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.
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“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]
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Cited by
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“Continuous improvement, grounded in data analysis, drives enhancements”
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Laser Scanning Application for the Enhancement of Quality Assessment in Shipbuilding Industry
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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
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