Production
https://prod.org.br/article/doi/10.1590/0103-6513.20210082
Production
Thematic Section - Advances in Production Research

Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements

Kássio Cabral Pereira dos Santos; Eduardo de Freitas Rocha Loures; Osiris Canciglieri Junior; André Luiz Micosky

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Abstract

Paper aims: Diagnostic analysis of PLM (Product Lifecycle Management) based on Industry 4.0 requirements supported by the AHP (Analytic Hierarchy Process) method.

Originality: The literature review found no research papers on PLM Maturity Models linked to requirements of Industry 4.0, attesting to the originality of the research and the topic proposed by the study.

Research method: The analysis is performed using an assessment framework that organizes and lists I4.0 attributes and PLM categories, supported by a multicriteria diagnostic assessment model based on the AHP method. The case study used in the research is an automotive industry located in the city of Curitiba, Brazil.

Main findings: A diagnostic analysis of the PLM categories and attributes of the I4.0 was performed, and the company’s overall levels of maturity were observed.

Implication for theory and practice: The results obtained from the diagnostic analysis indicate that the company maturity is Level 2, analyses were also undertaken with respect to PLM categories and Industry 4.0 attributes. Proposals for improvements were made with the objective of increasing the level of maturity and reducing gaps and problems identified in the diagnostic assessment.

Keywords

PLM, I4.0, Maturity model, AHP

References

Adams, B. (2019). Creative decisions foundation, super decisions (Version 2.10) [Software]. Retrieved in 2021, July 5, from http://www.superdecisions.com

Batenburg, R., Helms, R. W., & Versendaal, J. (2006). PLM roadmap: stepwise PLM implementation based on the concepts of maturity and alignment. International Journal of Product Lifecycle Management, 1(4), 333-351. http://dx.doi.org/10.1504/IJPLM.2006.011053.

Cestari, J. M. A. P., Loures, E. D. F. R., & Santos, E. A. P. (2018). A method to diagnose public administration interoperability capability levels based on multi-criteria decision-making. International Journal of Information Technology & Decision Making, 17(1), 209-245. http://dx.doi.org/10.1142/S0219622017500365.

Coelho, P. M. N. (2016). Rumo à Indústria 4.0 (Dissertação de mestrado). Curso de Engenharia Mecânica, Universidade de Coimbra, Coimbra.

Grieves, M. (2006). Product lifecycle management: driving the next generation of lean thinking. New York: McGraw-Hill.

Kagermann H., Walhster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. München: Acatech-Deutsche Akademie der Technikwissenschaften. Final report of the Industrie 4.0 Working Group.

Kärkkäinen, H., Pels, H. J., & Silventoinen, A. (2012). Defining the customer dimension of PLM maturity. IFIP International Conference on Product Lifecycle Management, 388:623-634. http://dx.doi.org/10.1007/978-3-642-35758-9_56.

Lee, J., Bagheri, B., & Kao, H.-A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23. http://dx.doi.org/10.1016/j.mfglet.2014.12.001.

Leyh, C., Bley, K., Schäffer, T., & Bay, L. (2017). The application of the maturity model SIMMI 4.0 in selected enterprises. In Proceedings of the 23th Americas Conference on Information System (pp. 1-10). Boston: AMCIS.

Li, J. (2015). Big Data in PLM. The International Journal of Advanced Manufacturing Technology, 81(1-4), 667-684.

Ma, Y. S., & Fuh, J. Y. H. (2008). Product lifecycle modelling, analysis and management. Computers in Industry, 59(2-3), 2-3, 107-109. http://dx.doi.org/10.1016/j.compind.2007.06.005.

Rozenfeld, H. (2009). Remanufacturing on a framework for integrated technology and product-system lifecycle management (ITPSLM). In Proceedings of the 19th CIRP Design Conference–Competitive Design. Cranfield: University Press.

Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., &Harnisch, M. (2015). Industry 4.0: the future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89.

Saaty, T. L. (2000). Decision making for leaders. Pittsburg, USA: WS. Publications.

Salkin, C., Oner, M., Ustundag, A., & Cevikcan, E. (2018). A conceptual framework for Industry 4.0. In A. Ustundag & E. Cevikcan. Industry 4.0: managing the digital transformation (pp. 3-23). Cham: Springer. http://dx.doi.org/10.1007/978-3-319-57870-5_1.

Santos, K. C. P., Loures, E. F. R., Junior, O. C., & Santos, E. A. P. (2018, July). Product lifecycle management maturity models in Industry 4.0. In P. Chiabert, A. Bouras, F. Noël, & J. Ríos (Eds.), Product Lifecycle Management to Support Industry 4.0. PLM 2018. IFIP Advances in Information and Communication Technology (pp. 659-669). Cham: Springer. IFIP Advances in Information and Communication Technology. http://dx.doi.org/10.1007/978-3-030-01614-2_60.

Savino, M. M., Mazza, A., & Ouzrout, Y. (2012). PLM maturity model: a multi-criteria assessment in southern Italy companies. International Journal of Operations and Quantitative Management, 18(3), 159-180.

Schuh, G., Anderl, R., Gausemeier, J., ten Hompel, M., & Wahlster, W. (2020). Industrie 4.0 maturity index. Managing the digital transformation of companies. Munich: Herbert Utz.

Schuh, G., Rozenfeld, H., Assmus, D., & Zancul, E. (2008). Process oriented framework to support PLM implementation. Computers in Industry, 59(2-3), 210-218. http://dx.doi.org/10.1016/j.compind.2007.06.015.

Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia Cirp, 52, 161-166. http://dx.doi.org/10.1016/j.procir.2016.07.040.

Silventoinen, A., Papinniemi, J., & Lampela, H. (2009). A roadmap for product lifecycle management implementation in SMEs. In The XX ISPIM Conference. USA: Springer.

Stark, J. (2006). Product lifecycle management. In L. Stehn & M. Bergström. Product lifecycle management (Vol. 2, pp. 1-35). Cham: Springer.

Stark, J. (2011). Decision engineering: product lifecycle management: 21st century paradigm for product realization. USA: Springer.

Stehn, L. A. R. S., & Bergström, M. A. X. (2002). Integrated design and production of multistory timber frame houses–production effects caused by customer-oriented design. International Journal of Production Economics, 77(3), 259-269. http://dx.doi.org/10.1016/S0925-5273(00)00153-5.

Yongxin, L., Deschamps, F., Loures, E., & Ramos, L. (2017). Past, present and future of Industry 4.0 – a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609-3629.

Zancul, E. D. S. (2009). Gestão do ciclo de vida de produtos: seleção de sistemas PLM com base em modelos de referência (Tese de doutorado). Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos.

Zhang, H., Bouras, A., Sekhari, A., Ouzrout, Y., & Yu, S. (2014). A PLM components monitoring framework for SMEs based on a PLM maturity model and FAHP methodology. The Journal of Modern Project Management, 2(1), 108-119.

Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: a review. Engineering, 3(5), 616-630. http://dx.doi.org/10.1016/J.ENG.2017.05.015.
 


Submitted date:
07/05/2021

Accepted date:
12/22/2021

620fd51fa9539543636e8de5 production Articles
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