/IJPPM-03-2019-0129 ↗
7. Tool wear progression and its effect on energy consumption in turning of titanium alloy (Ti-6Al-4V)10.5194/ms-10-373-2019 ↗
8. Environmental benefits of remanufacturing mechanical products: A harmonized meta-analysis of comparative life cycle assessment studies10.1016/j.jenvman.2022.114479 ↗
9. Early detection of tool wear in electromechanical broaching machines by monitoring main stroke servomotors10.1016/j.ymssp.2023.110773 ↗
10. Condition-based maintenance policies for a combined wear and shock deterioration model with covariates10.1016/j.cie.2015.04.005 ↗
11. Bridging the gap between LCA, LCC and CBA as sustainability assessment tools10.1016/j.eiar.2014.05.001 ↗
12. A framework to identify environmental–economic trade-offs by combining life cycle assessment and life cycle costing—A case study of aluminium production10.1016/j.jclepro.2021.128902 ↗
13. A comprehensive framework covering life cycle sustainability assessment, resource circularity and criticality10.1016/j.spc.2024.01.018 ↗
14. Sustainable machining: Recent technological advances10.1016/j.cirp.2024.06.001 ↗
15. Revisiting machinability assessment: Towards total machining performance10.1016/j.cirp.2025.05.003 ↗
16. Optimization techniques for energy efficiency in machining processes—A review10.1007/s00170-023-10927-y ↗
17. Modelling the direct and embodied energy requirements of machining10.1016/j.jclepro.2022.132767 ↗
18. Measuring maintenance impacts on sustainability of manufacturing industries: From a systematic literature review to a framework proposal10.1016/j.jclepro.2020.121065 ↗
19. Maintenance transformation through Industry 4.0 technologies: A systematic literature review10.1016/j.compind.2020.103335 ↗
20. A Review on Three Decades of Manufacturing Maintenance Research: Past, Present and Future Directions
21. Physics-enhanced digital twin–based solution to control process state in a steel manufacturing plant
22. Cinar, Z.M., Nuhu, A.A., Zeeshan, Q., Korhan, O., Asmael, M., and Safaei, B. (2020). Machine learning in predictive maintenance towards sustainable smart manufacturing in Industry 4.0. Sustainability, 12.10.3390/su12198211 ↗
23. Ercan, E.M. (2013). Global Warming Potential of a Smartphone—Using Life Cycle Assessment Methodology. [Master’s Thesis, Royal Institute of Technology (KTH)].
24. Raut, J.M., Pande, P.B., Madurwar, K.V., Bhagat, R.M., Uparkar, S.S., Shelke, N., Isleem, H.F., and Vairagade, V.S. (2025). Life Cycle Assessment and Multicriteria Decision Making Analysis of Additive Manufacturing Processes towards Optimal Performance and Sustainability. Sci. Rep., 15.10.1038/s41598-025-92025-5 ↗
25. Environmental life-cycle costing: A code of practice10.1007/s11367-011-0287-5 ↗
26. Mancusi, F., Fruggiero, F., and Santarsiero, A. (2024, January 11–13). A value-oriented maintenance approach for product protection in EPR policies. Proceedings of the XXIX AIDI “Francesco Turco” Summer School—Industrial Systems Engineering, Otranto, Italy.
27. Towards energy and resource efficient manufacturing: A processes and systems approach10.1016/j.cirp.2012.05.002 ↗
28. Indirect drill condition monitoring based on machine tool control system data10.17973/MMSJ.2022_10_2022119 ↗
29. New developments and future prospects in commercial tool condition monitoring systems10.1016/j.measurement.2025.118037 ↗
30. (2020). Environmental Management—Life Cycle Assessment—Principles and Framework (Standard No. ISO 14040:2006).
31. (2020). Environmental Management—Life Cycle Assessment—Requirements and Guidelines (Standard No. ISO 14044:2006).
32. Impact of GHGs temporal dynamics on the GWP assessment of building materials: A case study on bio-based and non-bio-based walls10.1016/j.buildenv.2020.107210 ↗
33. Towards life cycle sustainability assessment10.3390/su2103309 ↗
34. Ratio, sum, or weighted sum? The curious case of BASF’s eco-efficiency analysis10.1021/acssuschemeng.2c01073 ↗
35. Maintenance management for geographically distributed assets: A criticality-based approach10.1016/j.ress.2021.108148 ↗
36. Leoni, L., Cantini, A., De Carlo, F., Salvio, M., Martini, C., Toro, C., and Martini, F. (2021). Energy-saving technology opportunities and investments of the Italian foundry industry. Energies, 14.10.3390/en14248470 ↗
37. Leoni, L., BahooToroody, F., Khalaj, S., De Carlo, F., BahooToroody, A., and Abaei, M.M. (2021). Bayesian estimation for reliability engineering: Addressing the influence of prior choice. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18073349 ↗