Mitigating the challenges inherent in the shared manufacturing ecosystem

Elkanah Olaosebikan Oyetunji

https://orcid.org/0000-0003-2185-6396

Nigeria

Lagos State University image/svg+xml

Department of Mechanical Engineering

Ebenezer Ayooluwa Oyetunji

Nigeria

University of Ibadan image/svg+xml

Department of Mechanical Engineering

Submitted: 2026-01-03

|

Accepted: 2026-02-21

|

Published: 2026-06-22

DOI: https://doi.org/10.4995/jarte.2026.25345

Copyright (c) 2026 Elkanah Olaosebikan Oyetunji, Oriyomi Idris Abagun, Ebenezer Ayooluwa Oyetunji

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Funding Data

Downloads

Keywords:

shared manufacturing, shared manufacturing complexity, high-degree dynamics in shared manufacturing, uncertainty in shared manufacturing, shared manufacturing challenges, shared mfg, manufacturing

Supporting agencies:

This research was not funded

Abstract:

Shared Manufacturing (SharedMfg) leverages the sharing economy principles to optimize resource utilization, reduce costs and drive innovation. Despite its potential benefits, the SharedMfg ecosystem faces challenges such as operational complexity, high-degree dynamics, uncertainty, and intellectual property concerns. This paper explores these inherent challenges within the shared manufacturing ecosystem and proposes solutions like standardization, predictive analytics, agile supply chains, and robust cybersecurity measures to address these challenges. The paper highlights the potential role of transparency, technology integration, and blockchain implementation in addressing risks associated with shared manufacturing. By addressing these difficulties, the study aims to promote collaboration, enhance efficiency, and support sustainability within the SharedMfg ecosystem. Ultimately, this research aims to contribute to shared manufacturing practices by offering a framework for addressing these challenges, potentially positioning SharedMfg as an important manufacturing approach.

Show more Show less

References:

Ahmed, S. F., Alam, Md. S. B., Hoque, M., Lameesa, A., Afrin, S., Farah, T., Kabir, M., Shafiullah, G., & Muyeen, S. M. (2023). Industrial Internet of Things enabled technologies, challenges, and future directions. Computers and Electrical Engineering, 110, 108847. https://doi.org/10.1016/j.compeleceng.2023.108847

Benghename, Y., Lounis, A., Sallak, M., & Schön, W. (2025). Cybersecurity Standards Across Industries: A Critical Analysis of Current Practices and Future Directions in the Railway Sector. IEEE Transactions on Intelligent Transportation Systems, 26(12), 21371–21392. https://doi.org/10.1109/TITS.2025.3615531

Chen, Z., Zhang, L., Wang, X., & Wang, K. (2023). Cloud–edge collaboration task scheduling in cloud manufacturing: An attention-based deep reinforcement learning approach. Computers & Industrial Engineering, 177, 109053. https://doi.org/10.1016/j.cie.2023.109053

Cindrić, I., Jurčević, M., & Hadjina, T. (2025). Mapping of Industrial IoT to IEC 62443 Standards. Sensors, 25(3), 728. https://doi.org/10.3390/s25030728

Dolgui, A., Ivanov, D., & Sokolov, B. (2020). Reconfigurable supply chain: The X-network. International Journal of Production Research, 58(13), 4138–4163. https://doi.org/10.1080/00207543.2020.1774679

Duran, E., Ozturk, C., & O’Sullivan, B. (2025). Planning and scheduling shared manufacturing systems: Key characteristics, current developments and future trends. International Journal of Production Research, 63(13), 4958–4990. https://doi.org/10.1080/00207543.2024.2442549

Dwivedi, S. K., Roy, P., Karda, C., Agrawal, S., & Amin, R. (2021). Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey. Security and Communication Networks, 2021, 1–21. https://doi.org/10.1155/2021/7142048

Gaus, T., & Schlotterbeck, M. (2025). 2025 Smart Manufacturing and Operations Survey: Navigating challenges to implementation. Deloitte. https://www.deloitte.com/us/en/insights/industry/manufacturing-industrial-products/2025-smart-manufacturing-survey.html

