The DOI matches its Crossref record; 23 of the 25 references it cites were found in a registry or an index.
Digital Standardization of Lean Manufacturing Tools According to Industry 4.0 Concept
Open accessAbstract
Standardization is a key element in the effective use of lean manufacturing methodologies and tools for achieving process sustainability. Their combination is conducive to eliminating waste and improving the efficiency of production processes and guarantees the company that employees use the most efficient tools and do not waste time on unnecessary activities. These activities can be further improved by using digital solutions, in accordance with the concept of Industry 4.0. Therefore, the authors have developed the e-Lean system, whose task is to digitize selected lean manufacturing tools. The subject of this work is analysis of the functionality and effectiveness of the essential part of the e-Lean system in the form of specialized TPM (Total Productive Maintenance) software as an application. During implementation in a construction production company, the TPM application was tested by lean manufacturing and maintenance specialists. The research consisted of assessing the functionality and efficiency of processes in relation to conventional TPM solutions. Additional functionalities of the e-Lean system have been confirmed, such as systemic approval of machinery inspection, which requires passing all necessary steps at individual inspection points, direct access for supervisors to the results of inspection activities and their status, direct and easy access to photographic documentation of machines added during inspection both in optimization of working time and its course (e.g., the optimal number of steps taken by the employee during the inspection), as well as an efficient system of motivating employees (collecting points). The improvement in the effectiveness of processes was determined by measuring the control times for three control points (polymerization furnace, packing area, and defibering machines). The average control time was reduced from 16,200 to 13,923 s. Thus, thanks to the use of the application, it was found that the efficiency of using the TPM tool was increased by approx. 15% compared to previously used non-digital solutions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The amalgamation of these methodologies entails the creation of a systematic approach, guiding workers toward the accurate selection of items and quantities with minimal room for error.”
From Poka Yoke in Smart Production Systems with Pick-to-Light Implementation to Increase Efficiency (2023) · cites this paper as [36]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sima, V., Gheorghe, I. G., Subić, J., & Nancu, D. (2020) · Sustainability · doi:10.3390/su12104035 · Cited by 871
Lean Automation enabled by Industry 4.0 Technologies
Kolberg, D., & Zühlke, D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.359 · Cited by 617
Núñez‐Merino, M., Marín, J. M. M., Moyano‐Fuentes, J., & Martínez‐Jurado, P. J. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1743896 · Cited by 429
Lean implementation within SMEs: a literature review
Hu, Q., Mason, R., Williams, S. J., & Found, P. (2015) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2014-0013 · Cited by 275
Realyvásquez-Vargas, A., Arredondo-Soto, K. C., Carrillo-Gutiérrez, T., & Ravelo, G. (2018) · Applied Sciences · doi:10.3390/app8112181 · Cited by 193
‘Lean 4.0’: How can digital technologies support lean practices?
Cifone, F. D., Hoberg, K., Holweg, M., & Staudacher, A. P. (2021) · International Journal of Production Economics · doi:10.1016/j.ijpe.2021.108258 · Cited by 151
Predictive Maintenance 4.0 as next evolution step in industrial maintenance development
Poór, P., Basl, J., & Ženíšek, D. (2019) · International Research Conference on Smart Computing and Systems Engineering (SCSE) · doi:10.23919/scse.2019.8842659 · Cited by 66
Industry 4.0 and Lean Six Sigma Integration: A Systematic Review of Barriers and Enablers
Macias-Aguayo, J., Garcia-Castro, L., Barcia, K., McFarlane, D., & Abad-Morán, J. (2022) · Applied Sciences · doi:10.3390/app122211321 · Cited by 64
From Lean Production to Lean 4.0: A Systematic Literature Review with a Historical Perspective
Vilda, F. G., Yagüe‐Fabra, J. A., & Torrents, A. S. (2021) · Applied Sciences · doi:10.3390/app112110318 · Cited by 62
Nallusamy, S., & TJPRC (2018) · International journal of mechanical and production engineering research and development · doi:10.24247/ijmperdfeb2018123 · Cited by 55
Adesta, E. Y. T., Prabowo, H. A., & Agusman, D. (2018) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/290/1/012024 · Cited by 54
Tortorella, G. L., Saurin, T. A., Fogliatto, F. S., Tlapa, D., Moyano‐Fuentes, J., Gaiardelli, P., Seyedghorban, Z., Vassolo, R. S., Vergara, A., Vijaya Sunder, M., et al. (2022) · Production Planning & Control · doi:10.1080/09537287.2022.2083996 · Cited by 54
