Vocational education enhances traditional education by providing students with the advanced information and skills necessary for career success. Based on the traditional course structure, vocational education places equal emphasis on self- governance and occupational skills. This article proposes a Modularization-based Training Control Optimization (MTCO) approach to leverage the adaptability of vocational education training for market skills. This optimization approach classifies the training and its adaptability for the occupational and self-governance skills of the students. Based on the demand, the modular priority for skill-based training is pursued to provide better training efficiency. As optimization is induced for the personnel training, standard interchangeable modules based on the skills and agenda are optimized for maximum efficiency and the minimum swapping between the training sessions. The optimization uses fuzzy control to consider the current demand for personnel for modularization. This optimization relies on the modularization process’s minimum swapping criterion for maximum training efficiency in consecutive and distinct training sessions. Based on this minimum swapping, the new fuzzy control criteria are designed to prevent modularization failures and time demands.

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