Environmental Benefits Arising from the Adoption of IoT in the Furniture Manufacturing Process

Authors

DOI:

https://doi.org/10.24857/rgsa.v18n9-032

Keywords:

Environmental Impact, Furniture Industry, Internet of Things, Industry 4.0

Abstract

Purpose: Verify the possible contributions of adopting IoT (Internet of Things) in the furniture manufacturing process to mitigate environmental impact.

 

Theoretical background: In order to build the theoretical lens to interpret the empirical data, the authors reviewed the scientific literature about Green Manufacturing, IoT Technology, as well as a characterization of the Furniture Market.

 

Method/design/approach: We opted for a single case study strategy, in one of the largest furniture manufacturers in Brazil, a qualitative approach, data collection through semi-structured interviews with managers of the investigated organization, directly linked to manufacturing processes, in addition to documentary survey, from internal industry records and systematic participant observation.

 

Results and conclusion: The research results showed that the Alfa industry adopts IoT technology, both to improve productive efficiency and to mitigate environmental impacts, in relation to better control of the energy matrix, consumption of inputs in the production process and to avoid/reduce the occurrence rework, control of internal movement and optimization of space for storing inputs and finished products.

 

Research implications: As managerial contributions, we highlight the set of empirical evidence that points to the technical feasibility of adopting IoT technology in the furniture manufacturing, both to improve efficiency in the production process and to mitigate the environmental impact, which can induce further academic research and thus benefit the society.

 

Originality/value: This is a study that is still little explored in the scientific literature.

Downloads

Download data is not yet available.

References

Adi, E., Anwar, A., Baig, Z. A., & Zeadally, S. (2020). Machine learning and data analytics for the IoT. Neural Computing and Applications, 32(5).

Bardin, L. (2016). Análise de conteúdo. São Paulo, SP: Edições 70. 279 p. ISBN 9788562938047.

Bocken, N. M. P. et al. (2014). A Literature and Practice Review to Develop Sustainable Business Model Archetypes. Journal of cleaner production, 65, 42-56.

Bongomin, O. et al. (2020). Exponential Disruptive Technologies and the Required Skills of Industry 4.0. Journal of Engineering, 3(1).

Brainer, M. S. C. P. (2019). Setor Moveleiro. Caderno setorial. Escritório Técnico de Estudos Econômicos do Nordeste – ETENE, Banco do Nordeste, Ano 4, Nº 89, Fortaleza, Ceará.

Brasil. (2010). Lei nº 12.305, de 02 de agosto de 2010. Institui a Política Nacional de Resíduos Sólidos. Diário Oficial da República Federativa do Brasil, Poder Executivo, Brasília, DF.

Chan, M., Estève, D., Fourniols, J.Y., Escriba, C., & Campo, E. (2012). Smart wearable systems: current status and future challenges. Artif. Intell. Med. 56 (3), 137–156.

Chituc, C., Azevedo, A., & Toscano, C. (2009). A framework proposal for seamless interoperability in a collaborative networked environment. Computers in industry, 60(5), 317-338.

Corrêa, H. L., & Corrêa, C. A. (2011). Administração de produção e operações - manufatura e serviços: uma abordagem estratégica. 2 ed. São Paulo: Atlas. 690p.

Correa, H. L. (2019). Administração de cadeias de suprimentos e logística: integração na era da Indústria 4.0. São Paulo: Atlas.

Dalalah, D., Khan, S. A., Al-Ashram, Y., Albeetar, S., Ali, Y. A., & Alkhouli, E. (2022). An integrated framework for the assessment of environmental sustainability in wood supply chains. Environmental Technology & Innovation. 27, 102429. https://doi.org/10.1016/j.eti.2022.102429

Demo, P. (2022). Avaliação qualitativa. 1. ed. Campinas: Autores Associados. 1 recurso online. ISBN 9786588717691.

FIEP, Federação das Indústrias do Estado do Paraná. (2017). Panorama setorial: indústria de móveis: Paraná 2017. Federação das Indústrias do Estado do Paraná. Curitiba, Paraná, ISBN: 978-85-61268-10-7, p. 104.

Flick, U. (2012). Introdução à Metodologia de Pesquisa. 1. Porto Alegre, RS: Penso. recurso on-line. ISBN 9788565848138.

Freitas, J. (2012). Sustentabilidade: Direito ao futuro. Belo Horizonte: Editora Fórum.

IBGE, Instituto Brasileiro de Geografia e estatística / Comissão Nacional de classificação. (2021). Sistema de busca de atividades do CNAE. Recuperado em: 10 out. 2023, de: https://concla.ibge.gov.br/busca-online-cnae.html

IEMI, Inteligência de mercado. (2021). Mercado de Móveis e Colchões. Estimativas e Comportamento Pós Pandemia. São Paulo.

Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The Impact of Digital Technology and Industry 4.0 on The Ripple Effect and Supply Chain Risk Analytics. International Journal of Production Research, 57(3), 829-846.

Li, J. et al. (2021). An empirical investigation of trust inAI in a Chinese petrochemical enterprise based on institutional theory. Scientific Reports, 11, N°13564.

Litchfield, F. H. (2011). A history of furniture. Bremen, Deutchland: Dogma.

Lopes, C. S. (2004). Estudos de história do mobiliário. Porto: Gabinete de Estudos de Artes Decorativas da Universidade Católica Portuguesa. ISBN 972-99088-0-X

Lu, Y. (2017). Industry 4.0: a survey on technologies, applications and open research issues. J. Ind. Inf. Integrat., 6, 1–10.

Marconi, M. A., & Lakatos, E. M. (2017). Fundamentos de metodologia científica. 8. ed. São Paulo, SP: Atlas. 346 p. ISBN 9788597010121.

Minerva, R., Biru, A., & Rotondi, D. (2015). Towards a definition of the Internet of Things (IoT). IEEE Internet of Things, 27 Maio.

Miorandi, D. et al. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497-1516.

Montenegro, R. (1995). Guia da história do Mobiliário. Lisboa: Editorial Presença.

Moreira, D. A. (2009). Administração da Produção e Operações. 2º ed. São Paulo: Cengage Learning, 624 p.

Nozari, H., et al. (2021). Big data analysis of IoT-based supply chain management considering FMCG industries. Business Informatics, 15(1), 78-96.

Oates, P. B. (1981). História do mobiliário ocidental. Lisboa: Editorial Presença.

Pang, R., & Zhang, X. (2019). Achieving Environmental Sustainability in Manufacture: A 28-Year Bibliometric Cartography of Green Manufacturing Research. Journal of Cleaner Production, 233, 84-99.

Rehman, M. A., Seth, D., & Shrivastava, R. L. (2016). Impact of green manufacturing practices on organisational performance in Indian context: An empirical study. Journal of Cleaner Production, 137(20), 427-448.

Riegel, I. C., Staudt, D., & Daroit, D. (2012). Identificação de Aspectos Ambientais Relacionados à Produção De Embalagens de Perfumaria: Contribuição para Projetos Sustentáveis. Gestão & Produção, 19(3), 633-645.

Ritzman, L. P., & Krajewski, L. J. (2005). Administração da Produção e Operações. São Paulo: Pearson Prentice Hall, 431 p.

Sacomano, J. B. et al. (2018). Indústria 4.0: conceitos e fundamentos. São Paulo: Blucher.

Schreiber, D. (2023). Technologies of Industry 4.0 to Foster Green Manufacturing in Footwear Production in Brazil. International Journal of Business Innovation and Research (Print), 1, 1-21.

Schreiber, D., Sander, S. C., & Vier, M. (2023). Reverse Logistics in Footwear Production: In The Stage After Returned From Consumer. Revista de Gestão Social e Ambiental, 17(1), e03160. https://doi.org/10.24857/rgsa.v17n1-017

Schwab, K. (2017). A Quarta Revolução Industrial. 1 ed. São Paulo: Edipro. 159 p.

Silva, G. H. D. E, Massote, A. A., & Lima, F. (2022). Reality Capture as a Tool for Digital Integration of the Planned Furniture Industry Measuring Process. Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA, 1-13, doi: 10.23919/PICMET53225.2022.9882610.

Slack, N., Chambers, S., & Johnston, R. (2009). Administração da Produção. 3º ed. São Paulo: Atlas. 703 p.

Solima, L., Della Peruta, M.R., & Del Giudice, M. (2016). Object-generated content and knowledge sharing: the forthcoming impact of the internet of things. J. Knowl. Econ, 7(3), 738–752.

Toke, L. K., & Kalpande, S. D. (2019). Critical Success Factors of Green Manufacturing for Achieving Sustainability in Indian Context. International Journal of Sustainable Engineering, 12(6), 415-422.

Wang, S. et al. (2016). Towards Smart Factory for Industry 4.0: A Self-organized Multi-agent System with Big Data Based Feedback And Coordination. Computer Networks, 101, 158-168.

Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the Art and Future Trends. International Journal of Production Research, 56(8), 2941-2962.

Yin, R. K. (2015). Estudo de caso: Planejamento e Métodos. 5. ed. Porto Alegre: Bookman Editora.

Zhong, R. Y. et al. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering, 3(5), 616-630.

Published

2024-04-28

How to Cite

Schreiber, D., Froehlich, C., Feil, A. A., Becker, V. J., & Haubert, B. (2024). Environmental Benefits Arising from the Adoption of IoT in the Furniture Manufacturing Process. Revista De Gestão Social E Ambiental, 18(9), e06274. https://doi.org/10.24857/rgsa.v18n9-032

Issue

Section

Artigos