Exploring sustainable human manufacturing: industry 4.0, manufacturing, and green marketing for a balanced future
Explorando a manufatura humana sustentável: indústria 4.0, manufatura e marketing verde para um futuro equilibrado
Palavras-chave:
Green marketing strategies, Human industrial production, Industry 4.0, Industry 5.0, SustainabilityResumo
This study provides a comprehensive overview of a study examining the correlation between human industrial production and sustainability, with a specific focus on the implications of Industry 4.0 (I4) and Industry 5.0 (I5) technologies. The research investigates the potential benefits of integrating I4 technologies, such as artificial intelligence and additive manufacturing, in industrial processes to optimize efficiency, reduce environmental impact, and enhance worker safety. The study highlights the significance of sustainable human manufacturing practices, including the implementation of Green innovations, fair labor conditions, and the adoption of recycled materials. These practices not only contribute to social sustainability but also foster job creation and provide essential support to local economies. Moreover, the research underscores the instrumental role played by I4 and I5 technologies in advancing industrial production efficiency, competitiveness, and collaboration through tools like the Internet of Things, big data, and artificial intelligence. The Triple Bottom Line (TBL) concept emerges as a valuable framework for evaluating companies based on their economic, social, and environmental performance. By adopting the TBL approach, businesses can promote sustainable development and achieve a balanced approach that caters to the interests of diverse stakeholders. Additionally, the study emphasizes the importance of Green marketing strategies aligned with sustainability principles and the TBL. These strategies play a crucial role in encouraging environmentally conscious choices in the market, meeting societal demands, and contributing to sustainable development goals. In conclusion, this study emphasizes the need to integrate sustainable practices and embrace technological advancements in industrial production while considering the social, environmental, and economic dimensions. The findings present vital insights for industries, policymakers, and stakeholders, guiding them in fostering sustainable human manufacturing practices and shaping a more sustainable and prosperous future.
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Referências
ABNT. (2010). ABNT NBR ISO 26000: Guidelines on social responsibility. Rio de Janeiro: ABNT.
Accenture. (2019). Intelligent Industry. Retrieved from https://www.accenture.com/_acnmedia/pdf-96/accenture-intelligent-industry-brochure.pdf
Awan, U., Sroufe, R., & Bozan, K. (2022). Designing value chains for industry 4.0 and a circular economy: A review of the literature. Sustainability, 14(12), 7084.
Bai, C., Xu, X., Liu, H., & Zhang, L. (2020). Sustainable development of Industry 4.0: Cross-case analysis of the China National Innovation Demonstration Zone. Journal of Cleaner Production, 244, 118551.
Barbosa, M. O., Silva, P. C. D., & Teixeira, R. L. P. (2022). Green steel and sustainability in pig iron production. Brazilian Journal of Scientific Initiation, e022018-e022018.
Bauernhansl, T., Hommel, G., & Vogel-Heuser, B. (2014). Industry 4.0 in Production, Automation and Logistics: Application, Technologies and Migration. Wiesbaden: Springer Vieweg.
Boons, F., Montalvo, C., Quist, J., & Wagner, M. (2013). Sustainable innovation, business models and economic performance: an overview. Journal of cleaner production, 45, 1-8.
Borges, R., et al. (2020). Industry 4.0 technologies for sustainable manufacturing: a review of recent advances. Journal of Cleaner Production, 258, 120607. DOI: https://doi.org/10.1016/j.jclepro.2020.120607.BRAGA, J., Carvalho, H., Silva D., J. (2020). Industry 4.0 and sustainability: a bibliometric analysis. Journal of Environmental Management and Sustainability, 9(3), 934-949.
Brown, C., et al. (2020). Convergence of nanotechnology and artificial intelligence in Industry 5.0. Journal of Advanced Manufacturing, 38(4), 567-589.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Carroll, A. B. (1991). The pyramid of corporate social responsibility: Toward the moral management of organizational stakeholders. Business Horizons, 34(4), 39-48.
Chen, L., et al. (2021). Benefits of Industry 5.0: Cost optimization, tailored solutions, and process automation. International Journal of Engineering and Technology, 18(4), 678-695.
Conceição, I. C., et al. (2022). Discourses on Industry 4.0 in the stamping sector of the automobile industry: A systematic review of the literature. Journal of Cases and Consulting, 13(1).
Costa, L. M. (2021). Safety in manufacturing: Ergonomic analysis in an assembly line of a furniture industry. (Master's thesis, Federal University of Minas Gerais).
Costa, M. S. (2019). Human manufacturing in the third millennium: Trends and challenges. Journal of Applied Technology, 8(2), 17-24.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
Davis, K. (2019). Technological applications in Industry 4.0 and Industry 5.0. Journal of Industrial Management, 32(3), 456-478.
