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Intelligent Algorithm

Core to Development of Smart Supply Chain
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Intelligent Algorithm

Algorithm practice in the field of smart supply chain

One of the key productivity in the development of smart supply chain and guiding production with algorithms. On the basis of data interconnection and “everything is digital”, the best combination of resources, scheduling, efficiency and cost in supply chain can be achieved. 

Optimization Algorithm

Optimization is a branch of applied mathematics, which mainly studies the problem of maximizing or minimizing a specific function or variable under specific circumstances. For problems in actual production like storage space allocation problem in order sorting, effective guidance can be given by abstracting mathematical models and applying optimization algorithms to solve them.

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Deep learning algorithm

Deep learning, a branch of machine learning, is an algorithm that uses artificial neural networks as the architecture to learn features from data. Through a large amount of data, the parameters of artificial neural network are trained to have certain specific capabilities, such as target detection, speech recognition, etc., to solve certain problems in actual production, such as human efficiency calculation, automatic review, etc.

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Path planning algorithm

Path planning algorithm is one of the core technologies of intelligent mobile robots. With the aid of path planning algorithms, the robot can plan a safe and efficient operation route based on the perception of the environment by its own sensors, and realize autonomous movement, thereby freeing manpower from some heavy tasks and improving production efficiency.

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