Enhancing the Reliability of Mechatronic Devices for Sustainable Industry 4.0 Systems

Authors

Keywords:

Cyber-Physical Systems, Digital Twin, Industry 4.0, Mechatronic Devices, Predictive Maintenance, System Reliability

Abstract

Industry 4.0 promises remarkable efficiency gains, with potential energy consumption and greenhouse gas emission reductions of 30% to 40% in manufacturing processes. While this digital transformation offers significant benefits through the integration of mechatronic devices, we're witnessing an increasing number of system failures that threaten these advantages. Despite the potential for enhanced operational efficiency and production flexibility, mechatronic systems face serious challenges in the Industry 4.0 environment. The lack of standardization in IoT devices creates security vulnerabilities, while cyber-physical systems expose critical infrastructure to new threats. Additionally, the rapid pace of technological change has created a significant skills gap, where existing workforce struggles to operate and maintain these advanced systems effectively. We're seeing these challenges manifest across various industries, as the complexity of integrating Industry 4.0 technologies demands continuous investment in infrastructure and workforce development. In this article, we'll examine why these failures occur and provide practical solutions to ensure your mechatronic devices can reliably support your Industry 4.0 initiatives.

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References

[1] Ihor Yakovenko, Alexander Permyakov, Sergey Dobrotvorskiy, Yevheniia Basova, Alexey Kot- liar, and Artem Zinchenko. “Prospects for the development of process equipment in aggregate- modular design for sustainable mechanical engineering”. In: International Journal of Mecha- tronics and Applied Mechanics 13 (2023), pp. 145–156.

[2] Mikuláš Huba and Štefan Kozák. “From E-learning to Industry 4.0”. In: 2016 International Con- ference on Emerging eLearning Technologies and Applications (ICETA). IEEE. 2016, pp. 103–108.

[3] Kamil Židek, Ján Pitel’, Milan Adámek, Peter Lazorík, and Alexander Hošovsky`. “Digital twin of experimental smart manufacturing assembly system for industry 4.0 concept”. In: Sustain-ability 12.9 (2020), p. 3658.

[4] Bashir Salah, Mohammed Alnahhal, and Mujahid Ali. “Risk prioritization using a modified FMEA analysis in industry 4.0”. In: Journal of Engineering Research 11.4 (2023), pp. 460–468.

[5] William Coetzee, Reiner Khumalo, Brendan Le Roux, and Ebrahim Van Wyk. “Sickle Cell Dis- ease: Causes, Symptoms, and Treatment”. In: Fusion of Multidisciplinary Research, An International Journal (FMR) 3.1 (2022), pp. 275–286.

[6] Gholamhosein Moloudian, Mohammadamin Hosseinifard, Sanjeev Kumar, Roy BVB Simorangkir, John L Buckley, Chaoyun Song, Gualtiero Fantoni, and Brendan O’Flynn. “RF energy harvesting techniques for battery-less wireless sensing, Industry 4.0, and Internet of Things: A review”. In: IEEE Sensors Journal 24.5 (2024), pp. 5732–5745.

[7] Rohit Sharma, Sachin Kamble, Venkatesh Mani, and Amine Belhadi. “An empirical investi- gation of the influence of industry 4.0 technology capabilities on agriculture supply chain integration and sustainable performance”. In: IEEE Transactions on Engineering Management 71 (2022), pp. 12364–12384.

[8] Ahmadzai Ahmadi, Ali Hassan Sodhro, Chantal Cherifi, Vincent Cheutet, and Yacine Ouzrout. “Evolution of 3C cyber-physical systems architecture for industry 4.0”. In: International Work- shop on Service Orientation in Holonic and Multi-Agent Manufacturing. Springer. 2018, pp. 448– 459.

[9] Mani D Choudhry, Jeevanandham Sivaraj, Sundarrajan Munusamy, Parimala D Muthusamy, and V Saravanan. “Industry 4.0 in manufacturing, communication, transportation, and health care”. In: Topics in Artificial Intelligence Applied to Industry 4.0 (2024), pp. 149–165.