Davis, M., & Edison, H. (2021). The Benefits and Drawbacks of Human vs. Automated Manufacturing. Thomasnet. Retrieved from https://www.thomasnet.com/articles/other/the-benefits-and-drawbacks-of-human-vs-automated-manufacturing/
Eisenhardt, K. M. (1989). Building theories from case study research. Academy of management review, 14(4), 532-550.
Elkington, J. (1998). Cannibals with Forks: The Triple Bottom Line of 21st Century Business. Oxford: Capstone.
Enyoghasi, C., & Badurdeen, F. (2021). Industry 4.0 for sustainable manufacturing: Opportunities at the product, process, and system levels. Resources, Conservation & Recycling, 166, 105362.
Fan, J., et al. (2018). Application of Artificial Intelligence in Additive Manufacturing: State of the Art and Outlook. IEEE Access, 6, 75502-75513.
Garg, R. K., et al. (2020). A review of artificial intelligence in Industry 4.0: Opportunities and challenges. Journal of Advanced Research, 23, 1-13.
Gartner. (2019). Gartner top 10 strategic technology trends for 2019: Discover the technology trends that are redefining business. Retrieved from https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2019/
Ghobakhloo, M., et al. (2021). Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants. Journal of Cleaner Production, 302, 127052.
Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for Industrie 4.0 scenarios: A literature review. Working Paper, Technische Universität Dortmund.
Hermundsdottir, F., & Aspelund, A. (2021). Sustainability innovations and firm competitiveness: A review. Journal of Cleaner Production, 280, 124715.
Hou, Y., et al. (2021). Optimization of energy consumption in sustainable manufacturing using machine learning: A review. Journal of Cleaner Production, 316, 126141.
International Organization for Standardization. (n.d.). ISO 14000 - Environmental management. Retrieved from https://www.iso.org/iso-14001-environmental-management.html
Jawahir, I., Badurdeen, F., & Rouch, K. E. (2013). Innovation in Sustainable Manufacturing Education. Proceedings of the 11th Global Conference on Sustainable Manufacturing - Innovative Solutions. ISBN 978-3-7983-2609-5.
Johnson, A., & Lee, B. (2021). Multidisciplinary collaboration in Industry 5.0. International Journal of Engineering and Technology, 18(3), 234-256.
Jones, S. (2023). Impact of Industry 5.0 on human relationships. Journal of Technology and Society, 21(1), 78-92.
Kagermann, H., et al. (2013). Industry 4.0: With the Internet of Things on the way to the 4th industrial revolution. VDI News, 44(02), 23-23.
Klein, A., et al. (2020). Sustainable Manufacturing: Challenges and Solutions. John Wiley & Sons.
Klein, L., et al. (2019). 3D Printing and Sustainable Development Goals: Review and Potential Impacts. Sustainability, 11(6), 1-18.
Kotler, P., et al. (2017). Marketing 4.0: From traditional to digital. Sextante.
Krajnc, D., & Glavič, P. (2005). Environmental management and ISO standards: Survey of Slovenian companies. Journal of Cleaner Production, 13(10-11), 1075-1082.
Krupnova, T., et al. (2020). Virtual Reality in Environmental Education for Manufacturing Sustainability in Industry 4.0. In 2020 Global Smart Industry Conference (GloSIC).
Kühlmann, T., et al. (2021). Industry 4.0: Sustainability aspects and challenges. Journal of Cleaner Production, 289.
Liao, Y., et al. (2021). Combining 3D printing, industry 4.0, and sustainable manufacturing: A review and outlook. Journal of Cleaner Production, 310, 127776.
Lopes, E. B., et al. (2019). Environmental auditing: A critical review of the literature and an agenda for future research. Journal of Cleaner Production, 230, 30-43.
Maccari, E. A., et al. (2020). Artificial intelligence in human manufacturing: safety and ethical challenges. Brazilian Journal of Management and Innovation, 8(3), 20-33.
Mohanty, R. P., Jena, S. K., Biswal, M. P., Dehury, P. P., & Mishra, B. (2018). Sustainable manufacturing practices: A review. Materials Today: Proceedings, 5(10), Part 3, 22338-22345.
Müller, J. M., et al. (2018). Industry 4.0 and sustainability implications: A scenario-based analysis. Sustainability, 10(9), 3208.
Ogiemwonyi, O. I., et al. (2023). Green innovation behaviour: Impact of industry 4.0 and open innovation. Heliyon, 9, e16524.
Oliveira, F., et al. (2019). Intelligent manufacturing: Industry 4.0 and beyond. Journal of Industrial and Production Engineering, 36(3), 129-147. DOI: https://doi.org/10.1080/21681015.2018.1556365
Patel, S. (2020). Manufacturing: Human vs. Non-Human. Medium. Retrieved from https://medium.com/@smilepatel/manufacturing-human-vs-non-human-4d677b3cd8a4
Peattie, S. (2010). Ready to Fly Solo? Reducing Social and Environmental Impacts in the Creation of a New SME Brand. Journal of Business Ethics, 94(1), 81-103.
