ADOPTION OF INDUSTRY 4.0: PLANNING AND CHALLENGES
Abstract
The era of Industry 4.0 is characterized by advanced automation, large-scale data analysis (Big Data), and the Internet of Things, resulting in a significant reduction of human intervention in manufacturing processes. This transformation directly impacts the field of project planning, necessitating adaptations and updates to deal with the latest technologies and interconnected systems. While international literature provides a solid foundation on Industry 4.0, the practical application and specificities of this movement in Brazilian companies still lack a detailed analysis. This study aims to bridge this gap by investigating how a local company adapts to the demands and challenges of Industry 4.0. The primary objective of this study is to analyze the project planning system and technological risk management, providing greater clarity for companies seeking to implement Industry 4.0. Specifically, we aim to identify the practices, challenges, and benefits of data virtualization, as well as the autonomous decision-making capabilities of planning software and the pivotal role of MRP (Manufacturing Resource Planning) software in data retrieval. We employ an approach that combines an international literature review with a case study of a Brazilian multinational corporation. Interviews with company professionals were conducted to gather valuable insights into their practices and challenges related to project planning and technological risk management. Our findings reveal that the studied company possesses a solid understanding of the practices required for data virtualization, which is essential in Industry 4.0. Furthermore, the planning software enables autonomous decision-making, optimizing efficiency and report reliability. MRP software plays a critical role in data retrieval and negotiation capabilities. This study underscores the importance of companies adapting to the challenges of Industry 4.0 and effectively managing project planning and technological risks. Hierarchy-based access limitations to the system prove to be a crucial factor in information security, particularly regarding the protection of intellectual property. Industry 4.0 brings forth new challenges and opportunities, and companies seeking to embrace this movement must be prepared to confront them.
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References
BRETTEL, MALTE; FRIEDERICHSEN, NIKLAS; KELLER, M.; ROSENBERG, MARIUS. How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0. Perspective. [S. l.: s. n.], 2014.
CONTI, MARCO; PASSARELLA, ANDREA; DAS, SAJAL K. The Internet of People (IoP): A new wave in pervasive mobile computing. Pervasive and Mobile Computing, [S. l.], v. 41, p. 1-27, 22 jul. 2017.
CUMMINGS, THOMAS G.; WORLEY, CHRISTOPHER G. Organization Development & Change. 10. ed. [S. l.]: Cengage Learning, 2014. 810 p. ISBN 1133190456.
GOMES, R. A. A análise de dados em pesquisa qualitativa. In: MYAIO, M. C. S. (Org). Pesquisa social: teoria, método, crtiatividade. Petrópolis: Vozes, 1994. P. 67 a 80.
GORECKY, DOMINIC; SCHMITT, MATHIAS; LOSKYLL, MATTHIAS; ZÜHLKE, DETLEF. Human-machine-interaction in the industry 4.0 era. 2014 12th IEEE International Conference on Industrial Informatics (INDIN), Porto Alegre, Brasil, p. 289-294, 6 nov. 2014.
HANNAN, MAHAMMAD A.; FAISAL, MOHAMMAD; KER, PIN JERN; MUN, LOOE HUI; PARVIN, KHADIJA; MAHLIA, TEUKU MEURAH INDRA; BLAABJERG, FREDE. A Review of Internet of Energy Based Building Energy Management Systems: Issues and Recommendations. IEEE, [S. l.], p. 38997-39014, 4 jul. 2018.
HERMANN, MARIO; PENTEK, TOBIAS; OTTO, BORIs. Design Principles for Industrie 4.0 Scenarios. IEEE, [S. l.], p. 3928–3937, 10 jan. 2016.
KUMAR, KAUSHIK; ZINDANI, DIVYA; DAVIM, J. PAULO. Industry 4.0: Developments Towards the Fourth Industrial. [S. l.]: Springer, 2019. 59 p. ISBN 981138164X.
LEE, J.; BAGHERI, B.; KAO, H.-A. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, v. 3, p. 18–23, 1 jan. 2015.
LOM, MICHAL; PRIBYL, ONDREJ; SVITEK, MIROSLAV. Industry 4.0 as a part of smart cities. IEEE, 2016 Smart Cities Symposium Prague (SCSP), p. 1-6, 30 jun. 2016.
MIGUEL, PAULO A. CAUCHICK; SOUSA, RUI - O Método do Estudo de Caso na Engenharia de Produção. In MIGUEL, PAULO A. CAUCHICK (coord.) - Metodologia de Pesquisa em Engenharia de Produção e Gestão de Operações. 2.ª ed. Rio de Janeiro: Elsevier, 2012. ISBN 978-85-352-4850-0. Cap. 6, p. 131-148
OESTERREICH, THUY DUONG; TEUTEBERG, FRANK. Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, [S. l.], v. 83, p. 121-139, 9 jun. 2016.
PEDAGOPU, V. M.; KUMAR, M. Integration of CAD/CAPP/CAM/CNC to Augment the Efficiency of CIM. In: INTERNATIONAL Review of Applied Engineering Research. [S. l.]: Research India Publications, 2014. v. 4, p. 171-176. ISBN 2248-9967.
SACOMANO, JOSÉ BENEDITO; SILVA, MÁRCIA TERRA DA; GONÇALVES, RODRIGO FRANCO; BONILLA, SÍLVIA HELENA; SÁTYRO, WALTER. Indústria 4.0: Conceitos e fundamentos. 1. ed. [S. l.]: Blucher, 2018. 169 p. ISBN 9788521213703.
SOLTOVSK, RAMON; RESENDE, LUIS M. M.; PONTES, JOSEANE; YOSHINO, RUI T.; SILVA, LEONARDO B. P. DA. Um estudo quantitativo sobre os riscos da indústria 4.0 no contexto industrial: Uma revisão sistemática da literatura. Novo Hamburgo: Gestão e Desenvolvimento, 2020. Disponível em: https://periodicos.feevale.br/seer/index.php/revistagestaoedesenvolvimento/article/view/2245/2698. Acesso em: 22 Maio. 2022
VOSS, CHRIS; TSIKRIKTSIS, NIKOS; FROHLICH, MARK. Case research in operations management. International Journal of Operations & Production Management, [S. l.], v. 22, n. 2, p. 195-219, 1 fev. 2002.
WANG, SHIYONG; WAN, JIAFU; ZHANG, DAQIANG; LI, DI; ZHANG, CHUNCHUA. Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput. Networks, [S. l.], v. 101, p. 158-168, 4 jun. 2016.
