Intelligent optimization and automatic scheduling system for production logistics

Abstract

The invention relates to the technical field of logistics scheduling systems, in particular to an intelligent optimization and automatic scheduling system for production logistics which comprises a logistics management system, configuration software and execution equipment. The logistics management system comprises a transport demand receiving module, a transport plan making module, a transport scheduling module, a transport execution tracking module and a transport plan self-optimization module. The transport scheduling module is used for issuing a scheduling instruction to execution equipment through configuration software according to the transport plan calculated by the transport plan compiling module; the transport plan self-optimization module updates the conveying plan in time through feedback information of the execution process, material demand change information, production field change and material return demand information, and issues and executes the transport plan again to form closed-loop management of the distribution process. A logistics management system with self-sensing, self-optimizing and self-decision functions is formed by applying the Internet of Things technology, the accuracy and rationality of a transport plan are improved, and the efficiency of a logistics execution process is improved.

Description

technical field [0001] The invention relates to a logistics scheduling system, in particular to an intelligent optimization and automatic scheduling system for production logistics, belonging to the technical field of logistics scheduling systems. Background technique [0002] Logistics management refers to planning, organizing, commanding, coordinating, controlling and supervising logistics activities according to the laws of the flow of material entities and applying the basic principles and scientific methods of management in the process of social production, so as to realize the best logistics activities. Excellent coordination and cooperation to reduce logistics costs, improve logistics efficiency and economic benefits, modern logistics management is based on system theory, information theory and cybernetics, logistics to meet certain economic, military and social requirements for the purpose, And achieve the purpose by creating time value and place value. [0003] The...

AI Technical Summary

Problems solved by technology

[0004] 1. The distribution plan is based on historical experience. It is not scientific enough, and various logistics resources have not been optimally allocated, which directly affects product costs;

[0005] 2. When the distribution demand changes, the scheduling instructions are not adjusted in time, which affects the production progress;

[0006] 3. The backlog of materials causes the workshop to increase, which affects the efficiency of workshop management

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