Abstract
This paper proposes a conceptual implementation model for small and medium enterprises (SMEs) to follow as part of their digitalization implementation. It can later be translated into a practical step by step guide for SMEs to practice during their digital transformation. The model is based on gradually developing industrial capabilities that can influence production processes performance. The model development was based on a critical literature review and a real case industry application. The case data served as direct feedback to the model to assess both the model validity and the actual SMEs needs. The capabilities included in the model are proved to directly influence the performance positively. In comparison with existing models and frameworks, this model envisions the company a full digital shift by proposing an achievable sequence which SMEs in a resource-efficient way could start deploying in compliance with their business needs. SMEs can utilize the capabilities as a foundation for a system that supports continuous improvement in the whole factory.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, S., Wan, J., Li, D., Zhang, C.: Implementing smart factory of industrie 4.0: an outlook. Int. J. Distrib. Sens. Netw. (2016) https://doi.org/10.1155/2016/3159805
Mukhopadhyay, A., Murthy, L.R.D., Arora, M., Chakrabarti, A., Mukherjee, I., Biswas, P.: PCB inspection in the context of smart manufacturing. In: Chakrabarti, A. (ed.) Research into Design for a Connected World. SIST, vol. 134, pp. 655–663. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-5974-3_57
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., Barbaray, R.: The industrial management of SMEs in the era of industry 4.0. Int. J. Prod. Res. 56(3), 1118–1136 (2018). https://doi.org/10.1080/00207543.2017.1372647
Mittal, S., Romero, D., Wuest, T.: Towards a smart manufacturing maturity model for SMEs (SM3E). In: Moon, I., Lee, G.M., Park, J., Kiritsis, D., von Cieminski, G. (eds.) APMS 2018. IAICT, vol. 536, pp. 155–163. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99707-0_20
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6(4), 239–242 (2014). https://doi.org/10.1007/s12599-014-0334-4
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.2014.12.001
Lee, J., Bagheri, B., Jin, C.: Introduction to cyber manufacturing. Manuf. Lett. 8, 11–15 (2016). https://doi.org/10.1016/j.mfglet.2016.05.002
Baheti, R., Gill, H.: Cyber-physical systems. Impact Control Technol. 12(1), 161–166 (2011)
Gomes, R.L., Rigley, M., Bacon, D., Watson, N., Porcu, L., Fisher, O.: Cloud manufacturing as a sustainable process manufacturing route. J. Manuf. Syst. 47, 53–68 (2018). https://doi.org/10.1016/j.jmsy.2018.03.005
Ud Din, F., Henskens, F., Paul, D., Wallis, M.: Agent-Oriented Smart Factory (AOSF): an MAS based framework for SMEs under industry 4.0. In: Jezic, G., Chen-Burger, Y.-H.J., Howlett, R.J., Jain, L.C., Vlacic, L., Šperka, R. (eds.) KES-AMSTA-18 2018. SIST, vol. 96, pp. 44–54. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-92031-3_5
Veres, P., Illés, B., Landschützer, C.: Supply chain optimization in automotive industry: a comparative analysis of evolutionary and swarming heuristics. In: Jármai, K., Bolló, B. (eds.) VAE 2018. LNME, pp. 666–676. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75677-6_57
Wieland, M., et al.: Towards a rule-based manufacturing integration assistant. Procedia CIRP 57, 213–218 (2016). https://doi.org/10.1016/j.procir.2016.11.037
Dallasega, P., Rojas, R.A., Rauch, E., Matt, D.T.: Simulation based validation of supply chain effects through ICT enabled real-time-capability in ETO production planning. Procedia Manuf. 11(June), 846–853 (2017). https://doi.org/10.1016/j.promfg.2017.07.187
Bi, Z., et al.: Real-time force monitoring of smart grippers for Internet of Things (IoT) applications. J. Ind. Inf. Integr. 11(February), 19–28 (2018). https://doi.org/10.1016/j.jii.2018.02.004
Wang, Z., Shou, M., Wang, S., Dai, R., Wang, K.: An empirical study on the key factors of intelligent upgrade of small and medium-sized enterprises in China. Sustainability 11(3) (2019). https://doi.org/10.3390/su11030619
Martínez-Olvera, C., Mora-Vargas, J.: A max-plus algebra approach to study time disturbance propagation within a robustness improvement context. Math. Probl. Eng., 1–18 (2018). https://doi.org/10.1155/2018/1932361
Spiegler, V.L.M., Naim, M.M., Wikner, J.: A control engineering approach to the assessment of supply chain resilience. Int. J. Prod. Res. 50(21), 6162–6187 (2012). https://doi.org/10.1080/00207543.2012.710764
Porter, M.E., Heppelmann, J.E.: How smart, connected products are transforming competition. Harv. Bus. Rev. 92, 64–88 (2014)
Mittal, S., Khan, M.A., Romero, D., Wuest, T.: Smart manufacturing: characteristics, technologies and enabling factors. 233(5), 1342–1361 (2019). https://doi.org/10.1177/0954405417736547
Tao, F., Qi, Q., Liu, A., Kusiak, A.: Data-driven smart manufacturing. J. Manuf. Syst. 48, 157–169 (2018). https://doi.org/10.1016/j.jmsy.2018.01.006
Stoldt, J., Trapp, T.U., Toussaint, S., Süße, M., Schlegel, A., Putz, M.: Planning for digitalisation in SMEs using tools of the digital factory. Procedia CIRP 72, 179–184 (2018). https://doi.org/10.1016/j.procir.2018.03.100
Kristianto, Y., Gunasekaran, A., Helo, P.: Building the ‘Triple R’ in global manufacturing. Int. J. Prod. Econ. 183(December), 607–619 (2017). https://doi.org/10.1016/j.ijpe.2015.12.011
Boorla, M.S., Eifler, T., McMahon, C., Howard, T.J.: Product robustness philosophy – A strategy towards zero variation manufacturing (ZVM). Manag. Prod. Eng. Rev. 9(2), 3–12 (2018). https://doi.org/10.24425/119520
Morisse, M., Prigge, C.: Design of a Business Resilience Model for Industry 4.0 manufacturers. In: Twenty-third Americas Conference on Information Systems, pp. 1–10 (2017)
Acknowledgements
This work is part of the project ASPIRE “Automation solutions for production deviation management”, funded by Sweden’s Government Agency for Innovation VINNOVA (Programme Produktion 2030). The authors thankfully acknowledge the funding agency, the good collaboration and support from the case company and the feedback from Alvis Sokolovs which helped to improve the manuscript.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 IFIP International Federation for Information Processing
About this paper
Cite this paper
Chavez, Z., Baalsrud Hauge, J., Bellgran, M. (2020). A Conceptual Model for Deploying Digitalization in SMEs Through Capability Building. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-030-57997-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-57997-5_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57996-8
Online ISBN: 978-3-030-57997-5
eBook Packages: Computer ScienceComputer Science (R0)