The ongoing digitalization of industrial companies requires a structured, strategic integration of digital concepts into business processes. Digital transformation (DT) requires clearly defined roadmaps that align digital technologies with business objectives. Although there are many digital maturity models (DMMs), most are industry-specific and do not address the unique characteristics of individual companies. Even SME-focused models often struggle to close the gap between current and target maturity levels, hindering effective DT implementation. This study examines the existing academic and professional literature on DMMs for SMEs and assesses digital readiness in an industrial context. From these findings, the Dynamic Adaptive Maturity Assessment Model (DAMA-AHP) was developed. It comprises 66 DT elements in six dimensions: People and Expertise, Operability, Organization, Products and Production Processes, Strategy, and Technology. DAMA-AHP incorporates the Analytic Hierarchy Process (AHP), which has been enhanced with customizable weighting at both the dimension and element levels. This enables precise alignment with the company’s priorities and the definition of customized target maturity levels that form the basis for a tailored transformation roadmap. Validation through a case study confirmed the practical value of DAMA-AHP in measuring digital maturity and defining strategic DT priorities. It provides a comprehensive, adaptable, and dynamic framework that promotes continuous improvement and sustainable competitiveness of SMEs in the evolving digital economy.

This paper presents the findings of research focused on the development of a comprehensive model for assessing the digital maturity of small and medium-sized manufacturing enterprises (SMEs) using multi-criteria decision analysis (MCDA). A systematic review of the literature was conducted to analyse the current state of digital maturity assessment models and evaluate their applicability to the SME sector. The proposed model covers critical digital dimensions relevant to SMEs, including the extent of adoption of digital technologies, the existence of supporting policies and strategies, and the integration of digital technologies into business processes. The developed model enables SMEs to benchmark their current digital maturity level with the desired goals, thus facilitating the formulation of actionable and customized digital transformation strategies. The model was validated through case studies in real production environments to ensure its practical relevance and applicability.

The ongoing digitalization of industrial companies requires a structured, strategic in-tegration of digital concepts into business processes. Digital transformation (DT) re-quires clearly defined roadmaps that align digital technologies with business objec-tives. Although there are many digital maturity models (DMMs), most are indus-try-specific and do not address the unique characteristics of individual companies. Even SME-focused models often struggle to close the gap between current and target maturity levels, hindering effective DT implementation. This study examines the ex-isting academic and professional literature on DMMs for SMEs and assesses digital readiness in an industrial context. From these findings, the Dynamic Adaptive Ma-turity Assessment Model (DAMA-AHP) was developed. It comprises 66 DT elements in six dimensions: People and Expertise, Operability, Organization, Products and Pro-duction Processes, Strategy and Technology. DAMA-AHP incorporates the Analytic Hierarchy Process (AHP), which has been enhanced with customizable weighting at both the dimension and element levels. This enables precise alignment with the com-pany's priorities and the definition of customized target maturity levels that form the basis for a tailored transformation roadmap. Validation through a case study con-firmed the practical value of DAMA-AHP in measuring digital maturity and defining strategic DT priorities. It provides a comprehensive, adaptable and dynamic frame-work that promotes continuous improvement and sustainable competitiveness of SMEs in the evolving digital economy.

The work was carried out as part of a project to improve the corrosion resistance of welded joints. The optimal selection of input parameters reduces the consumption of welded material as well as the negative impact on the environment. The samples we...