Abstract
The increasing of personalized demands requires manufacturing industry to own high flexibility and rapid response to market. In this situation, a social manufacturing network (SMN) is formed with distributed socialized manufacturing resources (SMRs) to provide more precise and professional service for customers. SMN is a decentralized network in which the credibility and responsibility of cross-enterprise production activities are difficult to ensure, because there are no trusted third parties to supervise them. For solving this problem, a manufacturing cyber-credits for SMN that applies the decentralized blockchain technology is put forward to regulate production activities of SMRs. The concept and framework of the proposed mechanism are firstly given. Then, several key enabling technologies are discussed to support the implementation of the mechanism. It is expected that the manufacturing cyber-credits could provide a possible way to normalize and regulate cross-enterprise production activities under social manufacturing paradigm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sun J, Yan J, Zhang KZK (2016) Blockchain-based sharing services: what blockchain technology can contribute to smart cities. Financ Innov 2(1):26–34
Jiang PY, Leng JW, Ding K (2016) Social manufacturing: a survey of the state-of-the-art and future challenges. In: IEEE International Conference on Service Operations and Logistics, and Informatics, Beijing, China, 10–12 July 2016
Jiang PY, Ding K, Leng JW (2016) Towards a cyber-physical-social-connected and service-oriented manufacturing paradigm: Social Manufacturing. Manuf Lett 7:15–21
Jiang PY, Leng JW (2017) The configuration of social manufacturing a social intelligence way toward service-oriented manufacturing. Int J Manuf Res 12(1):4–19
Jiang PY, Leng JW, Ding K (2016) Social manufacturing: a survey of the state-of-the-art and future challenges. In: IEEE International Conference on Service Operations and Logistics, and Informatics, Beijing, China, 10–12 July 2016
Jiang PY, Leng JW, Ding K, Gu P, Koren Y (2016) Social Manufacturing as a sustainable paradigm for mass individualization. Proc Inst Mech Eng, Part B: J Eng Manuf 230(10):1961–1968
Leng JW, Jiang PY, Zhang F, Cao W (2013) Framework and key enabling technologies for social manufacturing. Appl Mech Mater 2382(312):498–501
George R, Paul D, Jurgenson N (2012) The coming of age of the prosumer. Am Behav Sci 56(4):379–398
Zhou Y, Xiong G, Nyberg T (2016) Social manufacturing realizing personalization production: A state-of-the-art review. In: IEEE International Conference on Service Operations and Logistics, and Informatics, Beijing, China, 10–12 July 2016
Aaron W, Primavera DF (2015) Decentralized blockchain technology and the rise of lex cryptographia. Web Pages, available at SSRN: https://ssrn.com/abstract=2580664
Apte S, Petrovsky N (2016) Will blockchain technology revolutionize excipient supply chain management? J Excipients Food Chem 7(3):76–78
Azaria A, Ekblaw A, Vieira T, Lippman A (2016) MedRec: using blockchain for medical data access and permission management. In: The 2nd International Conference on Open and Big Data, Vienna, Austria, 22–24 August 2016
Yli-Huumo J, Ko D, Choi S, Park S, Smolander K (2016) Where is current research on blockchain technology?—a systematic review. PLoS ONE 11(10):e163477
Satoshi N (2008) Bitcoin: a peer-to-peer electronic cash system. Web pages, available at: http://www.academia.edu/download/32413652/BitCoin_P2P_electronic_cash_system.pdf
Andrychowicz M, Dziembowski S, Malinowski D, Mazurek L (2014) Secure multiparty computations on bitcoin. In: Security and privacy. IEEE, pp 443–458
Richard D, Gareth O (2015) Rep on the block: a next generation reputation system based on the blockchain. In: International Conference for Internet Technology and Secured Transactions, London, United Kingdom, 14–16 December 2015
Leng JW, Jiang PY (2016) A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm. Knowl-Based Syst 100:188–199
Leng JW, Jiang PY (2017) Mining and matching relationships from interaction contexts in a social manufacturing paradigm. IEEE Trans Syst Man Cybern: Syst 47(2):276–288
Leng JW, Jiang PY, Ding K (2014) Implementing of a three-phase integrated decision support model for parts machining outsourcing. Int J Prod Res 52(12):3614–3636
Leng JW, Jiang PY, Zheng M (2017) Outsourcer–supplier coordination for parts machining outsourcing under social manufacturing. Proc Inst Mech Eng, Part B: J Eng Manuf 231(6):1078–1090
Xu X, Du Z, Chen X (2015) Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions. Decis Support Syst 79:150–160
Huckle S, Bhattacharya R, White M, Beloff N (2016) Internet of things, blockchain and shared economy applications. Procedia Comput Sci 98:461–466
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Leng, J., Liu, J., Jiang, P. (2019). Blockchain Models for Cyber-Credits of Social Manufacturing. In: Social Manufacturing: Fundamentals and Applications. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-319-72986-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-72986-2_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72985-5
Online ISBN: 978-3-319-72986-2
eBook Packages: EngineeringEngineering (R0)