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Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

Citations

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Cited by:

  1. Devika Kannan & Parvaneh Gholipour & Chunguang Bai, 2023. "Smart manufacturing as a strategic tool to mitigate sustainable manufacturing challenges: a case approach," Annals of Operations Research, Springer, vol. 331(1), pages 543-579, December.
  2. Goran Otić & Oliver Momčilović & Ljiljana Radovanović & Goran Jovanov & Dragica Radosav & Jasmina Pekez, 2021. "Mathematical Analysis of Criteria for Maintenance of Technical Systems in the Function of Achieving Sustainability," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
  3. Mădălin SILION & George Jr SUCIU & Alexandru CONSTANȚA & Lucian Alexandru NECULA & Ovidiu GHERGHE & Bogdan-Gabriel PĂDEANU, 2025. "Real-time monitoring and predictive maintenance for sustainable aquaculture management," International Conference on Machine Intelligence & Security for Smart Cities (TRUST) Proceedings, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 2, pages 37-47, december.
  4. Valentina De Simone & Valentina Di Pasquale & Maria Elena Nenni & Salvatore Miranda, 2023. "Sustainable Production Planning and Control in Manufacturing Contexts: A Bibliometric Review," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
  5. Ioannis Mallidis & Volha Yakavenka & Anastasios Konstantinidis & Nikolaos Sariannidis, 2021. "A Goal Programming-Based Methodology for Machine Learning Model Selection Decisions: A Predictive Maintenance Application," Mathematics, MDPI, vol. 9(19), pages 1-16, September.
  6. Nathaphon Boonnam & Tanatpong Udomchaipitak & Supattra Puttinaovarat & Thanapong Chaichana & Veera Boonjing & Jirapond Muangprathub, 2022. "Coral Reef Bleaching under Climate Change: Prediction Modeling and Machine Learning," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
  7. Maria Polorecka & Jozef Kubas & Pavel Danihelka & Katarina Petrlova & Katarina Repkova Stofkova & Katarina Buganova, 2021. "Use of Software on Modeling Hazardous Substance Release as a Support Tool for Crisis Management," Sustainability, MDPI, vol. 13(1), pages 1-15, January.
  8. Anbesh Jamwal & Rajeev Agrawal & Monica Sharma, 2025. "Challenges and opportunities for manufacturing SMEs in adopting industry 4.0 technologies for achieving sustainability: Empirical evidence from an emerging economy," Operations Management Research, Springer, vol. 18(2), pages 718-743, June.
  9. Hail Jung & Jinsu Jeon & Dahui Choi & Jung-Ywn Park, 2021. "Application of Machine Learning Techniques in Injection Molding Quality Prediction: Implications on Sustainable Manufacturing Industry," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
  10. Ju-Woong Yun & So-Won Choi & Eul-Bum Lee, 2025. "Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders," Energies, MDPI, vol. 18(9), pages 1-40, April.
  11. Bhaskar Roy & Debabrata Bera & Somya Nigam & S. K. Upadhyay, 2022. "A study of turbine failure pattern: a model optimization using machine learning," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1761-1770, August.
  12. Mengze Zheng & Te Li & Jing Ye, 2025. "The Confluence of AI and Big Data Analytics in Industry 4.0: Fostering Sustainable Strategic Development," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5479-5515, March.
  13. Anbesh Jamwal & Sushma Kumari & Rajeev Agrawal & Monica Sharma & Ismail Gölgeci, 2024. "Unlocking Circular Economy Through Digital Transformation: the Role of Enabling Factors in SMEs," International Journal of Global Business and Competitiveness, Springer, vol. 19(1), pages 24-36, June.
  14. Moamin A. Mahmoud & Naziffa Raha Md Nasir & Mathuri Gurunathan & Preveena Raj & Salama A. Mostafa, 2021. "The Current State of the Art in Research on Predictive Maintenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review," Energies, MDPI, vol. 14(16), pages 1-27, August.
  15. Li-Lun & Liu & Yao-Jen & Su, 2022. "Digital Transformation and Strategic Analysis of Human Resource Value," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(6), pages 1-6.
  16. Henry Ekwaro-Osire & Dennis Bode & Klaus-Dieter Thoben & Jan-Hendrik Ohlendorf, 2022. "Identification of Machine Learning Relevant Energy and Resource Manufacturing Efficiency Levers," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
  17. Olcay Özge Ersöz & Ali Fırat İnal & Adnan Aktepe & Ahmet Kürşad Türker & Süleyman Ersöz, 2022. "A Systematic Literature Review of the Predictive Maintenance from Transportation Systems Aspect," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
