Self-adapting selection dynamic production scheduling control system accomplished through computer

Abstract

A self-adaptive selection dynamic production scheduling control system, which is realized via a computer, is characterized in that: the system comprises a system emulator, a learning machine, a decision-making machine, a scheduling rules base, a scheduling knowledge base, a carrier, processing equipments and a buffer station thereof; the buffer station is provided with an optical grating, a sensor and a detection equipment; when a working piece reaches the buffer station and is processed, the learning machine detects the current system status for learning, so as to acquire dynamic scheduling knowledge about the system and update the knowledge in the scheduling knowledge base; when one processing equipment needs to be scheduled, the decision-making machine reads corresponding scheduling knowledge in the scheduling knowledge base according to the detected system status, acquires new scheduling knowledge through continuous interactive learning with the processing system, dynamically selects the scheduling rules based on the status of the processing equipments and the working piece in the system, and chooses the optimized scheduling rules to schedule the processing equipments. The invention can adapt to instable time-varying workshop dynamic production environments, obtain a better working-piece arrangement than prior rule-based scheduling technology, effectively reduce the process waiting time, and improve the fill rate of product delivery time.

Description

technical field [0001] The invention relates to the fields of computer integrated manufacturing technology and automation technology, in particular to an adaptive selection dynamic production scheduling control system realized by a computer. Background technique [0002] The production scheduling realized by computer is to allocate the set of processing parts to an available set of processing equipment by computer in order to meet a set of performance indicators. Specifically, the scheduling task is to determine the processing sequence and processing time of workpieces on related equipment under the limited resource constraints of the workshop, so as to ensure the optimal execution time or cost target of production tasks. According to different factors such as the characteristics of workpieces arriving at the workshop and the changes in the workshop environment, the production scheduling systems implemented by computers can be divided into two categories: static scheduling s...

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Problems solved by technology

[0006] 3) Other events, including changes in product demand, defective raw materials, delays in raw materials, and operational errors related to operators, etc.

However, the training time of this method is long, and the interpretation ability of the results is poor. As the scale of the problem increases, the network structure will become more complex, and there are also disadvantages that it is difficult to obtain training samples.

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