TY - JOUR
T1 - Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm
AU - Leng, Jiewu
AU - Zhong, Yuanwei
AU - Lin, Zisheng
AU - Xu, Kailin
AU - Mourtzis, Dimitris
AU - Zhou, Xueliang
AU - Zheng, Pai
AU - Liu, Qiang
AU - Zhao, J. Leon
AU - Shen, Weiming
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China under Grant Nos. U20A6004 and 52075107; the State Administration of Science, Technology and Industry for National Defense, PRC under Grant No. JCKY2020209B005; and the Natural Science Fund of Guangdong Province under Grant No. 2022B1515020006.
Publisher Copyright:
© 2023 The Society of Manufacturing Engineers
PY - 2023/12
Y1 - 2023/12
N2 - Manufacturers are increasingly aware of the importance of system resilience against unexpected disruptive occurrences, such as the recent global Covid-19 pandemic and geopolitical wars in Europe. Meanwhile, Decentralized Autonomous Organization (DAO) is recently envisioned as the Blockchain 3.0 stage, in which enabling DAO in the manufacturing domain could be a promising attempt and will lead to decentralized autonomous manufacturing. Blockchain-enabled smart contracts and decentralized applications have the characteristics of verifiability, decentralization, transparency, autonomy, and tamper-proofing, which can enable a mass individualization paradigm to realize the promising Industry 5.0 vision of resilience. DAO provides a probable manner to regulate cross-prosumer activities under the Industry 5.0 context. Inspired by this vision, our paper reviews the literature on Decentralized Manufacturing (DM) and Autonomous Manufacturing (AM). Then, these two streams of efforts are unified, and a manufacturing paradigm, named Decentralized Autonomous Manufacturing (DAM), is defined towards resilience in Industry 5.0. In this paper, a reference architecture of the DAM is given. Followed by a comprehensive investigation of the key enablers, challenges, and barriers in the implementation of DAM, based on the insights from this analysis, future research directions of DAM are highlighted. We believe that our effort can lay a foundation for positioning DAM in futuristic Industry 5.0 research and engineering practice.
AB - Manufacturers are increasingly aware of the importance of system resilience against unexpected disruptive occurrences, such as the recent global Covid-19 pandemic and geopolitical wars in Europe. Meanwhile, Decentralized Autonomous Organization (DAO) is recently envisioned as the Blockchain 3.0 stage, in which enabling DAO in the manufacturing domain could be a promising attempt and will lead to decentralized autonomous manufacturing. Blockchain-enabled smart contracts and decentralized applications have the characteristics of verifiability, decentralization, transparency, autonomy, and tamper-proofing, which can enable a mass individualization paradigm to realize the promising Industry 5.0 vision of resilience. DAO provides a probable manner to regulate cross-prosumer activities under the Industry 5.0 context. Inspired by this vision, our paper reviews the literature on Decentralized Manufacturing (DM) and Autonomous Manufacturing (AM). Then, these two streams of efforts are unified, and a manufacturing paradigm, named Decentralized Autonomous Manufacturing (DAM), is defined towards resilience in Industry 5.0. In this paper, a reference architecture of the DAM is given. Followed by a comprehensive investigation of the key enablers, challenges, and barriers in the implementation of DAM, based on the insights from this analysis, future research directions of DAM are highlighted. We believe that our effort can lay a foundation for positioning DAM in futuristic Industry 5.0 research and engineering practice.
KW - Blockchain 3.0
KW - Decentralized autonomous manufacturing
KW - Industry 5.0
KW - Mass individualization
KW - Resilient manufacturing systems
UR - http://www.scopus.com/inward/record.url?scp=85170636661&partnerID=8YFLogxK
U2 - 10.1016/j.jmsy.2023.08.023
DO - 10.1016/j.jmsy.2023.08.023
M3 - Review article
AN - SCOPUS:85170636661
SN - 0278-6125
VL - 71
SP - 95
EP - 114
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
ER -