Operating large-scale networks, such as water, electricity, and city gas networks, as well as process plants, requires specialized decision-making in planning, operation, and maneuvering. Currently, experienced individuals handle this continuously, even in crisis situations.
Designing and implementing intelligent decision support systems, which integrate engineering models with various modules based on artificial intelligence and optimization algorithms, can be highly effective. This not only improves operational efficiency and reduces costs but also contributes to knowledge management and efficient operator training.
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Performing the process of organizational operations recognition
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Creating engineering and process models aligned with operations
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Development of optimization algorithms aligned with operational structure
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Implementation of integrated platforms for engineering analyses and optimization
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Designing training software for network operation in line with Operational Training Simulators (OTS)
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Establishing a structure for knowledge registration of experts and knowledge management
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Establishing performance evaluation structures in the field of management and operations