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2020 | OriginalPaper | Buchkapitel

Improving Collaboration in Industry 4.0: The Usage of Blockchain for Knowledge Representation

verfasst von : Pedro Pinheiro, Ricardo Santos, Ricardo Barbosa

Erschienen in: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection

Verlag: Springer International Publishing

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Abstract

With the introduction of Industry 4.0 in many industrial environments, many changes are going to take place in the manufacturing processes. Blockchain can help the collaboration between organisations, by improving and leading the way for a decentralised future, where transactions can happen much faster while ensuring that a more knowledgeable and demanding consumer has its expectations fulfilled. In this work we propose a model that uses blockchain and multi-agent systems to help represent an organisation in a network of entities, as well to create a system that is capable of handling entity transactions and provide a way of improving decision-making by enabling decisions to be done faster in a rapidly changing environment.

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Abeyratne, S.A., Monfared, R.P.: Blockchain ready manufacturing supply chain using distributed ledger. Int. J. Res. Eng. Technol. 05(09), 1–10 (2016). https://doi.org/10.15623/ijret.2016.0509001. http://esatjournals.net/ijret/2016v05/i09/IJRET20160509001.pdfCrossRef

Adeyeri, M.K., Mpofu, K., Adenuga, O.T.: Integration of agent technology into manufacturing enterprise: a review and platform for industry 4.0. In: 2015 International Conference on Industrial Engineering and Operations Management (IEOM). IEEE, March 2015. https://doi.org/10.1109/ieom.2015.7093910

Ameri, F., McArthur, C.: A multi-agent system for autonomous supply chain configuration. Int. J. Adv. Manuf. Technol. 66(5–8), 1097–1112 (2012). https://doi.org/10.1007/s00170-012-4392-9CrossRef

Androulaki, E., et al.: Hyperledger fabric: a distributed operating system for permissioned blockchains. In: Proceedings of the Thirteenth EuroSys Conference on - EuroSys 2018. ACM Press (2018). https://doi.org/10.1145/3190508.3190538

Azadnia, A.H., Saman, M.Z.M., Wong, K.Y.: Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process. Int. J. Prod. Res. 53(2), 383–408 (2015). https://doi.org/10.1080/00207543.2014.935827CrossRef

Bahga, A., Madisetti, V.K.: Blockchain platform for industrial internet of things. J. Softw. Eng. Appl. 09(10), 533–546 (2016). https://doi.org/10.4236/jsea.2016.910036. http://www.scirp.org/journal/jseaCrossRef

Blanchet, M., Rinn, T., Von Thaden, G., De Thieulloy, G.: Industry 4.0: the new industrial revolution-how Europe will succeed. Hg. v. Roland Berger Strategy Consultants GmbH. München. Abgerufen am 11.05. 2014 (2014). http://www.rolandberger.com/media/pdf/Roland_Berger_TAB_Industry_4_0_20140403.pdf

Buchanan, B., Naqvi, N.: Building the future of EU: moving forward with international collaboration on blockchain. JBBA 1(1), 1–4 (2018)CrossRef

Cachin, C., Schubert, S., Vukolić, M.: Architecture of the hyperledger blockchain fabric *. Technical report (2016), www.hyperledger.org

10.

Calvaresi, D., Dubovitskaya, A., Calbimonte, J.P., Taveter, K., Schumacher, M.: Multi-Agent systems and blockchain: results from a systematic literature review. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds.) PAAMS 2018. LNCS (LNAI), vol. 10978, pp. 110–126. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94580-4_9CrossRef

11.

Casado-Vara, R., Prieto, J., la Prieta, F.D., Corchado, J.M.: How blockchain improves the supply chain: case study alimentary supply chain. Procedia Comput. Sci. 134, 393–398 (2018). https://doi.org/10.1016/j.procs.2018.07.193. https://linkinghub.elsevier.com/retrieve/pii/S187705091831158XCrossRef

12.

Eddy, Y.F., Gooi, H.B., Chen, S.X.: Multi-agent system for distributed management of microgrids. IEEE Trans. Power Syst. 30(1), 24–34 (2014)CrossRef

13.

Fiala, P.: Information sharing in supply chains. Omega 33(5), 419–423 (2005). https://doi.org/10.1016/j.omega.2004.07.006CrossRef

14.

Ghadimi, P., Ghassemi Toosi, F., Heavey, C.: A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain. Eur. J. Oper. Res. 269(1), 286–301 (2018). https://doi.org/10.1016/j.ejor.2017.07.014. https://linkinghub.elsevier.com/retrieve/pii/S0377221717306410MathSciNetCrossRefMATH

15.

Glavic, M.: Agents and multi-agent systems: a short introduction for power engineers, pp. 1–21 (2006)

16.

Kang, H.S., et al.: Smart manufacturing: past research, present findings, and future directions. Int. J. Precis. Eng. Manuf.-Green Technol. 3(1), 111–128 (2016). https://doi.org/10.1007/s40684-016-0015-5CrossRef

17.

Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015). https://doi.org/10.1016/j.mfglet.2014.12.001CrossRef

18.

Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia CIRP 16, 3–8 (2014). https://doi.org/10.1016/j.procir.2014.02.001. http://www.sciencedirect.com/science/article/pii/S2212827114000857CrossRef

19.

