A production logistics intelligent optimization and automatic scheduling system

Abstract

The present invention relates to the technical field of logistics dispatching system, in particular to an intelligent optimization and automatic dispatching system of production logistics, including a logistics management system, configuration software and execution equipment. Module, transportation execution tracking module and transportation plan self-optimization module; transportation scheduling module, used to calculate the transportation plan calculated by the transportation plan preparation module, and issue scheduling instructions to the execution equipment through configuration software; transportation plan self-optimization module, Through the feedback information of the execution process, material demand change information, production site changes and material return demand information, the delivery plan is updated in a timely manner, and the delivery plan is issued and executed again to form a closed-loop management of the delivery process. The present invention uses the Internet of Things technology to form a logistics management system with self-perception, self-optimization, and self-decision-making, which improves the accuracy and rationality of the delivery plan, and improves the efficiency of the logistics execution process.

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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