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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 22

Position Papers of the 2020 Federated Conference on Computer Science and Information Systems

Towards Trustworthy Horizontal Integration in Industry 4.0 Based on DLT Networks

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DOI: http://dx.doi.org/10.15439/2020F210

Citation: Position Papers of the 2020 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 22, pages 6369 ()

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Abstract. In recent years, Industry 4.0 has promoted the enhanced horizontal integration of value chain participants, aiming to improve the efficiency and effectiveness of Cross-Organizational Business Processes. In this paper, we discuss transparency and data privacy challenges that occur with the introduction of a high level of horizontal integration. Private, permissioned Distributed Ledger Technology systems and smart contracts can be used to address these challenges and enhance the integration of business processes across the entire value chain. To make this possible, we propose a creation of a Model-Driven Software Development approach based on a Domain-Specific Modeling Language that would enable automatic generation of smart contracts. Generated smart contracts could then be used by collaborating parties to supervise the state of production and contract fulfillment in a trustworthy and secure way.

References

  1. Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion.
  2. Monostori, L. (2014). Cyber-physical production systems: Roots, expectations and R&D challenges. Procedia Cirp, 17, 9-13, https://doi.org/10.1016/j.procir.2014.03.115
  3. Lippe, S., Greiner, U., & Barros, A. (2005). A survey on state of the art to facilitate modelling of cross-organisational business processes. XML4BPM, 1, 7-22.
  4. Flynn, B. B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of operations management, 28(1), 58-71, https://doi.org/10.1016/j.jom.2009.06.001
  5. Shafiq, S. I., Sanin, C., Szczerbicki, E., & Toro, C. (2016). Virtual engineering factory: Creating experience base for industry 4.0. Cybernetics and Systems, 47(1-2), 32-47, https://doi.org/10.1080/01969722.2016.1128762
  6. Critical Manufacturing, and IYNO. (2017) “The New MES: Backbone of Industry 4.0.”
  7. Schmitt, G. R. A., Bettinger, C., & Rock, G. (2018). Glencoe–A Tool for Specification, Visualization and Formal Analysis of Product Lines. Transdisciplinary Engineering Methods for Social Innovation of Industry, 4, 665-673.
  8. Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of industrial information integration, 6, 1-10, https://doi.org/10.1016/j.jii.2017.04.005
  9. Fernández-Caramés, T. M., & Fraga-Lamas, P. (2019). A review on the application of blockchain to the next generation of cybersecure industry 4.0 smart factories. IEEE Access, 7, 45201-45218, https://doi.org/10.1109/ACCESS.2019.2908780
  10. Hileman, G., & Rauchs, M. (2017). 2017 global blockchain benchmarking study. Available at SSRN 3040224.
  11. France, R., & Rumpe, B. (2007, May). Model-driven development of complex software: A research roadmap. In Future of Software Engineering (FOSE’07) (pp. 37-54). IEEE, https://doi.org/10.1109/FOSE.2007.14
  12. Vještica, M., Dimitrieski, V., Pisarić, M., Kordić, S., Ristić, S., & Luković, I. (2019, Nov) Towards a formal description and automatic execution of production processes. In Proceedings of 2019 IEEE 15th International Scientific Conference on Informatics, Poprad, Slovakia (pp. 463–468), https://doi.org/10.1109/Informatics47936.2019.9119314
  13. Ferreira, F., Faria, J., Azevedo, A., & Marques, A. L. (2016, October). Industry 4.0 as enabler for effective manufacturing virtual enterprises. In Working Conference on Virtual Enterprises (pp. 274-285). Springer, Cham, https://doi.org/10.1007/978-3-319-45390-3_24
