Application of lean management tools in industry 4.0: a systematic review
Article Sidebar
Main Article Content
صندلی اداریAbstract
The concept of Industry 4.0 is very recent and has not been fully consolidated, and, for this reason, comprehensive implementations by the industrial sector may not be prudent. Studies show that only fundamentals of Industry 4.0 do not guarantee characteristics such as quality, for example, in production processes. Thus, lean production concepts are probably being used together to cover deficiencies in Industry 4.0. In this work, a literature review is proposed that points out where lean production tools are being used in the production processes of Industry 4.0. Using the results of this search, an analysis of the most important lean production tools, which appear in the works, has been made. The analysis has shown what is being used, in terms of the lean tools, in the production processes of Industry 4.0, and what improvements are provided from these tools.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
1. Proposal of Policy for Free Access Periodics
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 that allows the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in an institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
Proposal of Policy for Periodic that offer Postponed Free Access
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 [SPECIFY TIME HERE] after the publication, allowing the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
d. They allow some kind of open dissemination. Authors can disseminate their articles in open access, but with specific conditions imposed by the editor that are related to:
Version of the article that can be deposited in the repository:
Pre-print: before being reviewed by pairs.
Post-print: once reviewed by pairs, which can be:
The version of the author that has been accepted for publication.
The editor's version, that is, the article published in the magazine.
At which point the article can be made accessible in an open manner: before it is published in the magazine, immediately afterwards or if a period of seizure is required, which can range from six months to several years.
Where to leave open: on the author's personal web page, only departmental websites, the repository of the institution, the file of the research funding agency, among others.
References
Amaral, T. G., Oka, L. G., & Camargo Filho, C. A. B. (2018) Mathematical analysis for the diagnosis of the Lean Construction implementation stage. REEC – Revista Eletrônica de Engenharia Civil, 14(2). DOI: 10.5216/reec.v14i2.49629.
Bento, G. S., Gomes, G., & Tontini, G. G. (2019) O impacto da cultura organizacional no sucesso do Lean Manufacturing: uma análise sócio-bibliométrica. GEPROS - Gestão da Produção, Operações e Sistemas, 14(4), 49-68. DOI: 10.15675/gepros.v14i4.2288.
Besutti, V. C. M., Machado, V. C., & Cecconello, I. (2019) Development of an open source-based manufacturing execution system (MES): industry 4.0 enabling technology for small and medium-sized enterprises. Scientia cum Industria, 7(2), 1-11. DOI: 10.18226/23185279.v7iss2p1.
Dallasega, P., Revolti, A., Sauer, P. C., Schulze, F., & Rauch, E. (2020) BIM, Augmented and Virtual Reality empowering Lean Construction Management: a project simulation game. Procedia Manufacturing, 45, 49-54. DOI: 10.1016/j.promfg.2020.04.059.
Filser, L. D., Silva, F. F., & Oliveira, O. J. (2017) State of research and future research tendencies in lean healthcare: a bibliometric analysis. Scientometrics, 112(2), 799-816. DOI: 10.1007/s11192-017-2409-8.
Huang, Z., Kim, J., Sadri, A., Dowey, S., & Dargusch, M. S. (2019) Industry 4.0: Development of a multi-agent system for dynamic value stream mapping in SMEs. Journal of Manufacturing Systems, 52, 1-12. DOI: 10.1016/j.jmsy.2019.05.001.
Lauria, M., & Azzalin, M. (2019) Progetto e manutenibilità nell'era di Industria 4.0. Techne, 18, 184-190. DOI: 10.13128/techne-7525.
Lugert, A., Völker, K., & Winkler, H. (2018) Dynamization of Value Stream Management by technical and managerial approach. Procedia CIRP, 72, 701-706. DOI: 10.1016/j.procir.2018.03.284.
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med, 6(7). Doi: 10.1371/journal.pmed.1000097.
Pagliosa, M., Tortorella, G. L., & Ferreira, J. C. E. (2019) Industry 4.0 and Lean Manufacturing: A systematic literature review and future research directions. Journal of Manufacturing Technology Management, 32(3), 237-242. DOI: 10.1108/JMTM-12-2018-0446.
Rafiq, A., Masse, C., Jituri, S., Doucette, J., & Mertiny, P. (2017) Alberta Learning Factory for training reconfigurable assembly process value stream mapping. Procedia Manufacturing, 23, 237-242. DOI: 10.1016/j.promfg.2018.04.023.
Oliveira, R. P., Stefenon, S. F., Branco, N. W., Oliveira, J. R., & Rohloff, R. C. (2016) Lean Manufacturing in Association to the Industrial Automation: Case Study Applied to Furniture Industry. Espacios, 38, 17.
Sony, M. (2020) Design of cyber physical system architecture for industry 4.0 through lean six sigma: conceptual foundations and research issues. Production & manufacturing research. Taylor & Francis Group, 8(1), 158–181. DOI: 10.1080/21693277.2020.1774814.
Rosienkiewicz, M., Kowalski A. R., Helman, J., & Zbieć, M. (2018) Development of Lean Hybrid Furniture Production Control System based on Glenday Sieve, Artificial Neural Networks and Simulation Modeling. Drvna Industrija, 69(2), 163 (11). DOI: 10.5552/drind.2018.1747.
Tortorella, G. L., Rossini, M., Costa, F., Staudacher, A. P., & Sawhney, R. (2019) A comparison on Industry 4.0 and Lean Production between manufacturers from emerging and developed economies. Total Quality Management & Business Excellence. DOI: 10.1080/14783363.2019.1696184.
Souza, S. S., Santiago, S. B., Soares Filho, A. M. F., Mendonça, M. B., & Oliveira, F. L. (2020) Metanálise dos modelos de maturidade da indústria 4.0. Interciencia, 45(8).
Ustundag, A., & Cevikcan, E. (2018) Industry 4.0: Managing The Digital Transformation. Springer International Publishing Switzerland. DOI: 10.107/978-3-319-57870-5.
Villalba-Díez, J., Molina, M., Ordieres-Meré, J., Sun, S., Schmidt, D., & Wellbrock, W. (2020) Geometric Deep Lean Learning: Deep Learning in Industry 4.0 Cyber–Physical Complex Networks. Sensors, 20, 763. DOI: 10.3390/s20030763.