Abstract
The available and future solutions for the digital transformation and use of exponential technologies indicate revolutionary changes in the whole supply chain of manufacturing and service processes. The vertical networking of smart manufacturing systems and the horizontal integration of value-making chains led to a new supply paradigm based on hyperconnected global logistics systems. The goal of the paper is to identify challenges of just-in-sequence supply in the automotive industry from the aspect of Industry 4.0 solutions. The authors introduce readers in both the Industry 4.0 paradigm as well as the just-in-sequence supply. Defining the conception of cyber physical logistics systems (CPLS) authors describe the I4.0 solutions based relations between just-in-sequence supply and Reference Architecture Model Industry 4.0 (RAMI 4.0). The main goal is to define challenges and impacts of Industry 4.0 paradigm on just-in-sequence supply.
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References
Cisneros-Cabrera, S., Ramzan, A., Sampaio, P., Mehandjiev, N.: Digital marketplaces for industry 4.0: a survey and gap analysis. In: IFIP Advances in Information and Communication Technology, vol. 506, pp. 18–27 (2017)
Gleissner, H., Femerling, J.C.: Logistics. Springer, Switzerland (2013)
Klumpp, M.: Logistics qualification: best-practice for a knowledge-intensive service industry. In: Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice, pp. 391–411 (2015)
Barreto, L., Amaral, A., Pereira, T.: Industry 4.0 implications in logistics: an overview. Procedia Manuf. 13, 1245–1252 (2017)
Jayaram, A.: Lean six sigma approach for global supply chain management using industry 4.0 and IIoT. In: Proceedings of the 2nd International Conference on Contemporary Computing and Informatics, pp. 89–94 (2016)
Prause, G.: Sustainable business models and structures for industry 4.0. J. Secur. Sustain. Issues 5(2), 159–169 (2015)
Rakyta, M., Fusko, M., Herčko, J., Závodská, L., Zrnić, N.: Proactive approach to smart maintenance and logistics as a auxiliary and service processes in a company. J. Appl. Eng. Sci. 14(4), 433–442 (2016)
Yu, H., Solvang, W.D.: Enhancing the competitiveness of manufacturers through small-scale intelligent manufacturing system (SIMS): a supply chain perspective 2017. In: Proceedings of the 6th International Conference on Industrial Technology and Management, pp. 101–107 (2017)
Innerbichler, J., Gonul, S., Damjanovic-Behrendt, V., Mandler, B., Strohmeier, F.: NIMBLE collaborative platform: microservice architectural approach to federated IoT. In: Proceedings of Global Internet of Things Summit (2017). 8016216
Neubauer, M., Krenn, F.: Subject-oriented design of smart hyper-connected logistics systems. In: ACM International Conference Proceeding Series (2017). F127185, a5
Maslarić, M., Nikoličić, S., Mirčetić, D.: Logistics response to the industry 4.0: the physical internet. Open Eng. 6(1), 511–517 (2017)
Majeed, M.A.A., Rupasinghe, T.D.: Internet of Things (IoT) embedded future supply chains for industry 4.0: an assessment from an ERP-based fashion apparel and footwear industry. Int. J. Supply Chain Manag. 6(1), 25–40 (2017)
Röschinger, M., Kipouridis, O., Günthner, W.A.: A service-oriented cloud application for a collaborative tool management system. In: Proceedings of the 3rd International Conference on Industrial Engineering, Management Science and Applications (2016). 7503987
Molnar, V., Faludi, T.: A supply chain coordination model with fair revenue-sharing rates, transformation of international economic relations: modern challenges, risks, opportunities and prospects, pp. 119–129. ISMA University, Riga (2017)
Wildemann, H., Faust, P.: Just-in-sequence audits towards partnership-based optimization of processes in the automotive industry [PartnerschaftlicheProzessoptimierung: Just-in-Sequence-Audits in der Automobilindustrie]. ZWF ZeitschriftfuerWirtschaftlichenFabrikbetrieb 99(4), 157–161 (2004)
Wagner, S.M., Silveira-Camargos, V.: Decision model for the application of just-in-sequence. Int. J. Prod. Res. 49(19), 5713–5736 (2011)
Rabe, M.: Simulation of supply chains. Int. J. Automot. Technol. Manag. 3(3–4), 368–382 (2003)
Cedillo-Campos, M.G., Ruelas, D.M., Lizarraga-Lizarraga, G., Gonzalez-Feliu, J., Garza-Reyes, J.A.: Decision policy scenarios for just-in-sequence deliveries. J. Ind. Eng. Manag. 10(4), 581–603 (2017)
