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3D printing technology and its impact on Chinese manufacturing

Author

Listed:
  • Yunguang Long
  • Jieyi Pan
  • Qinghui Zhang
  • Yingjie Hao

Abstract

For both developed and developing countries, manufacturing plays a crucial role in international competition. There is a growing consensus that 3D printing (3DP) technologies will revolutionise the development of global manufacturing. Although considerable research has previously been conducted to define the technological and economic benefits of 3DP on global manufacturing, minimal research has linked 3DP with Chinese manufacturing (CM). Therefore, to address this research gap and to investigate 3DP’s potential impact on alleviating CM’s development issues, this paper explores the definition, characteristics and mainstream technologies of 3DP, presents the current situation and the main problems of CM, and analyses the potential impact of 3DP on the development of CM. Then, this study introduces the current 3DP promotion and industrialisation situation in China as well as the issues with promoting 3DP in CM.

Suggested Citation

  • Yunguang Long & Jieyi Pan & Qinghui Zhang & Yingjie Hao, 2017. "3D printing technology and its impact on Chinese manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1488-1497, March.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:5:p:1488-1497
    DOI: 10.1080/00207543.2017.1280196
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    References listed on IDEAS

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    1. World Bank, 2014. "World Development Indicators 2014," World Bank Publications - Books, The World Bank Group, number 18237, December.
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    Cited by:

    1. Wen Liu & Xielin Liu & Ying Liu & Jie Wang & Steve Evans & Miying Yang, 2023. "Unpacking Additive Manufacturing Challenges and Opportunities in Moving towards Sustainability: An Exploratory Study," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    2. 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).
    3. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    4. Caviggioli, Federico & Ughetto, Elisa, 2019. "A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society," International Journal of Production Economics, Elsevier, vol. 208(C), pages 254-268.
    5. Khadija Ajmal & Nallan C. Suresh & Charles X. Wang, 2021. "Disruptive Technologies and Sustainable Supply Chain Management: A Review and Cross-Case Analysis," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 11(2), pages 1-77, December.

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