Gharibvand, V., Kolamroudi, M. K., Zeeshan, Q., Çınar, Z. M., Sahmani, S., Asmael, M., & Safaei, B. (2024). Cloud based manufacturing: A review of recent developments in architectures, technologies, infrastructures, platforms and associated challenges. The International Journal of Advanced Manufacturing Technology, 131(1), 93–123. https://doi.org/10.1007/s00170-024-12989-y

Gong, X., Song, M., Wang, S., Jiao, R. J., & Helo, P. (2025). Crowdsourced Manufacturing in Industry 4.0: Implications and Prospects. Systems, 13(3), 183. https://doi.org/10.3390/systems13030183

Hansch, G., Schneider, P., & Brost, G. S. (2019). Deriving Impact-driven Security Requirements and Monitoring Measures for Industrial IoT. Proceedings of the 5th on Cyber-Physical System Security Workshop, 37–45. https://doi.org/10.1145/3327961.3329528

He, J., Zhang, J., & Gu, X. (2019). Research on sharing manufacturing in Chinese manufacturing industry. The International Journal of Advanced Manufacturing Technology, 104(1–4), 463–476. https://doi.org/10.1007/s00170-019-03886-w

Jurmu, M., Niskanen, I., Kinnula, A., Kääriäinen, J., Ylikerälä, M., Räsänen, P., & Tuikka, T. (2023). Exploring the Role of Federated Data Spaces in Implementing Twin Transition within Manufacturing Ecosystems. Sensors, 23(9), 4315. https://doi.org/10.3390/s23094315

Kiatipis, A., & Xanthopoulos, A. (2024). Cloud Usage for Manufacturing: Challenges and Opportunities. Procedia Computer Science, 232, 1412–1419. https://doi.org/10.1016/j.procs.2024.01.139

Lei, W., Yang, L., Yan, P., Chu, C., & Yang, J. (2025). Production coordination of local and cloud orders in shared manufacturing: A bi-objective pre-scheduling approach. Annals of Operations Research, 345(1), 207–245. https://doi.org/10.1007/s10479-024-06380-z

Li, M., Fu, Y., Chen, Q., & Qu, T. (2023). Blockchain-enabled digital twin collaboration platform for heterogeneous socialized manufacturing resource management. International Journal of Production Research, 61(12), 3963–3983. https://doi.org/10.1080/00207543.2021.1966118

Li, P., & Jiang, P. (2021). Enhanced agents in shared factory: Enabling high-efficiency self-organization and sustainability of the shared manufacturing resources. Journal of Cleaner Production, 292, 126020. https://doi.org/10.1016/j.jclepro.2021.126020

Liu, P., & Chen, Y. (2022). Differential Game Model of Shared Manufacturing Supply Chain Considering Low-Carbon Emission Reduction. Sustainability, 14(18), 11379. https://doi.org/10.3390/su141811379

Liu, P., & Wei, X. (2022). Three-Party Evolutionary Game of Shared Manufacturing under the Leadership of Core Manufacturing Company. Sustainability, 14(20), 13682. https://doi.org/10.3390/su142013682

Liu, P., & Zou, Y. (2021). Two-Sided Matching Model of Shared Manufacturing Resources considering Psychological Behavior of Agents. Discrete Dynamics in Nature and Society, 2021, 1–11. https://doi.org/10.1155/2021/7491913

Liu, P., Liu, C., & Wei, X. (2021). Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming. Discrete Dynamics in Nature and Society, 2021, 1–15. https://doi.org/10.1155/2021/6474241

Lv, D. D., & Schotter, A. P. J. (2025). The Dark Side of Powerful Platform Owners: Aspiration Adaptations of Digital Firms. Academy of Management Perspectives, 39(3), 501–520. https://doi.org/10.5465/amp.2022.0169

Masum, R. (2023). Cyber Security in Smart Manufacturing (Threats, Landscapes Challenges) (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2304.10180

Möller, F., Jussen, I., Springer, V., Gieß, A., Schweihoff, J. C., Gelhaar, J., Guggenberger, T., & Otto, B. (2024). Industrial data ecosystems and data spaces. Electronic Markets, 34(1), 41. https://doi.org/10.1007/s12525-024-00724-0

Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2022). Digital Manufacturing. In The Digital Supply Chain (pp. 27–45). Elsevier. https://doi.org/10.1016/B978-0-323-91614-1.00002-2

Munoz-Arcentales, A., López-Pernas, S., Pozo, A., Alonso, Á., Salvachúa, J., & Huecas, G. (2019). An Architecture for Providing Data Usage and Access Control in Data Sharing Ecosystems. Procedia Computer Science, 160, 590–597. https://doi.org/10.1016/j.procs.2019.11.042

Narula, R. (2022). IPRs, Cross-border (Collaborative) Innovation and Development Challenges: A Commentary. In R. Narula, Cross-Border Innovation in a Changing World (pp. 346–360). Oxford University Press. https://doi.org/10.1093/oso/9780198870067.003.0019

Oyetunji, E. O., Abagun, O. I., & Oyetunji, E. A. (2025). Shared manufacturing: Opportunities and prospects. Journal of Applied Research in Technology & Engineering, 6(2), 23–32. https://doi.org/10.4995/jarte.2025.23138

Rožman, N., Corn, M., Škulj, G., Diaci, J., & Šubelj, L. (202a1). Emergence of a scale-free network topology in a blockchainbased Shared Manufacturing. 2021 Third International Conference on Blockchain Computing and Applications (BCCA), 172–178. https://doi.org/10.1109/BCCA53669.2021.9656968

Rožman, N., Diaci, J., & Corn, M. (2021b). Scalable framework for blockchain-based shared manufacturing. Robotics and Computer-Integrated Manufacturing, 71, 102139. https://doi.org/10.1016/j.rcim.2021.102139

Thakare, S. B., & Poddar, S. (2025). Secure mechanical design and manufacturing: Preventing IP theft via cybersecurity. International Journal of Science and Research Archive, 14(2), 638–645. https://doi.org/10.30574/ijsra.2025.14.2.0414

Silva, G. F. D., Casarotto Filho, N., & Frazzon, E. M. (2020). Simulation-based analysis of shared manufacturing systems. Gestão & Produção, 27(1), e3718. https://doi.org/10.1590/0104-530x3718-20

Syamsir, S., Saputra, N., & Mulia, R. A. (2025). Leadership agility in a VUCA world: A systematic review, conceptual insights, and research directions. Cogent Business & Management, 12(1), 2482022. https://doi.org/10.1080/23311975.2025.2482022

Wang, G., Zhang, G., Guo, X., & Zhang, Y. (2021). Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing. Journal of Manufacturing Systems, 59, 165–179. https://doi.org/10.1016/j.jmsy.2021.02.008

Yu, C., Jiang, X., Yu, S., & Yang, C. (2020). Blockchain-based shared manufacturing in support of cyber physical systems: Concept, framework, and operation. Robotics and Computer-Integrated Manufacturing, 64, 101931. https://doi.org/10.1016/j.rcim.2019.101931

Zaid, A. A., & Jum’a, L. (2026). The Role of AI-Driven Supply Chains in Shaping Agility, Adaptability, and Technology Adoption Under Market Turbulence. Logistics, 10(2), 49. https://doi.org/10.3390/logistics10020049

Zhang, L., Ou, C., Magana-Arachchi, D., Vithanage, M., Vanka, K. S., Palanisami, T., Masakorala, K., Wijesekara, H., Yan, Y., Bolan, N., & Kirkham, M. B. (2021). Indoor Particulate Matter in Urban Households: Sources, Pathways, Characteristics, Health Effects, and Exposure Mitigation. International Journal of Environmental Research and Public Health, 18(21), 11055. https://doi.org/10.3390/ijerph182111055

Zhang, Z., Wang, X., Su, C., & Sun, L. (2022a). Evolutionary Game Analysis of Shared Manufacturing Quality Innovation Synergetic Behavior Considering a Subject’s Heterogeneous Emotions. Processes, 10(7), 1233. https://doi.org/10.3390/pr10071233

Zhang, Z., Wang, X., Su, C., & Sun, L. (2022b). Evolutionary Game Analysis of Shared Manufacturing Quality Synergy under Dynamic Reward and Punishment Mechanism. Applied Sciences, 12(13), 6792. https://doi.org/10.3390/app12136792

Show more Show less