  18. Yaoxi Liu & Jinyu Wei & Xiaoxuan Wang, 2025. "Supply Chain Data Governance Optimization Based on Fuzzy DEMATEL-ISM," SAGE Open, , vol. 15(3), pages 21582440251, July.
  19. Zeki Murat Çınar & Qasim Zeeshan & Orhan Korhan, 2021. "A Framework for Industry 4.0 Readiness and Maturity of Smart Manufacturing Enterprises: A Case Study," Sustainability, MDPI, vol. 13(12), pages 1-32, June.
  20. Abdallah Moubayed & Abdallah Shami & Anwer Al-Dulaimi, 2022. "On End-to-End Intelligent Automation of 6G Networks," Future Internet, MDPI, vol. 14(6), pages 1-28, May.
  21. Krzysztof Lalik & Filip Wątorek, 2021. "Predictive Maintenance Neural Control Algorithm for Defect Detection of the Power Plants Rotating Machines Using Augmented Reality Goggles," Energies, MDPI, vol. 14(22), pages 1-18, November.
  22. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
  23. André Marie Mbakop & Joseph Voufo & Florent Biyeme & Jean Raymond Lucien Meva’a, 2022. "Moving to a Flexible Shop Floor by Analyzing the Information Flow Coming from Levels of Decision on the Shop Floor of Developing Countries Using Artificial Neural Network: Cameroon, Case Study," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(2), pages 255-270, June.
  24. Marek Nagy & Marcel Figura & Katarina Valaskova & George Lăzăroiu, 2025. "Predictive Maintenance Algorithms, Artificial Intelligence Digital Twin Technologies, and Internet of Robotic Things in Big Data-Driven Industry 4.0 Manufacturing Systems," Mathematics, MDPI, vol. 13(6), pages 1-28, March.
  25. Witold Torbacki, 2025. "Towards Sustainable Industry 4.0: An MCDA-Based Assessment Framework for Manufacturing and Logistics," Sustainability, MDPI, vol. 17(11), pages 1-28, June.
  26. Alisha Lakra & Shubhkirti Gupta & Ravi Ranjan & Sushanta Tripathy & Deepak Singhal, 2022. "The Significance of Machine Learning in the Manufacturing Sector: An ISM Approach," Logistics, MDPI, vol. 6(4), pages 1-15, October.
  27. Marios Karagiovanidis & Xanthoula Eirini Pantazi & Dimitrios Papamichail & Vassilios Fragos, 2023. "Early Detection of Cavitation in Centrifugal Pumps Using Low-Cost Vibration and Sound Sensors," Agriculture, MDPI, vol. 13(8), pages 1-26, August.
  28. Joma Aldrini & Ines Chihi & Lilia Sidhom, 2024. "Fault diagnosis and self-healing for smart manufacturing: a review," Journal of Intelligent Manufacturing, Springer, vol. 35(6), pages 2441-2473, August.
  29. Hrushikesh Sarangi & Pooja Goel & Dhruv Kumar & A. Anderson & Kuthalingam Venkadeshwaran, 2025. "Real-time process optimization in smart manufacturing with fuzzy PID and model predictive control," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(10), pages 3284-3293, October.
  30. Zhijuan Zong & Yu Guan, 2025. "AI-Driven Intelligent Data Analytics and Predictive Analysis in Industry 4.0: Transforming Knowledge, Innovation, and Efficiency," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 864-903, March.
  31. Francesco Polese & Carmen Gallucci & Luca Carrubbo & Rosalia Santulli, 2021. "Predictive Maintenance as a Driver for Corporate Sustainability: Evidence from a Public-Private Co-Financed R&D Project," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
  32. Bence Márk Szeszák & István Gergely Kerékjártó & László Soltész & Péter Galambos, 2025. "Industrial Revolutions and Automation: Tracing Economic and Social Transformations of Manufacturing," Societies, MDPI, vol. 15(4), pages 1-31, March.
  33. Dayo-Olupona, Oluwatobi & Genc, Bekir & Celik, Turgay & Bada, Samson, 2023. "Adoptable approaches to predictive maintenance in mining industry: An overview," Resources Policy, Elsevier, vol. 86(PA).
  34. Zander, Bennet & Lange, Kerstin & Haasis, Hans-Dietrich, 2021. "Designing the data supply chain of a smart construction factory," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 41-62, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  35. Shiza Mushtaq & M. M. Manjurul Islam & Muhammad Sohaib, 2021. "Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review," Energies, MDPI, vol. 14(16), pages 1-24, August.
  36. Saud Altaf & Shafiq Ahmad & Mazen Zaindin & Shamsul Huda & Sofia Iqbal & Muhammad Waseem Soomro, 2022. "Multiple Industrial Induction Motors Fault Diagnosis Model within Powerline System Based on Wireless Sensor Network," Sustainability, MDPI, vol. 14(16), pages 1-29, August.
  37. Bożena Zwolińska & Jakub Wiercioch, 2022. "Selection of Maintenance Strategies for Machines in a Series-Parallel System," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
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