Warehouse logistics scheduling optimization method and system for digital twin textile workshop

Abstract

The invention discloses a digital twin textile workshop warehouse logistics scheduling optimization method and system. The method comprises the following steps: step (1), designing a warehouse logistics scheduling strategy according to a process for execution equipment in a textile workshop; step (2), constructing a textile workshop warehouse logistics digital twinning scene, and inputting data for simulation operation; step (3), constructing a textile workshop warehouse logistics scheduling evaluation criterion, and evaluating a simulation result; and step (4), iteratively optimizing a simulation result based on an evaluation criterion. Firstly, a textile workshop warehouse logistics scheduling evaluation criterion is constructed, and evaluation of a simulation result of a simulation operation module is completed; an iterative optimization module is designed, when the simulation result of the simulation operation module does not meet the evaluation criterion, the number of iterative optimization times is set, when the number of iterative optimization times is smaller than a set value, parameters in the strategy generation module are adjusted, operation is conducted in sequence, when the simulation result meets the evaluation criterion, iteration is ended, and otherwise, iteration is directly ended.

Description

technical field [0001] The invention belongs to the fields of electronic engineering and computer science, and in particular relates to a method and system for optimizing storage and logistics scheduling of a digital twin textile workshop. Background technique [0002] The equipment in the textile workshop has been operating at full capacity for a long time to meet the different needs of downstream customers. For this kind of continuous operation industrial site, it involves such as stacker, doffing machine, shuttle car, AGV trolley, three-dimensional warehouse And other equipment is also in a continuous and seamless operation state. When a certain link is stuck or fails, it will cause blockage to the upper and lower links, and in severe cases, it will affect production capacity. Based on this situation, it is necessary to generate and optimize the scheduling strategy for each operating equipment in the textile workshop according to the established process. The traditional s...

AI Technical Summary

Problems solved by technology

[0002] The equipment in the textile workshop is in full-load operation for a long time to meet the different needs of downstream customers. For this kind of continuous operation industrial site, it involves such as stacker, doffing machine, shuttle car, AGV trolley, three-dimensional warehouse And other equipment is also in a continuous and seamless operation state. When a certain link is stuck or fails, it will cause blockage to the upper and lower links, which will affect the production capacity in severe cases.

Based on this situation, it is necessary to generate and optimize the scheduling strategy for each operating equipment in the textile workshop according to the established process. The traditional scheduling strategy has become mature after years of research and development, but how to optimize and verify the scheduling strategy in advance? is urgent, and the traditional method is to run the strategy in a small-scale real workshop for trial and error, which leads to an increase in cost and risk factor

Images