Abstract
The dynamics of the market, changes in the implementation of products in a short time, often customized products, require many analyses and actions in a short time. The problem that arises in this type of aspect is what should be done and how. One of the possibilities is the use of selected Industry 4.0 technologies to perform relevant analyses. It is also important because of the need to constantly change, to become more competitive in the market, but also to look at opportunities for improvement without stopping the implementation of production processes. Therefore, the article also focuses on the applicability of one of the technologies, namely simulation and the type of results obtained from the analyses performed. An algorithm for creating simulations that supports the implementation of this technology is also described.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bozarth, C.C., Warsing, D.P., Flynn, B.B., Flynn, E.J.: The impact of supply chain complexity on manufacturing plant performance. J. Oper. Manag. 27, 80–82 (2009)
Buer, S.V., Strandhagen, J.O., Chan, F.T.S.: The link between industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. Int. J. Prod. Res. 56(8), 2924–2940 (2018)
Corallo, A., Lazoi, M., Lezzi, M.: Cybersecurity in the context of industry 4.0: a structured classification of critical assets and business impacts. Comput. Ind. 114, 103165 (2020)
Ghadge, A., Er Kara, M., Moradlou, H., Goswami, M.: The impact of Industry 4.0 implementation on supply chains. J. Manuf. Technol. Manage. 31(4), 669–686 (2020)
Hopkins, J.L.: An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia. Comput. Ind. 125, 103323 (2021)
Jurczyk-Bunkowska, M.: Tactical manufacturing capacity planning based on discrete event simulation and throughput accounting: a case study of medium sized production enterprise. Adv. Prod. Eng. Manage. 16(3), 335–347 (2021)
Lachvajderová, L., Kádárová, J.: Industry 4.0 implementation and industry 5.0 readiness in industrial enterprises. Manage. Prod. Eng. Rev. 13(3), 102–109 (2022)
Lasi, H., Fettke, P., Kemper, H.G., Feld, T., Homann, M.: Industry 4.0. Bus. Inform. Syst. Eng. 6, 239–242 (2014)
Lewandowska-Ciszek, A.: Identifying the phenomenon of complexity in the sector of industrial automation. Manage. Prod. Eng. Rev. 13(2), 3–14 (2022)
Mayr, A., et al.: Lean 4.0 - a conceptual conjunction of lean management and industry 4.0. In: 51st CIRP Conference on Manufacturing Systems, pp. 622–628. Procedia CIRP (2018)
Olender-Skóra, M., Banaś, W., Gwiazda, A.: Possibilities of industrial utilization of FFF/FDM process for chosen element printing. Int. J. Mod. Manuf. Technol. 9(2), 1–6 (2017)
Olender-Skóra, M., Banaś, W.: Application of a digital twin for manufacturing process simulation. In: 15th Global Congress on Manufacturing and Management (GCMM-2020), pp. 1–6, Elsevier Ltd (2019)
Pacholski, L.: Managerial recommendations concerning the cybersecurity of information and knowledge resources in production enterprises implementing the industry 4.0 concept. Manage. Prod. Eng. Rev. 13(3), 30–38 (2022)
Rojek, I., Mikołajewski, D., Kotlarz, P., Macko, M., Kopowski, J.: Intelligent system supporting technological process planning for machining and 3D printing. Bull. Polish Acad. Sci. Tech. Sci. 69(2), 1–8 (2021)
Hryniewicz, P., Banas, W., Foit, K., et al.: Modelling cooperation of industrial robots as multi-agent systems. IOP Conf. Ser. Mater. Sci. Eng. 227, 1–7 (2017)
Krenczyk, D., Skołud, B., Olender, M.: The production route selection algorithm in virtual manufacturing networks. IOP Conf. Ser. Mater. Sci. Eng. 227, 1–9 (2017)
Tonelli, F., Demartini, M., Pacella, M., Lala, R.: Cyber-physical systems (CPS) in supply chain management: from foundations to practical implementation. In: Procedia CIRP, pp. 598–603 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Olender-Skóra, M., Gwiazda, A. (2023). Possibilities of Decision Support in Organizing Production Processes. In: García Bringas, P., et al. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). SOCO 2023. Lecture Notes in Networks and Systems, vol 750. Springer, Cham. https://doi.org/10.1007/978-3-031-42536-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-031-42536-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-42535-6
Online ISBN: 978-3-031-42536-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)