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IoT-enabled cloud-based additive manufacturing platform to support rapid product development

Author

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  • Yuanbin Wang
  • Yuan Lin
  • Ray Y. Zhong
  • Xun Xu

Abstract

Additive Manufacturing (AM) with its unique capabilities provides a new way of rapid product development. The emerging Cloud Manufacturing paradigm makes it much easier to access various AM resources with minimum investment. Distributed recourses can also be utilised more efficiently. However, the current cloud platforms mainly focus on providing simple 3D printing services, rather than support the customers throughout the product development process, from design, to process planning, and to printing. Therefore, a new cloud platform is proposed to integrate not only hard resources such as 3D printers and materials, but also soft resources such as the know-how and test data to provide supports on printing as well as design and process planning. Internet of Things provides new capabilities to the cloud platform, enabling customers to remotely control and monitor the printing process. The paper also examined the feasibility of Artificial Neural Networks for surface defect detection. The platform is able to work in dynamic and iterative product development processes and reduce development time and cost. An illustrative platform is developed to demonstrate the functionalities.

Suggested Citation

  • Yuanbin Wang & Yuan Lin & Ray Y. Zhong & Xun Xu, 2019. "IoT-enabled cloud-based additive manufacturing platform to support rapid product development," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3975-3991, June.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:12:p:3975-3991
    DOI: 10.1080/00207543.2018.1516905
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    Citations

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    Cited by:

    1. Beenish Tariq & Sadaf Taimoor & Hammad Najam & Rob Law & Waseem Hassan & Heesup Han, 2020. "Generating Marketing Outcomes through Internet of Things (IoT) Technologies," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    2. Rajesh Singh & Anita Gehlot & Shaik Vaseem Akram & Lovi Raj Gupta & Manoj Kumar Jena & Chander Prakash & Sunpreet Singh & Raman Kumar, 2021. "Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    3. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    4. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    5. Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    7. Battaglia, Daniele & Galati, Francesco & Molinaro, Margherita & Pessot, Elena, 2023. "Full, hybrid and platform complementarity: Exploring the industry 4.0 technology-performance link," International Journal of Production Economics, Elsevier, vol. 263(C).
    8. Viswanath Venkatesh, 2022. "Adoption and use of AI tools: a research agenda grounded in UTAUT," Annals of Operations Research, Springer, vol. 308(1), pages 641-652, January.

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