Factor-Based Analysis of Certification Validity in Engineering Safety
Baigereyev S. Konurbayeva Z. Kulisz M. Rakhmetullina S. Mashekenova A.
December 2025Multidisciplinary Digital Publishing Institute (MDPI)
Safety
2025#11Issue 4
Professional certification of engineers plays a crucial role in verifying competencies and ensuring the safety and quality of engineering outputs. However, most existing certification systems assign fixed validity periods (e.g., 3–5 years) without considering individual engineer characteristics or the intensity of technological progress in specific fields. This study examines the key factors influencing the optimal validity period of engineering certifications and proposes it as a measurable indicator to support safety in engineering practice. A new model is introduced that integrates expert judgment, fuzzy set theory, and bibliometric analysis of Q1/Q2 Scopus-indexed publications. The model incorporates three main factors: competence level, professional experience, and the technological intensity of the discipline. A case study from the engineering certification system of Kazakhstan demonstrates the model’s practical applicability. Certification bodies, policymakers, and engineering organizations can use these findings to establish more flexible certification validity periods, thereby ensuring timely reassessment of competencies and reducing safety risks. For example, for mechanical engineers, the optimal validity period is 3 years rather than the statutory 5 years; in other words, the model recommends a 40% reduction in certification validity. This reduction reflects the combined effects of competency level, professional experience, and technology intensity on certification renewal schedules. Overall, the proposed factorial approach supports a more personalized and safety-oriented certification process and offers insights into improving national qualification systems.
competence , engineering certification , risk management , safety , validity
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International School of Engineering, D. Serikbayev East Kazakhstan Technical University, Serikbayev Str. 19, Ust-Kamenogorsk, 070003, Kazakhstan
Business School, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, 070003, Kazakhstan
Faculty of Management, Lublin University of Technology, Lublin, 20-618, Poland
School of Digital Technologies and Artificial Intelligence, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, 070003, Kazakhstan
International School of Engineering
Business School
Faculty of Management
School of Digital Technologies and Artificial Intelligence
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