[10] Guilherme Marques, Francisco Gonçalves, Marco Gomes, and Beatriz Pereira. “Observations Biomedicals in Veterinary Pathobiology”. In: Fusion of Multidisciplinary Research, An Interna- tional Journal (FMR) 3.2 (2022), pp. 316–328.

[11] Mohsen Soori, Roza Dastres, Behrooz Arezoo, and Fooad Karimi Ghaleh Jough. “Intelligent robotic systems in Industry 4.0: A review”. In: Journal of Advanced Manufacturing Science and Technology (2024), pp. 2024007–.

[12] Erich Stark, Erik Kučera, Oto Haffner, Peter Drahoš, and Roman Leskovsky`. “Using augmented reality and internet of things for control and monitoring of mechatronic devices”. In: Electron- ics 9.8 (2020), p. 1272.

[13] Fernanda Hernández, Leonardo Sánchez, Gabriela González, and Andrés Ramírez. “Revolu- tionizing CMOS VLSI with Innovative Memory Design Techniques”. In: Fusion of Multidisci- plinary Research, An International Journal (FMR) 3.2 (2022), pp. 366–379.

[14] Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, and Antonio Giallanza. “Industry 4.0 tech- nologies for manufacturing sustainability: A systematic review and future research direc- tions”. In: Applied Sciences 11.12 (2021), p. 5725.

[15] Eusebio Jiménez López, Francisco Cuenca Jiménez, Gabriel Luna Sandoval, Francisco Javier Ochoa Estrella, Marco Antonio Maciel Monteón, Flavio Muñoz, and Pablo Alberto Limón Leyva. “Technical considerations for the conformation of specific competences in mechatronic engineers in the context of industry 4.0 and 5.0”. In: Processes 10.8 (2022), p. 1445.

[16] Maki K Habib and Chukwuemeka Chimsom. “Industry 4.0: Sustainability and design princi- ples”. In: 2019 20th international conference on research and education in mechatronics (REM). IEEE. 2019, pp. 1–8.

[17] Giulio Demilia, Antonella Gaspari, and Emanuela Natale. “Measurements for smart manufac- turing in an Industry 4.0 scenario a case-study on a mechatronic system”. In: 2018 Workshop on Metrology for Industry 4.0 and IoT. IEEE. 2018, pp. 1–5.

[18] Anastasia Klymenko, Snizhana Shevchenko, Rostislav Marchenko, and Dmitriy Tkachenko. “Electrode Batteries: Organic Material’s influence on Lithium-Ion Battery Performance”. In: Fusion of Multidisciplinary Research, An International Journal (FMR) 4.2 (2023), pp. 458–470.

[19] Kaya Kuru and Halil Yetgin. “Transformation to advanced mechatronics systems within new industrial revolution: A novel framework in automation of everything (AoE)”. In: IEEE Access 7 (2019), pp. 41395–41415.

[20] Sunday A Afolalu, Omolayo M Ikumapayi, Ademola Abdulkareem, Samuel B Soetan, Moses E Emetere, and Samson O Ongbali. “Enviable roles of manufacturing processes in sustainable fourth industrial revolution–A case study of mechatronics”. In: Materials Today: Proceedings 44 (2021), pp. 2895–2901.

[21] Manuela Horvat, Valentina Novak, Frederik Antunovic, and Dario Blazevic. “Reflecting on the Mutation Rate Variability in Plant Genomes: An In-depth Analysis”. In: Fusion of Multidisci- plinary Research, An International Journal (FMR) 5.1 (2024), pp. 556–567.

[22] Vasiliki Liagkou, Chrysostomos Stylios, Lamprini Pappa, and Alexander Petunin. “Challenges and opportunities in industry 4.0 for mechatronics, artificial intelligence and cybernetics”. In: Electronics 10.16 (2021), p. 2001.

