An Optimal Control Method for Compatible Workpiece Family Considering Look-ahead Distance

Abstract

The invention discloses an optimization control method of compatible work piece family considering visibility distance. The method includes the following steps: 1. obtaining an optimal Q value table through the algorithm of reinforcement learning; 2. at the (k+g)th decision-making moment, based on the observed combination state of a system, checking up the optimal Q value table, obtaining a corresponding visibility distance and a selection processing work piece family action; 3. determining whether the decision-making moment has a work piece, if the decision-making moment has a work piece, waiting for a corresponding work piece to arrive and saving the corresponding work piece to a corresponding pool of buffer, and if the decision-making moment does not have a work piece, based on the selection processing work piece family action, selecting a work piece from the corresponding work piece family, delivering the work piece to a batch machine for performing processing, and waiting until the processing is completed; then imparting k+g+1 to k+g, and returning to step 3. According to the invention, the method herein can take into consideration arrival information of future work piece when conducts optimization control of the compatible work piece family so as to ensure balanced production, increase production efficiency and reduce wastage rate of work pieces.

Description

Technical field [0001] The invention belongs to the field of production scheduling, and specifically is an optimized control method for compatible workpiece families considering the forward-looking distance. Background technique [0002] With the development of science and technology, the scale of production is gradually expanding and the complexity is getting higher and higher. Therefore, the requirements for the management, monitoring and decision-making of the production process have increased. Production scheduling is a decision-making process that allocates priority resources to different tasks within a certain period of time. It needs to optimize one or some performance indicators under the conditions of satisfying various system constraints. As the core content of modern production operations, production scheduling plays an important role in improving production efficiency, improving the utilization of production resources, and reducing production costs. Therefore, product...

AI Technical Summary

Problems solved by technology

However, in the existing optimal control methods for stochastic scheduling problems, such as some heuristic rules and meta-heuristic rules, they seldom consider the arrival information of future workpieces, and cannot make timely adjustments to the scheduling scheme according to the arrival of future workpieces. , so there is still a waste of production resources, the shortcomings of insufficient productivity

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