Reconfigurable production line scheduling optimization method for small-batch multiple varieties

Abstract

The invention provides a reconfigurable production line scheduling optimization method for small-batch multiple varieties, and the method comprises the steps: giving a workshop production line information ontology model construction flow according to the system concept and logic of the field of a flexible production line through combining with an ontology modeling method, and constructing a fieldontology model of the flexible production line; establishing an ontology knowledge reasoning rule base based on the SWRL language, conducting knowledge reasoning, and deducing the production conditionof a production line in combination with a workshop production line information service matching method; establishing a mathematical model for constraints of flexible job shop scheduling decisions and the current production condition of a production line, optimizing the model by using an optimization method based on a genetic algorithm in combination with a tabu search algorithm, the optimized objective function being the total machining time of a workpiece, and the optimized parameters being the machining sequence of the workpiece. According to the method, the resource allocation of a single-batch production process is optimized, the knowledge expression of manufacturing resources is realized by an ontology construction and reasoning mechanism, and the intelligent degree of a processingprocess is enhanced.

Description

technical field [0001] The invention relates to the field of production line scheduling optimization, in particular to a reconfigurable production line scheduling optimization method for small batches and multiple varieties. Background technique [0002] With the diversity of customer needs and the trend of individualization becoming more and more apparent, the production mode of multiple varieties, small batches, and individualization in the current manufacturing industry has gradually become the mainstream. Compared with the traditional manufacturing mode, the multi-variety and small-batch production mode has obvious advantages in sensing market changes and manufacturing agility. The multi-variety and small-batch production mode has the following characteristics: 1) Discrete manufacturing mode. Products manufactured in small batches of multiple varieties are usually assembled from multiple parts, which belongs to a typical discrete manufacturing mode. 2) Order-driven pro...

AI Technical Summary

Problems solved by technology

3) Processing time is strict

However, most enterprises often affect production due to insufficient supply

4) Progress control is difficult

Due to the uncertainty of market demand, order specifications, delivery time and other factors, the process flow and related indicators are often changed, resulting in unexpected events such as urgent tasks and uncertain completion times.

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