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Скачать или смотреть Process Control Optimization for Manufacturing Production

  • MATLAB
  • 2015-03-11
  • 11410
Process Control Optimization for Manufacturing Production
MATLABSimulinkMathWorksMATLAB (Programming Language)Simulink (Software)The MathWorks (Business Operation)SchedulingManufacturing (Industry)Manufacturing Engineering (Field Of Study)ManagementTechnologyDesignEngineering (Industry)Video Production (Industry)SystemDataMicrosoft Office (Software)SystemsTrainingCustomerComputerSimEventsSimEvents MATLABMATLAB SimEventsSimulink EventsSimulink SimEventsEvent SimulationProcess Control1616046737001
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Описание к видео Process Control Optimization for Manufacturing Production

In this video, we will illustrate how to optimize the process control in manufacturing production using Global Optimization Toolbox and SimEvents®.

Learn how to:
• Model process flows for manufacturing and operations, perform capacity planning, and optimize the supply chain.
• Simulate event-driven processes, such as the execution of a mission plan or the stages of a manufacturing process, to determine resource requirements and identify bottlenecks.

Use the genetic algorithm from the Global Optimization Toolbox with SimEvents to optimize resources needed for an efficient and effective production process.

For more SimEvents Videos, visit: https://bit.ly/3Cq2BLV

SimEvents® provides a discrete-event simulation engine and component library for Simulink®. You can model event-driven communication between components to analyze and optimize end-to-end latencies, throughput, packet loss, and other performance characteristics. Libraries of predefined blocks, such as queues, servers, and switches, enable you to accurately represent your system and customize routing, processing delays, prioritization, and other operations.

With SimEvents you can design distributed control systems, hardware architectures, and sensor and communication networks for aerospace, automotive, and electronics applications. You can also simulate event-driven processes, such as the execution of a mission plan or the stages of a manufacturing process, to determine resource requirements and identify bottlenecks.

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