Abstract
Digitization of manufacturing processes is the need for hours for industries. Indian manufacturing industries are currently changing from mass to customized production. The rapid advancements in applications of technologies help in increasing the productivity of processes. The term Industry 4.0 stands for the fourth industrial revolution, which includes the blend of technologies such as big data analytics, simulation, augmented reality, cloud computing, internet of things, cyber-physical systems, system integration, autonomous robots, additive manufacturing. The objective of this paper is to discuss the implementation of Industry 4.0 practices in Indian organizations and their outcomes after successful implementation. The authors have used the situation actor process and learning action performance technique (SAP-LAP) for the case study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Belhadi, A., Zkik, K., Cherrafi, A.,Yusof, M.: Understanding the capabilities of big data analytics for manufacturing process: insights from literature review and multiple case study. Comput. Indust. Eng. 106099 (2019)
Ceruti, A., Marzocca, P., Liverani, A., Bil, C.: Maintenance in aeronautics in an Industry 4.0 context: the role of augmented reality and additive manufacturing. J. Comput. Des. Eng. 6(4), 516–526 (2019)
Cobo, M.J., Jürgens, B., Herrero-Solana, V., MartÃnez, M.A., Herrera-Viedma, E.: Industry 4.0: a perspective based on bibliometric analysis. Procedia Comput. Sci. 139, 364–371 (2018)
Dilberoglu, U.M., Gharehpapagh, B., Yaman, U., Dolen, M.: The role of additive manufacturing in the era of industry 4.0. Procedia Manuf. 11, 545–554 (2017)
Dutta, G., Kumar, R., Sindhwani, R., Singh, R.: Digital transformation priorities of India’s discrete manufacturing SMEs—a conceptual study in perspective of Industry 4.0. Compet. Rev. Int. Bus. J. (Forthcoming) (2020). https://doi.org/10.1108/CR-03-2019-0031
Kumar, R.: Sustainable supply chain management in the era of digitalization: issues and challenges. In: Idemudia, E.C. (ed.) Handbook of Research on Social and Organizational Dynamics in the Digital Era. IGI Global, pp. 446–460. Web. 1 Aug. 2019. Arkansas Tech University, USA (2020). https://doi.org/10.4018/978-1-5225-8933-4.ch021. Publisher & ISSN/ISBN No. 290319-062455
Kumar, R.: Espousal of Industry 4.0 in Indian manufacturing organizations: analysis of enablers. In: Gaur, L., et al. (eds.) Handbook of Research on Engineering Innovations and Technology Management in Organizations. IGI Global (2020). ISBN13: 9781799827726|ISBN10: 1799827720|EISBN13: 9781799827733. https://doi.org/10.4018/978-1-7998-2772-6
Liao, Y., Deschamps, F., Loures, E.D.F.R., Ramos, L.F.P.: Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. Int. J. Prod. Res. 55(12), 3609–3629 (2017)
Lins, T., Oliveira, R.A.R.: Cyber-physical production systems retrofitting in context of industry 4.0. Comput. Indust. Eng. 139, 106193 (2020)
Masood, T., Egger, J.: Augmented reality in support of Industry 4.0—implementation challenges and success factors. Rob. Comput. Integr. Manuf. 58, 181–195 (2019)
Meissner, H., Aurich, J.C.: Implications of cyber-physical production systems on integrated process planning and scheduling. Procedia Manuf. 28, 167–173 (2019)
Mourtzis, D., Vasilakopoulos, A., Zervas, E., Boli, N.: Manufacturing system design using simulation in metal industry towards education 4.0. Procedia Manuf. 31, 155–161 (2019)
Mourtzis, D., Vlachou, E., Dimitrakopoulos, G., Zogopoulos, V.: Cyber-physical systems and education 4.0–the teaching factory 4.0 concept. Procedia Manuf. 23, 129–134 (2018)
Paravizo, E., Chaim, O.C., Braatz, D., Muschard, B., Rozenfeld, H.: Exploring gamification to support manufacturing education on industry 4.0 as an enabler for innovation and sustainability. Procedia Manuf. 21, 438–445 (2018)
Promyoo, R., Alai, S., El-Mounayri, H.: Innovative digital manufacturing curriculum for industry 4.0. Procedia Manuf. 34, 1043–1050 (2019)
Rossit, D.A., Tohmé, F., Frutos, M.: Industry 4.0: smart scheduling. Int. J. Prod. Res. 57(12), 3802–3813 (2019)
Sahal, R., Breslin, J.G., Ali, M.I.: Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case. J. Manuf. Syst. 54, 138–151 (2020)
Schumacher, A., Nemeth, T., Sihn, W.: Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises. Procedia Cirp 79, 409–414 (2019)
Tiacci, L.: Object-oriented event-graph modeling formalism to simulate manufacturing systems in the Industry 4.0 era. Simulation Model. Pract. Theory 99, 102027 (2020)
Tosello, E., Castaman, N., Menegatti, E.: Using robotics to train students for Industry 4.0. IFAC-Papers On Line 52(9), 153–158 (2019)
Vaidya, S., Ambad, P., Bhosle, S.: Industry 4.0–a glimpse. Procedia Manuf. 20, 233–238 (2018)
Yang, S., Hamann, K., Haefner, B., Wu, C., Lanza, G.: A method for improving production management training by integrating an industry 4.0 innovation center in China. Procedia Manuf. 23, 213–218 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kumar, R., Gupta, P., Singh, S., Jain, D. (2021). Implementation of Industry 4.0 Practices in Indian Organization: A Case Study. In: Phanden, R.K., Mathiyazhagan, K., Kumar, R., Paulo Davim, J. (eds) Advances in Industrial and Production Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-4320-7_4
Download citation
DOI: https://doi.org/10.1007/978-981-33-4320-7_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4319-1
Online ISBN: 978-981-33-4320-7
eBook Packages: EngineeringEngineering (R0)