Hardt, F., Kotyrba, M., Volná, E., & Jarušek, R. (2021) · Applied Sciences · doi:10.3390/app11156953 · Cited by 53
Hoellthaler, G., Braunreuther, S., & Reinhart, G. (2018) · Procedia CIRP · doi:10.1016/j.procir.2017.12.255 · Cited by 48
Nurprihatin, F., Angely, M., & Tannady, H. (2019) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.22105/jarie.2019.199037.1104 · Cited by 47
Industry 4.0 Enhanced Lean Manufacturing
Lai, N. Y. G., Wong, K. H., Halim, D., Lu, J., & Kang, H. S. (2019) · International Conference on Industrial Technology and Management (ICITM) · doi:10.1109/icitm.2019.8710669 · Cited by 46
The Role of Managerial Commitment and TPM Implementation Strategies in Productivity Benefits
Díaz-Reza, J. R., García-Alcaráz, J. L., Avelar-Sosa, L., Mendoza-Fong, J. R., Diez-Muro, J. C. S., & Blanco‐Fernández, J. (2018) · Applied Sciences · doi:10.3390/app8071153 · Cited by 33
Singh, S., Agrawal, A., Sharma, D. K., Saini, V., Kumar, A., & Praveenkumar, S. (2022) · Inventions · doi:10.3390/inventions7040119 · Cited by 33
Identification of total productive maintenance barriers in Indian manufacturing industries
Rathi, R., Singh, M., Sabique, M., Amin, M. A., Saha, S., & Krishnaa, M. H. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2021.05.222 · Cited by 23
An Approach to Supporting the Selection of Maintenance Experts in the Context of Industry 4.0
Patalas‐Maliszewska, J., & Kłos, S. (2019) · Applied Sciences · doi:10.3390/app9091848 · Cited by 21
Smart Lean Manufacturing in the Context of Industry 4.0: A Case Study
Ramadan, M., & Salah, B. (2019) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.2643522 · Cited by 19
Relationships between selected lean management tools and innovations
Wolniak, R. (2014) · Cited by 5
Hardt, F., Kotyrba, M., Volná, E., & Bradáč, V. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-15-1465-4_55 · Cited by 1
Research works printed but not linked: 6
- Rose, A.N.M., Deros, B.M., and Rahman, M.N.A. (2009, January 29). A review of lean manufacturing practices in small and medium enterprises. Proceedings of the Seminar 3—AMReG 09, Kajang, Malaysia.
- Kruczek, 2018, Conditions for implementing the concept of Lean Management in the SME sector, Sci. J. Sil. Univ. Technol. Organ. Manag., 120, 257
- The Productivity Press Development Team (2008). Standard Work for the Shopfloor, Productivity Press.
- 2013, Application of work standardization to improve production efficiency. Department of Production Engineering, Sci. J. Pozn. Univ. Technol. Organ. Manag., 61, 61
- Sgarbossa, F., Peron, M., and Fragapane, G. (2020). Scheduling in Industry 4.0 and Cloud Manufacturing, Springer.
- Mohanty, S., Rath, K.C., and Jena, O.P. (2022). Industrial Transformation, CRC Press.
Cited by
Sorted by citations
Sarker, M. R., Islam, M., Marma, U. A. S., Alam, M. M., Shabur, M. A., & Rahman, M. S. (2024) · Discover Sustainability · doi:10.1007/s43621-024-00484-z · Cited by 24
Poka Yoke in Smart Production Systems with Pick-to-Light Implementation to Increase Efficiency
Trojanowska, J., Husár, J., Hrehova, S., & Knapčíková, L. (2023) · Applied Sciences · doi:10.3390/app132111715 · Cited by 23
“Continuous improvement, grounded in data analysis, drives enhancements”
BackgroundTariq, B., Benabbou, R., Mouatassim, S., & Benhra, J. (2024) · International journal of production management and engineering · doi:10.4995/ijpme.2024.21473 · Cited by 13
Laser Scanning Application for the Enhancement of Quality Assessment in Shipbuilding Industry
Bertagna, S., Braidotti, L., Bucci, V., & Marinò, A. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.01.127 · Cited by 10
Zvolánková, S. S., & Krajčík, V. (2024) · Equilibrium Quarterly Journal of Economics and Economic Policy · doi:10.24136/eq.3344 · Cited by 9
Metadata
- Authors
- Medyński, D., Bonarski, P., Motyka, P., Wysoczański, A., Gnitecka, R., Kolbusz, K., Dąbrowska, M., Burduk, A., Pawelec, Z., & Machado, J.
- Affiliations
- Witelon Collegium State University (PL)
- Wrocław University of Science and Technology (PL)
- University of Minho (PT)
- Corresponding author
- Machado, José
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2023-05-20
- Volume
- 13
- Issue
- 10
- Pages
- 6259
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W4377290726
- Cited by
- 43
- References
- 25
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 17 · 2023: 4
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc-nd)
- Funders
- Fundação para a Ciência e Tecnologia (UIDP/04077/2020, UIDB/04077/2020)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Keywords
- lean manufacturing, Industry 4.0, total productive maintenance, construction production, employee motivation, process efficiency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