  14. Chen, D., Doumeingts, G., & Vernadat, F. (2008). Architectures for enterprise integration and interoperability: Past, present and future. Computers in industry, 59(7), 647-659, https://doi.org/10.1016/j.compind.2007.12.016
  15. Berre, A. J., Elvesæter, B., Figay, N., Guglielmina, C., Johnsen, S. G., Karlsen, D., ... & Lippe, S. (2007). The ATHENA interoperability framework. In Enterprise interoperability II (pp. 569-580). Springer, London, , http://dx.doi.org/10.1007/978-1-84628-858-6_62
  16. Ruggaber, R. (2006). Athena-Advanced technologies for Interoperability of heterogeneous enterprise networks and their applications. Interoperability of enterprise software and applications, 1, 459-60, https://doi.org/10.1007/1-84628-152-0_45
  17. Da Xu, L. (2011). Enterprise systems: state-of-the-art and future trends. IEEE Transactions on Industrial Informatics, 7(4), 630-640, http://dx.doi.org/10.1109/TII.2011.2167156
  18. Petrasch, R., & Hentschke, R. (2016, July). Process modeling for Industry 4.0 applications: Towards an Industry 4.0 process modeling language and method. In 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 1-5). IEEE, https://doi.org/10.1109/JCSSE.2016.7748885
  19. Shah, R., & Ward, P. T. (2003). Lean manufacturing: context, practice bundles, and performance. Journal of operations management, 21(2), 129-149, https://doi.org/10.1016/S0272-6963(02)00108-0
  20. Vještica, M., Dimitrieski, V., Pisarić, M., Kordić, S., Ristić, S., & Luković, I. (2020) An Application of a DSML in Industry 4.0 Production Processes. In IFIP Advances in Information and Communication Technology, Novi Sad, Serbia, pp. 441-448, https://doi.org/10.1007/978-3-030-57993-7_50
  21. Schulz, K. A., & Orlowska, M. E. (2004). Facilitating cross-organisational workflows with a workflow view approach. Data & Knowledge Engineering, 51(1), 109-147, https://doi.org/10.1016/j.datak.2004.03.008
  22. Liu, D. R., & Shen, M. (2001, April). Modeling workflows with a process-view approach. In Proceedings Seventh International Conference on Database Systems for Advanced Applications. DASFAA 2001 (pp. 260-267). IEEE.
  23. Chen, D., & Doumeingts, G. (2003). European initiatives to develop interoperability of enterprise applications—basic concepts, framework and roadmap. Annual reviews in control, 27(2), 153-162, https://doi.org/10.1016/j.arcontrol.2003.09.001
  24. Wüst, K., & Gervais, A. (2018, June). Do you need a blockchain?. In 2018 Crypto Valley Conference on Blockchain Technology (CVCBT) (pp. 45-54). IEEE.
  25. IBM. (2020) Hyperledger Fabric Documentation. https://hyperledgerfabric.readthedocs.io/en/release-1.4/ Accessed April 14, 2020.
  26. Weber, I., Xu, X., Riveret, R., Governatori, G., Ponomarev, A., & Mendling, J. (2016, September). Untrusted business process monitoring and execution using blockchain. In International Conference on Business Process Management (pp. 329-347). Springer, Cham.
  27. Klinger, P., & Bodendorf, F. (2020). Blockchain-based Cross-Organizational Execution Framework for Dynamic Integration of Process Collaborations. In 15th International Business Informatics Congress, https://doi.org/10.30844/wi_2020_i2-klinger
  28. GitHub. Ethereum White Paper: A Next-Generation Smart Contract and Decentralized Application Platform. https://github.com/ethereum/wiki. Accessed January 25, 2020.
  29. Stamatis, D. H. (2018) Advanced Product Quality Planning: The Road to Success.
  30. Dimitrieski, V. (2017) Model-Driven Technical Space Integration Based on a Mapping Approach. Ph.D. Thesis, University of Novi Sad, Faculty of Technical Sciences, Serbia.
  31. Mernik, M., Heering, J., & Sloane, A. M. (2005) When and how to develop domain-specific languages. ACM Comput. Surv., vol. 37, no. 4, pp. 316–344, http://dx.doi.org/10.1145/1118890.1118892.