Teaching-and-learning-algorithm-based static scheduling optimization system for discrete manufacturing shop

Abstract

The invention discloses a teaching-and-learning-algorithm-based static scheduling optimization system for a discrete manufacturing shop. The system comprises a data server, an operation server, and a terminal display screen. A scheduling optimization client is embedded into the operation server and is used for carrying out optimization-algorithm-based reasonable scheduling arrangement on a processing task on the day by analyzing the processing task and consulting various detailed information of the data server, wherein the specific optimization algorithm employs a teaching and learning algorithm. A generation scheduling scheme is decoded; de-compilation processing is carried out according to dual-layer definition on a student during coding; a processing tool and a processing sequence of a workpiece are expressed successively. And then the optimized scheduling scheme is displayed on a terminal display screen, so that the production staff and the management staff in the shop can obtain current specific processing task arrangement information in real time. According to the invention, with the teaching and learning algorithm, the system has advantages of fast convergence speed and high optimization searching capability and adapts to the complex situation in practical production well.

Description

technical field [0001] The invention relates to the technical field of discrete manufacturing workshop scheduling, in particular to a static scheduling optimization system for discrete manufacturing workshops based on teaching and learning algorithms. Background technique [0002] In the 21st century, the competition in the manufacturing industry is becoming increasingly fierce. Enterprises are also facing threats and challenges while gaining great room for development. The factors that determine the core competitiveness of an enterprise are reflected in the products provided by the enterprise. High-quality products, low prices, and short delivery times are required, and they can continuously adapt to the changing market and individual customer needs, which puts forward higher requirements for the production plan and balanced production of the enterprise's manufacturing workshop. In the current production process of discrete manufacturing workshops, there are problems such ...

AI Technical Summary

Problems solved by technology

In the current production process of discrete manufacturing workshops, there are problems such as too long standby time of machine tools and unreasonable parts production arrangements. Therefore, static scheduling arrangements before workshop production are very necessary. Reasonable static scheduling arrangements are conducive to improving the energy efficiency of the manufacturing process, which is in line with the needs of enterprises. core interests of

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