Top

Published in:

2024 | OriginalPaper | Chapter

Selection of Industry 4.0 Technology to Support Lean Manufacturing from the Perspective of Enterprise Interoperability

Authors : G. R. D. N. Martins, L. F. P. Ramos, E. F. R. Loures, F. Deschamps, L. R. Loures

Published in: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Faced with paradigm shifts in the global manufacturing context promoted by the Fourth Industrial Revolution, many organizations are seeking to meet customer needs through the integration of Lean Manufacturing (LM) philosophy principles with Industry 4.0 (I4.0) technologies. When there is the integration of technological enablers from I4.0 and deep advances in efficiency and productivity with LM, these systems tend to offer enhanced and more assertive results, since they are complementary concepts. The main goal of this paper is the selection of I4.0 technologies to support the LM system, considering the perspectives and barriers of Enterprise Interoperability (EI) and using multicriteria methods (MCDM) to support decision-making. Using the DEMATEL multicriteria method, it was possible to develop a diagnostic evaluation, analyze the existing influences between the elements of the LM, and support the elicitation of weights in the decisional evaluation, with the FITradeoff method. In this way, the decisional evaluation indicated as the I4.0 technology that must be implemented as a priority to raise the level of organizational maturity in LM is Big Data Analytics. Big Data integrated with Business Analytics (BA) can offer several advantages, such as assertiveness in decision-making; Keeping the company updated about the market; Indicating risks and improving data security; Promotes alignment between marketing and sales, among others.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter A Readiness Level Assessment Framework for Zero Defect Manufacturing (ZDM)

next chapter The Quality Manager in the Industry 4.0 Era

Ikeziri, L.M., Melo, J.C., Campos, R.T., Okimura, L.I., Junior, J.A.G.: A perspectiva da indústria 4.0 sobre a filosofia de gestão lean manufacturing. Braz. J. Dev. 6(1), 1274–1289 (2020)

Silveira, C.B.: O que é a Indústria 4.0 e como ela vai impactar o mundo. Citisystems (2017). (in Portuguese)

Metternich, J., Müller, M., Meudt, T., Schaede, C.: Lean 4.0–zwischen Widerspruch und Vision. ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 112(5), 346–348 (2017)

Sanders, A., Elangeswaran, C., Wulfsberg, J.: Industry 4.0 implies lean manufacturing: research activities in industry 4.0 function as enablers for lean manufacturing. J. Ind. Eng. Manag. 9(3), 811–833 (2016)

Buer, S.V., Strandhagen, J.O., Chan, F.T.S.: The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. Int. J. Prod. Res. 56(8), 2924–2940 (2018)

Ramos, L.F.P., Loures, E.R., Deschamps, F., Giesel, E., Savaris, E.: Systems evaluation methodology to attend the digital projects requirements for industry 4.0. In: 25th International Society for Productivity Enhancement International Conference on Transdisciplinary Engineering (2018)

Campos, C., Chalmeta, R., Grangel, R., Poler, R.: Maturity model for interoperability potential measurement. Inf. Syst. Manag. 30(3), 218–234 (2013)CrossRef

Chen, D., Doumeingts, G., Vernadat, F.: Architectures for enterprise integration and interoperability: past, present and future. Comput. Ind. (2008)

Chalmeta, R., Campos, C., Grangel, R.: References architectures for enterprise integration. J. Syst. Softw. (2010)

10.

Liao, Y., Loures, E.R., Deschamps, F., Ramos, L.F.P.: Past, present and future of industry 4.0 - a systematic literature review and research agenda proposal. Int. J. Prod. Res. 1, 1–21 (2017). Print

11.

Institute of Electrical and Electronics Engineers Computer Society, Standards Coordinating Committee. IEEE standard computer dictionary: a compilation of IEEE standard computer glossaries. Institute of Electrical and Electronics Engineers, New York (1990)

12.

Chen, D.: Framework for enterprise interoperability. Work performed in interop noe, di: domain of interoperability (2008)

13.

Chen, D., Daclin, N.: Framework for enterprise interoperability. In: Interoperability for Enterprise Software and Applications: Proceedings of the Workshops and the Doctorial Symposium of the Second IFAC/IFIP I‐ESA International Conference: EI2N, WSI, IS‐TSPQ, pp. 77–88. ISTE, London (2006)

14.

Bordini, G.A.: Contribuição para a formalização de um modelo de avaliação de interoperabilidade na cadeia de suprimentos do setor automotivo (2011). (in Portuguese)

15.

Carvalho, N., Chaim, O., Cazarini, E., Gerolamo, M.: Manufacturing in the fourth industrial revolution: a positive prospect in sustainable manufacturing. Procedia Manuf., 671–678 (2018)

16.

Gallegos-Baeza, D., Caro, A., Rodríguez, A., Velásquez, I.: Aligning business strategy and information technologies in local governments using enterprise architectures. Inf. Dev. (2021)

17.

Slack, N., Chamber, S., Hardland, C., Harrison, A.E., Johnston, R.: Administração da Produção. Atlas, São Paulo (2002). (in Portuguese)

18.

Santos, P.H.A., Martins, R.A.: Uso do DEMATEL na Pesquisa em Engenharia de Produção: uma Análise Bibliométrica (2020). (in Portuguese)

19.

De Almeida, A.T., Almeida, J., Costa, A.P., De Almeida-Filho, A.: A new method for elicitation of criteria weights in additive models: flexible and interactive tradeoff. Eur. J. Oper. Res. 250, 179–191 (2016)MathSciNetCrossRef

20.

Sacomano, J.B., Gonçalves, R.F., Bonilla, S.H.: Indústria 4.0: conceitos e fundamentos. Editora Blucher (2018). (in Portuguese)

21.

Chae, B.K., Yang, C., Olson, D., Sheu, C.: The impact of advanced analytics and data accuracy on operational performance: a contingent resource based theory (RBT) perspective. Decis. Support Syst., 119–126 (2014)

Title: Selection of Industry 4.0 Technology to Support Lean Manufacturing from the Perspective of Enterprise Interoperability
Authors: G. R. D. N. Martins
L. F. P. Ramos
E. F. R. Loures
F. Deschamps
L. R. Loures
Publisher: Springer Nature Switzerland
Book: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
Print ISBN: 978-3-031-38164-5

Electronic ISBN: 978-3-031-38165-2

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-38165-2_54