Peter, Y., et al. (2019). Industry 4.0: State of the art and future trends. Journal of Industrial Information Integration, 18, 100141.
PwC. (2018). Industry 4.0: Building the digital enterprise. PwC Strategy&. Retrieved from https://www.strategyand.pwc.com/gx/en/insights/industry4-0/building-digital-enterprise-industry4-0
Reis, L. C., et al. (2019). Sustainability in Industry: a systematic review of the literature. Notebooks EBAPE.BR, 17.
Roorda, E., & Lacerda, L. D. A. (2003). ISO 14001: the business case. Journal of Cleaner Production, 11(6), 621-624.
Sabu, S. T., & Ciby, T. (2022). Industry 4.0 and Sustainability in Through Life Smart Manufacturing. IEEE. Retrieved from https://ieeexplore-ieee-org.ez38.periodicos.capes.gov.br/stamp/stamp.jsp?tp=&arnumber=10079768
Sacco, M., Alam, M. M., Bouchard, K., et al. (2020). Sustainability in Industry 4.0: A review of the literature and implications for sustainable development. Journal of Cleaner Production, 263, 121575.
Santos, L. C. G., et al. (2020). The challenges of Industry 4.0 in manufacturing: a systematic review. Production in Focus, 10(1), 55-71. DOI: https://doi.org/10.21569/producaemfoco.2020.v10i1.4484.
Sharma, S., Prakash, G., Kumar, A., Mussada, E. K., Antony, J., & Luthra, S. (2021). Analysing the relationship of adaption of Green culture, innovation, Green performance for achieving sustainability: Mediating role of employee commitment. Journal of Cleaner Production, 303, 127039.
Silva, P. C. D., Teixeira, R. L. P., & de Araújo Brito, M. L. (2022). Green marketing in cosmetics companies advertising campaigns: an analytical and linguistic approach to the metaphorization of Green. Journal of Social and Environmental Management-RGSA, 16(2), e02996.
Smith, J. (2022). The role of artificial intelligence in Industry 5.0. Journal of Industrial Engineering, 45(2), 123-145.
Tao, F., Zhang, L., Venkatesh, V. C., et al. (2018). Promises and challenges of Industry 4.0: A bibliometric study. International Journal of Production Research, 56(8), 2941-2962.
Teixeira, C. H. S. B. (2021). The circular economy in the era of the 4th industrial revolution - use of technology towards the transition (Monograph). Federal University of Minas Gerais.
Teixeira, C. H. S. B., & Teixeira, R. L. P. (2022). Convergences between circular economy and Industry 4.0 practices. Revista de Gestão Social e Ambiental, 16(2), 1-18.
Teixeira, C. H. S. B., et al. (2022). The circular economy in the age of the 4th industrial revolution - the use of technology towards transition. Revista Gestão & Tecnologia, 22(4), 64-89.
Teixeira, R. L. P., et al. (2019). The discourses about the challenges of the steel industry in industry 4.0 in Brazil. The Brazilian Journal of Development, 5(12), 2525-8761.
Wang, X., et al. (2017). Industrial Internet of Things-based manufacturing: A case study of the intelligent workshop. Journal of Industrial Information Integration, 7, 14-21.
Wang, Y., & Wang, L. (2021). Towards Industry 4.0: A comprehensive review of the opportunities, challenges, and applications. Journal of Cleaner Production, 279, 123337.
Wang, Z., Jin, Y., Zhao, L., Tang, L., Zhang, Y., & Hu, Y. (2018). An artificial intelligence approach to energy efficiency optimization for sustainable manufacturing. Journal of Cleaner Production, 196, 1565-1576.
Wilson, R., & Garcia, M. (2022). Industry 5.0 and its applications in security, healthcare, logistics, and social equality. International Journal of Industrial Innovation, 12(2), 345-367.
Witjes, S., Schlichter, F., & Hellwig, R. T. (2016). Towards sustainable Industry 4.0: An overview and research agenda for ecological and social sustainability. Technology in Society, 47, 145-154.
World Commission on Environment and Development (WCED). (1987). Our Common Future. Oxford University Press.
Xu, X., et al. (2021). A new paradigm for human-centred sustainable manufacturing: Human-system integration, product-service systems, and circularity. Journal of Cleaner Production, 291, 125598.
Zhang, L., et al. (2019). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 15, 4-13.
Zhao, F., Wang, J., Song, Q., Li, L., & Zhang, D. (2019). Application of artificial intelligence in sustainable manufacturing: A review. Journal of Cleaner Production, 208, 1017-1038.
Zhou, J., et al. (2021). A review of the use of computer vision in robotic manufacturing. Robotics and Computer-Integrated Manufacturing, 69, 255-265.