| Automação |
Chauhan et al. (2021)Chauhan, C., Singh, A., & Luthra, S. (2021). Barriers to industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy. Journal of Cleaner Production, 285, 124809., Lohmer e Lasch (2020)Lohmer, J., & Lasch, R. (2020). Blockchain in operations management and manufacturing: Potential and barriers. Computers & Industrial Engineering, 149, 106789., Olsen e Tomlin (2020)Olsen, T. L., & Tomlin, B. (2020). Industry 4.0: Opportunities and challenges for operations management. Manufacturing & Service Operations Management, 22(1), 113–122., Wang et al. (2021)Wang, Y., Skeete, J.-P., & Owusu, G. (2021). Understanding the implications of artificial intelligence on field service operations: A case study of BT. Production Planning & Control, 1–17. e Watanabe et al. (2019)Watanabe, I., Yoshibayashi, T., & Imaoka, T. (2019). AI-based demand forecasting for both reliable forecasting and efficient operation: Dynamic ensemble forecasting. Fujitsu Scientific & Technical Journal, 55(2), 14–22.
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| Melhor tomada de decisão |
Diwas (2020)Diwas, K. (2020). Worker productivity in operations management. Foundations and Trends® in Technology, Information and Operations Management, 13(3), 151–249., Olsen e Tomlin (2020)Olsen, T. L., & Tomlin, B. (2020). Industry 4.0: Opportunities and challenges for operations management. Manufacturing & Service Operations Management, 22(1), 113–122., Thomas (2019)Thomas, A. (2019). Convergence and digital fusion lead to competitive differentiation. Business Process Management Journal, 26(3), 707–720. e Wang et al. (2021)Wang, Y., Skeete, J.-P., & Owusu, G. (2021). Understanding the implications of artificial intelligence on field service operations: A case study of BT. Production Planning & Control, 1–17.
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| Coleta ampla de dados em tempo real |
Guha Kumar (2018)Guha, S., & Kumar, S. (2018). Emergence of big data research in operations management, information systems, and healthcare: Past contributions and future roadmap. Production and Operations Management, 27(9), 1724–1735., Hannola et al. (2018)Hannola, L., Richter, A., Richter, S., & Stocker, A. (2018). Empowering production workers with digitally facilitated knowledge processes: A conceptual framework. International Journal of Production Research, 56(14), 4729–4743., Isaksson et al. (2018)Isaksson, A. J., Harjunkoski, I., & Sand, G. (2018). The impact of digitalization on the future of control and operations. Computers & Chemical Engineering, 114, 122–129. e Li et al. (2020)Li, Z., Guo, H., Barenji, A. V., Wang, W., Guan, Y., & Huang, G. Q. (2020). A sustainable production capability evaluation mechanism based on blockchain, LSTM, analytic hierarchy process for supply chain network. International Journal of Production Research, 58(24), 7399–7419.
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| Centralização e compartilhamento de informações entre o sistema e as pessoas |
Erasmus et al. (2018)Erasmus, J., Grefen, P., Vanderfeesten, I., & Traganos, K. (2018). Smart hybrid manufacturing control using cloud computing and the internet-ofthings. Machines, 6(4), 62., Fettermann et al. (2018)Fettermann, D. C., Cavalcante, C. G. S., Almeida, T. D. de, & Tortorella, G. L. (2018). How does Industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, 35(4), 255–268., Kobbacy et al. (2007)Kobbacy, K. A., Vadera, S., & Rasmy, M. H. (2007). AI and OR in management of operations: History and trends. Journal of the Operational Research Society, 58(1), 10–28., Li, Dai et al. (2020)Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229, 107777., Lohmer e Lasch (2020)Lohmer, J., & Lasch, R. (2020). Blockchain in operations management and manufacturing: Potential and barriers. Computers & Industrial Engineering, 149, 106789. e Zhang et al. (2020)Zhang, F., Wu, X., Tang, C. S., Feng, T., & Dai, Y. (2020). Evolution of operations management research: From managing flows to building capabilities. Production and Operations Management, 29(10), 2219–2229.
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| Gestão de informações mais ágil |
Diwas (2020)Diwas, K. (2020). Worker productivity in operations management. Foundations and Trends® in Technology, Information and Operations Management, 13(3), 151–249., Fisch e Fleury (2020)Fisch, F., & Fleury, A. (2020). Towards the digitally-enabled multinational inner network (DEMIN). Gestão & Produção, 27., Li et al. (2020)Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229, 107777., Thomas (2019)Thomas, A. (2019). Convergence and digital fusion lead to competitive differentiation. Business Process Management Journal, 26(3), 707–720. e Wang et al. (2021)Wang, Y., Skeete, J.-P., & Owusu, G. (2021). Understanding the implications of artificial intelligence on field service operations: A case study of BT. Production Planning & Control, 1–17.
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| Aumento da produtividade |
Felsberger et al. (2020)Felsberger, A., Qaiser, F. H., Choudhary, A., & Reiner, G. (2020). The impact of Industry 4.0 on the reconciliation of dynamic capabilities: Evidence from the European manufacturing industries. Production Planning & Control, 33(2–3), 277–300., Hannola et al. (2018)Hannola, L., Richter, A., Richter, S., & Stocker, A. (2018). Empowering production workers with digitally facilitated knowledge processes: A conceptual framework. International Journal of Production Research, 56(14), 4729–4743., Isaksson et al. (2018)Isaksson, A. J., Harjunkoski, I., & Sand, G. (2018). The impact of digitalization on the future of control and operations. Computers & Chemical Engineering, 114, 122–129., Shou et al. (2019)Shou, Y., Zhao, X., & Chen, L. (2019). Operations strategy of cloud-based firms: Achieving firm growth in the big data era. International Journal of Operations & Production Management, 40(6), 873–896. e Yunus (2020)Yunus, E. N. (2020). The mark of industry 4.0: how managers respond to key revolutionary changes. International Journal of Productivity and Performance Management, 70(5), 1213–1231.
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| Monitoramento simplificado |
Chauhan et al. (2021)Chauhan, C., Singh, A., & Luthra, S. (2021). Barriers to industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy. Journal of Cleaner Production, 285, 124809., Kobbacy e Vadera (2011)Kobbacy, K. A., & Vadera, S. (2011). A survey of AI in operations management from 2005 to 2009. Journal of Manufacturing Technology Management, 22, i.6., Kumar et al. (2018)Kumar, S., Mookerjee, V., & Shubham, A. (2018). Research in operations management and information systems interface. Production and Operations Management, 27(11), 1893–1905., Lohmer e Lasch (2020)Lohmer, J., & Lasch, R. (2020). Blockchain in operations management and manufacturing: Potential and barriers. Computers & Industrial Engineering, 149, 106789. e Wamba e Queiroz (2020)Wamba, S. F., & Queiroz, M. M. (2020). Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities. Elsevier.
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| Redução de despesas desnecessárias; aumentar a satisfação dos funcionários |
Bienhaus e Haddud (2018)Bienhaus, F., & Haddud, A. (2018). Procurement 4.0: Factors influencing the digitisation of procurement and supply chains. Business Process Management Journal, 24(4), 965–984. e Chonsawat e Sopadang (2020)Chonsawat, N., & Sopadang, A. (2020). Defining SMEs’ 4.0 readiness indicators. Applied Sciences, 10(24), 8998.
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Fonte: Extraída do VOSviewer em março de 2021.
Fonte: Extraída do VOSviewer em março de 2021.
Fonte: Extraída do VOSviewer em março de 2021.
Fonte: Elaborada pelas autoras com base no diagrama de fluxo PRISMA 2020 para novas revisões sistemáticas.