Lin, I.C., Liao, T.C.: A survey of blockchain security issues and challenges. Int. J. Netw. Secur. 19(5), 653–659 (2017). https://doi.org/10.6633/IJNS.201709.19(5).01. https://pdfs.semanticscholar.org/f61e/db500c023c4c4ef665bd7ed2423170773340.pdfCrossRef

20.

Marreiros, G., Santos, R., Ramos, C., Neves, J.: Context-aware emotion-based model for group decision making. IEEE Intell. Syst. Mag. 25(2), 31–39 (2010)CrossRef

21.

Marreiros, G., Santos, R., Ramos, C., Neves, J., Bulas-Cruz, J.: ABS4GD: a multi-agent system that simulates group decision processes considering emotional and argumentative aspects. In: AAAI Spring Symposium Series, pp. 88–95 (2008)

22.

Mettler, T., Rohner, P.: Supplier relationship management: a case study in the context of health care. J. Theoret. Appl. Electron. Commer. Res. 4(3), 58–71 (2009). https://doi.org/10.4067/S0718-18762009000300006CrossRef

23.

Nikraz, M., Caire, G., Bahri, P.A.: A methodology for the analysis and design of multi-agent systems using JADE. Technical report (2006)

24.

Oprea, M.: Applications of multi-agent systems. In: Reis, R. (ed.) Information Technology. IIFIP, vol. 157, pp. 239–270. Springer, Boston, MA (2004). https://doi.org/10.1007/1-4020-8159-6_9CrossRef

25.

Pinheiro, P., Macedo, M., Barbosa, R., Santos, R., Novais, P.: Multi-agent systems approach to industry 4.0: enabling collaboration considering a blockchain for knowledge representation. In: Bajo, J., et al. (eds.) PAAMS 2018. CCIS, vol. 887, pp. 149–160. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94779-2_14CrossRef

26.

Pinheiro, P., Santos, R., Barbosa, R.: Industry 4.0 multi-agent system based knowledge representation through blockchain. In: Novais, P., et al. (eds.) ISAmI2018 2018. AISC, vol. 806, pp. 331–337. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-01746-0_39CrossRef

27.

Qin, J., Liu, Y., Grosvenor, R.: A categorical framework of manufacturing for industry and beyond. Procedia CIRP 52, 173–178 (2016). https://doi.org/10.1016/j.procir.2016.08.005. http://www.sciencedirect.com/science/article/pii/S221282711630854X?via%3DihubCrossRef

28.

Rabah, K.: Overview of blockchain as the engine of the 4th industrial revolution. Mara Res. J. Bus. Manag. 1(1), 125–135 (2016). The Africa Premier Research Publishing Hub www.mrjournals.org Mara Research Journals MR Journal of Business & Management

29.

Schuh, G., Potente, T., Wesch-Potente, C., Weber, A.R., Prote, J.P.: Collaboration mechanisms to increase productivity in the context of industrie 4.0. Procedia CIRP 19, 51–56 (2014). https://doi.org/10.1016/j.procir.2014.05.016. https://linkinghub.elsevier.com/retrieve/pii/S2212827114006453CrossRef

30.

Sukhwani, H., Wang, N., Trivedi, K.S., Rindos, A.: Performance modeling of hyperledger fabric (permissioned blockchain network). In: 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA), pp. 1–8. IEEE, November 2018. https://doi.org/10.1109/nca.2018.8548070

31.

Wang, S., Wan, J., Li, D., Zhang, C.: Implementing smart factory of industrie 4.0: an outlook. Int. J. Distrib. Sens. Netw. 12(1), 3159805 (2016). https://doi.org/10.1155/2016/3159805CrossRef

32.

Wright, A., Filippi, P.D.: Decentralized blockchain technology and the rise of lex cryptographia. SSRN Electron. J. (2015). https://doi.org/10.2139/ssrn.2580664, http://www.ssrn.com/abstract=2580664

33.

Wust, K., Gervais, A.: Do you need a blockchain? In: 2018 Crypto Valley Conference on Blockchain Technology (CVCBT), pp. 45–54. no. i. IEEE, June 2018. https://doi.org/10.1109/cvcbt.2018.00011, https://ieeexplore.ieee.org/document/8525392/

34.

Zhang, F., Liu, M., Shen, W.: Operation modes of smart factory for high-end equipment manufacturing in the internet and big data era. In: Smc 2017.Org (2017). http://www.smc2017.org/SMC2017_Papers/media/files/0642.pdf

35.

Zhao, J.Y., Wang, Y.J., Xi, X.: Simulation of steel production logistics system based on multi-agents. Int. J. Simul. Model. 16(1), 167–175 (2017). https://doi.org/10.2507/ijsimm16(1)co4, http://www.ijsimm.com/Full_Papers/Fulltext2017/text16-1_167-175.pdf

36.

Zheng, Z., Xie, S., Dai, H., Chen, X., Wang, H.: An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE International Congress on Big Data (BigData Congress), pp. 557–564. IEEE, June 2017. https://doi.org/10.1109/bigdatacongress.2017.85, http://ieeexplore.ieee.org/document/8029379/

Titel: Improving Collaboration in Industry 4.0: The Usage of Blockchain for Knowledge Representation
verfasst von: Pedro Pinheiro
Ricardo Santos
Ricardo Barbosa
Verlag: Springer International Publishing
Buch: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection
Print ISBN: 978-3-030-51998-8

Electronic ISBN: 978-3-030-51999-5

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-51999-5_19

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