Multi-factory cooperative scheduling optimization method during equipment manufacturing

Abstract

The invention relates to a multi-factory cooperative scheduling optimization method during equipment manufacturing. The method is a multi-agent and improved ant colony algorithm-based scheduling model and algorithm and is characterized by comprising the following steps of: establishing a multi-agent-based scheduling system model framework; introducing a genetic algorithm into the ant colony optimization process and establishing the improved ant colony algorithm to support the scheduling decisions of the agents and determine production equipment, a processing order and processing time for each workpiece task of a manufacturing system. The method has the advantages of optimizing the target, shortening the completion time of the workpiece task, improving the utilization rate and production efficiency of the equipment along with simple operation, high convergence rate and high convergence performance; moreover, the method is suitable for a multi-factory cooperative manufacturing process and the common production process of the common manufacturing enterprise as well, realizes coordination among a plurality of manufacturers producing the same product during the manufacturing by optimal task allocation and scheduling, has a wide application range and is suitable for popularization and application.

Description

1. Technical field: [0001] The invention belongs to the technical field of automation, and relates to a production scheduling method for a mechanical equipment manufacturing enterprise, in particular to an intelligent optimization method for collaborative scheduling among multiple factories in the process of equipment manufacturing. 2. Background technology: [0002] The production scheduling link is the core of the production management of equipment manufacturing enterprises, and it is also the most cumbersome and difficult link in the entire enterprise management. The production scheduling problem can generally be described as: a work that can be decomposed, under certain constraints, how to arrange the resources occupied by its components (operations), processing time and sequence, so as to obtain the optimal production time or cost, etc. excellent. Due to the dynamic nature of the production environment, the diversity of knowledge in the production field, and the comple...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the deficiencies of the existing production scheduling method in the manufacturing process, which cannot effectively deal with the coordination and coordination between the manufacturing plants in the complex product manufacturing process, cannot make rational use of resources, and is difficult to achieve the optimal overall performance of the product manufacturing process, a simple-to-operate method is proposed. , easy to implement, aiming to achieve the best overall performance of the manufacturing process, and can quickly obtain an effective multi-factory collaborative production scheduling scheme, an optimization method for multi-factory collaborative production scheduling in the complex product manufacturing process

Images