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Modeling Patterns for Performance Analysis of Production and Safety Systems in Process Industry

Abstract : Production and safety systems are crucial in the process industry. Their performances affect significantly the industry interests. These systems have common behaviors. Such behaviors can be captured in models via modeling patterns. By reusing modeling patterns, the modeling process can be simplified and made more efficient.In this thesis, we propose a versatile set of modeling patterns. They are classified according to their purpose, which reflects what a modeling pattern works for. Modeling patterns are exhibited as a catalog. Based on reviewing numerous production and safety systems, twenty-four (24) modeling patterns are introduced. Each pattern is illustrated with a set of structured items. We propose a pattern-based methodology for performance analysis of production and safety systems.To test the applicability of proposed modeling patterns, we conducted experimental studies on a set of production and safety systems. All systems are extracted from the literature. These systems are declared to cover most of modeling difficulties. Comparisons are performed between the results obtained using modeling patterns and those reported in the literature.
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Submitted on : Tuesday, January 16, 2018 - 10:06:10 PM
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  • HAL Id : tel-01686007, version 1


Huixing Meng. Modeling Patterns for Performance Analysis of Production and Safety Systems in Process Industry. Performance [cs.PF]. Université Paris Saclay (COmUE), 2017. English. ⟨NNT : 2017SACLX074⟩. ⟨tel-01686007⟩



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