Čujan, Z., Fedorko, G.: Supplying of assembly lines using train of trucks. Open Eng. 6(1), 426–431 (2016)
Boysen, N., Emde, S.: Scheduling the part supply of mixed-model assembly lines in line-integrated supermarkets. Eur. J. Oper. Res. 239(3), 820–829 (2014)
Borucki, J., Pawlewski, P., Chowanski, W.: Mixing ABS and DES approach to modeling of a delivery process in the automotive industry. Communications in Computer and Information Science, vol. 430, pp. 133–143 (2014)
Wagner, S.M., Silveira-Camargos, V.: Managing risks in just-in-sequence supply networks: exploratory evidence from automakers. IEEE Trans. Eng. Manag. 59(1), 52–64 (2012)
Hillis, D.: The thinking trucks [Goods distribution]. Manuf. Eng. 86(1), 32–35 (2007)
Chen, R.-S., Tu, M.A.: Development of an agent-based system for manufacturing control and coordination with ontology and RFID technology. Expert Syst. Appl. 36(4), 7581–7593 (2009)
Kota, L., Jármai, K.: Mathematical modeling of multiple tour multiple traveling salesman problem using evolutionary programming. Appl. Math. Modell. 39(12), 3410–3433 (2015)
Bányai, T.: Supply chain optimization of outsourced blending technologies. J. Appl. Econ. Sci. 12(4), 960–976 (2017)
Bányai, Á., Bányai, T., Illés, B.: Optimization of consignment-store-based supply chain with black hole algorithm. In: Complexity 2017 (2017). 6038973
Kulcsár, M., Kulcsár, Gy.: Modeling and solving an extended parallel resource scheduling problem in the automotive industry. Acta Polytech. Hung. 14(4), 27–46 (2017)
Bányai, Á., Illés, B., Schenk, F.: Supply chain design of manufacturing processes with blending technologies. Solid State Phenom. 261, 509–515 (2017)
Fleischmann, H., Kohl, J., Franke, J.: A reference architecture for the development of socio-cyber-physical condition monitoring systems. In: Proceedings of the 11th Systems of Systems Engineering Conference (2016). 7542963
Ma, Z., Hudic, A., Shaaban, A., Plosz, S.: Security viewpoint in a reference architecture model for cyber-physical production systems. In: Proceedings of the 2nd IEEE European Symposium on Security and Privacy Workshops, pp. 153–159 (2017)
Iordache, O.: Industrial systems. Stud. Syst. Decis. Control 92, 139–157 (2017)
Kannan, S.M., Suri, K., Cadavid, J., Barosan, I., Brand, M.V.D., Alferez, M., Gerard, S.: Towards industry 4.0: gap analysis between current automotive MES and industry standards using model-based requirement engineering. In: Proceedings of the 2017 IEEE International Conference on Software Architecture Workshops, pp. 29–35 (2017)
Contreras, J.D., Garcia, J.I., Pastrana, J.D.: Developing of industry 4.0 applications. Int. J. Online Eng. 13(10), 30–47 (2017)
Wang, Y., Anokhin, O., Anderl, R.: Concept and use case driven approach for mapping IT security requirements on system assets and processes in Industrie 4.0. Procedia CIRP 63, 207–212 (2017)
Flatt, H., Schriegel, S., Jasperneite, J., Trsek, H., Adamczyk, H.: Analysis of the cyber-security of industry 4.0 technologies based on RAMI 4.0 and identification of requirements. In: IEEE International Conference on Emerging Technologies and Factory Automation (2016). 7733634
Grangel-Gonzalez, I., Halilaj, L., Auer, S., Lohmann, S., Lange, C., Collarana, D.: An RDF-based approach for implementing industry 4.0 components with administration shells. In: IEEE International Conference on Emerging Technologies and Factory Automation (2016). 7733503
Mason, R., Lalwani, C., Boughton, R.: Combining vertical and horizontal collaboration for transport optimisation. Supply Chain Manag. 12(3), 187–199 (2007)
Acknowledgements
This project has received funding from the EFOP-3.6.1-16-00011 “Younger and Renewing University – Innovative Knowledge City – institutional development of the University of Miskolc aiming at intelligent specialization” project implemented in the framework of the Szechenyi 2020 program and the European Union’s Horizon 2020 research and innovation programme under grant agreement No 691942. This research was partially carried out in the framework of the Center of Excellence of Mechatronics and Logistics at the University of Miskolc.
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Juhász, J., Bányai, T. (2018). What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry?. In: Jármai, K., Bolló, B. (eds) Vehicle and Automotive Engineering 2. VAE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-75677-6_19
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