[23] Peter Onu and Charles Mbohwa. “Mechatronic Integrated Solutions: Advancing Sustainable Manufacturing through Collaborative Engineering, Industry 4.0 Innovations, and Digital Econ- omy Synergies”. In: 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE. 2024, pp. 1–7.

[24] Daniel Hofmann, Michael Kopp, and Bernd Bertsche. “Development in Mechatronics Enhanc- ing reliability by means of a sustainable use of information”. In: 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. IEEE. 2010, pp. 1263–1268.

[25] Mutaz Ryalat, Enrico Franco, Hisham Elmoaqet, Natheer Almtireen, and Ghaith Al-Refai. “The integration of advanced mechatronic systems into industry 4.0 for smart manufacturing”. In: Sustainability 16.19 (2024), p. 8504.

[26] Alberto Villalonga, Gerardo Beruvides, Fernando Castano, and Rodolfo E Haber. “Cloud-based industrial cyber–physical system for dat driven reasoning: A review and use case on an in- dustry 4.0 pilot line”. In: IEEE Transactions on Industrial Informatics 16.9 (2020), pp. 5975–5984.

[27] Zhang Q., Deng H., and Song K. “Latest VLSI Techniques for 3nm Technology for Building Efficient AI Chips”. In: Fusion of Multidisciplinary Research, An International Journal (FMR) 5.2 (2024), pp. 654–670.

[28] Ibrahim Haleem Khan and Mohd Javaid. “Role of Internet of Things (IoT) in adoption of In- dustry 4.0”. In: Journal of Industrial Integration and Management 7.04 (2022), pp. 515–533.

[29] Izabela Rojek, Ewa Dostatni, Jakub Kopowski, Marek Macko, and Dariusz Mikołajewski. “AI- based support system for monitoring the quality of a product within industry 4.0 paradigm”. In: Sensors 22.21 (2022), p. 8107.

[30] Xi Vincent Wang and Lihui Wang. “Digital twin-based WEEE recycling, recovery and reman- ufacturing in the background of Industry 4.0”. In: International Journal of Production Research 57.12 (2019), pp. 3892–3902.

[31] Douglas Okafor Chukwuekwe, Per Schjølberg, Harald Rødseth, and Alex Stuber. “Reliable, robust and resilient systems: towards development of a predictive maintenance concept within the industry 4.0 environment”. In: EFNMS Euro maintenance conference. 2016.

[32] Nader Mohamed, Jameela Al-Jaroodi, and Sanja Lazarova-Molnar. “Leveraging the capabilities of industry 4.0 for improving energy efficiency in smart factories”. In: Ieee Access 7 (2019), pp. 18008–18020.

[33] Dietmar PF Möller, Hamid Vakilzadian, and Roland E Haas. “From Industry 4.0 towards In- dustry 5.0”. In: 2022 IEEE international conference on electro information technology (eIT). IEEE. 2022, pp. 61–68.

[34] Basheer Wasef Shaheen and István Németh. “Integration of maintenance management system functions with industry 4.0 technologies and features—A review”. In: Processes 10.11 (2022), p. 2173.

[35] Sushil Kumar Sahoo, Shankha Shubhra Goswami, and Rohit Halder. “Supplier selection in the age of industry 4.0: a review on MCDM applications and trends”. In: Decision making advances 2.1 (2024), pp. 32–47.

[36] Anas Mahmoud Atieh, Kavian Omar Cooke, and Oleksiy Osiyevskyy. “The role of intelligent manufacturing systems in the implementation of Industry 4.0 by small and medium enter- prises in developing countries”. In: Engineering Reports 5.3 (2023), e12578.

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Published

2025-08-25

How to Cite

Thabo Sipho, Themba Johan, & Pieter Sibusiso. (2025). Enhancing the Reliability of Mechatronic Devices for Sustainable Industry 4.0 Systems. Fusion of Multidisciplinary Research, An International Journal, 6(2), 812-828. https://fusionproceedings.org/fmr/1/article/view/94