The development of automated technological transport systems is determined by the growing expectations and requirements placed not only on control systems, but also on diagnostic and operational status monitoring systems for equipment. This requires the implementation of increasingly sophisticated methods in these systems, including techniques based on so-called artificial intelligence. The article presents an overview of selected solutions regarding crane control systems, planning and scheduling of transport operations, and assessment of the readiness of transport equipment, based on fuzzy logic, artificial neural networks, and evolutionary algorithms.The efficiency, productivity, and quality of an industrial process are significantly the result of the automation of processes carried out at many levels of an enterprise’s operation, from the technological process itself to higher levels of supervision and management of production and the enterprise. (…)
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Source: Logistyka Magazine