A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0

The booming customized and personalized demands call for new production paradigms that complies with that change. The ubiquitous connection, digitization and sharing in the context of Industry 4.0 present an opportunity for next-generation production paradigm-personalized production, to meet the booming personalized demands with individual needs and preferences. Personalized production refers to a customer-centric production paradigm, where individual needs and preferences are transformed into personalized products and services at an affordable cost, by maximizing the benefit of connection and sharing throughout the product life-cycle. This paper reviews and identifies the evolution of production paradigms. A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0 is proposed. Besides, the impact of the implementation of personalized production is discussed from the aspects of customer-centric business model, social and environmental effects and challenges of data ownership. This paper provides helpful guidance and reference for personalized production paradigm.

[1]  M. Bogers,et al.  Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing , 2016 .

[2]  F. Jovane,et al.  Present and future of flexible automation: Towards new paradigms , 2003 .

[3]  F. Martina,et al.  Design for Additive Manufacturing , 2019 .

[4]  Ray Y. Zhong,et al.  Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands , 2020, Robotics Comput. Integr. Manuf..

[5]  Matthijs Langelaar,et al.  Topology optimization of 3D self-supporting structures for additive manufacturing , 2016 .

[6]  M. Dell The power of virtual integration: an interview with Dell Computer's Michael Dell. Interview by Joan Magretta. , 1998, Harvard business review.

[7]  Rebecca Duray Mass customization origins: mass or custom manufacturing? , 2002 .

[8]  Ali Vatankhah Barenji,et al.  Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform , 2018, Robotics and Computer-Integrated Manufacturing.

[9]  Melanie Swan,et al.  Blockchain: Blueprint for a New Economy , 2015 .

[10]  Satoshi Nakamoto Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[11]  Fei-Yue Wang,et al.  Towards blockchain-based intelligent transportation systems , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[12]  Jay Lee,et al.  A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems , 2019, Manufacturing Letters.

[13]  Yiming Rong,et al.  Towards Assembly 4.0: Graduation Intelligent Manufacturing System for Fixed-position Assembly Islands , 2019 .

[14]  David W. Rosen,et al.  Design for Additive Manufacturing , 2015, Additive Manufacturing Technologies.

[15]  Liang Hou,et al.  Additive manufacturing and its societal impact: a literature review , 2013 .

[16]  André Thomas,et al.  Digital transformation of manufacturing through cloud services and resource virtualization , 2019, Comput. Ind..

[17]  Dimitris Mourtzis,et al.  Design and Planning of Manufacturing Networks for Mass Customisation and Personalisation: Challenges and Outlook , 2014 .

[18]  Gideon Levy,et al.  RAPID MANUFACTURING AND RAPID TOOLING WITH LAYER MANUFACTURING (LM) TECHNOLOGIES, STATE OF THE ART AND FUTURE PERSPECTIVES , 2003 .

[19]  Gianluca Percoco,et al.  Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry , 2019, Comput. Ind..

[20]  Y. Sugimori,et al.  Toyota production system and Kanban system Materialization of just-in-time and respect-for-human system , 1977 .

[21]  Ray Y. Zhong,et al.  A roadmap for Assembly 4.0: self-configuration of fixed-position assembly islands under Graduation Intelligent Manufacturing System , 2020, Int. J. Prod. Res..