Sustainable service oriented equipment maintenance management of steel enterprises using a two-stage optimization approach

• Equipment maintenance management is essential for steel enterprises to provide sustainable production services. However, few studies have considered the equipment maintenance scheduling of steel enterprises due to the characteristics of large-scale and complex constraints. This study analyses the characteristics of equipment maintenance scheduling in the steel industry and incorporates multiple complex constraints into a mathematical model. To find an optimal or near optimal solution, a two-stage optimization approach is developed that introduces the rule-based prescheduling method to quickly obtain a reasonable maintenance plan in the first stage and employs a modified genetic algorithm to further optimize the prescheduling maintenance plan in the second stage. The case of Baowu Steel is used for verification and the experimental results demonstrate the superiority and effectiveness of the proposed optimization approach, which improves the comprehensive performance by 40.3% on the basis of prescheduling.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Equipment maintenance; Steel enterprises; Complex constraints; Two-stage optimization approach

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