Maturity matrix of digital lean manufacturing
- Authors: Vagin S.S.1, Palkina E.S.1
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Affiliations:
- State Marine Technical University
- Issue: Vol 11, No 3 (2025)
- Pages: 434-449
- Section: Original studies
- URL: https://journals.rcsi.science/transj/article/view/328154
- DOI: https://doi.org/10.17816/transsyst688686
- ID: 328154
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Abstract
AIM. The aim of this study is to develop and justify a maturity matrix for digital lean manufacturing, reflecting the phased integration of digitalization and lean production tools under conditions of industrial digital transformation. Special attention is given to the application of the maturity matrix in high-tech sectors of transport engineering.
MATERIALS AND METHODS. The study is based on a phased approach to the classification of digitalization and lean manufacturing tools. Methods employed include comparative analysis, expert evaluation, logical-structural modeling, and matrix diagnostics. The assessment was carried out using a four-phase implementation model, ranging from basic realization to strategic transformation.
RESULTS. A maturity matrix for digital lean manufacturing has been developed, comprising 16 cells, each representing the degree of implementation of digital lean tools at a specific phase. The matrix makes it possible to identify maturity gaps and inconsistencies between lean and digital trajectories, and to design individualized development paths for production systems.
CONCLUSION. The proposed tool can be used for self-assessment of maturity levels both at the enterprise level in transport engineering and in industry more broadly. It supports the development of transformation roadmaps and strategic management of digital and organizational changes. The application of the matrix facilitates the coordinated and balanced development of digital lean manufacturing.
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##article.viewOnOriginalSite##About the authors
S. S. Vagin
State Marine Technical University
Author for correspondence.
Email: vaginms@yandex.ru
ORCID iD: 0009-0002-3833-4623
SPIN-code: 3582-4226
Applicant
Russian Federation, St. PetersburgE. S. Palkina
State Marine Technical University
Email: elena_palkina@hotmail.com
ORCID iD: 0000-0002-4702-3512
SPIN-code: 8447-6777
Dr. Sci. (Economics), Associated Professor
Russian Federation, St. PetersburgReferences
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