Measurement and control of processing information in a flow shop
Effective measurement of processing information in a flow shop is the prerequisite for implementing processing batch decision-making.Current research on information control of multivariate and small-batch production mainly focuses on optimizing the production technology and paradigms or intelligent algorithms.However,only a few studies have investigated the relationship between processing batches and the information required for static control,leading to research conclusions that are difficult to directly guide actual production.Considering the limitations of the above-mentioned research,this article first defines the information entropy function of batch processing in the flow shop from the perspective of the information theory.This function is then constructed,and its characteristics are analyzed,confirming that this function is monotonically decreasing.By constructing the processing batch information measurement model for a flow shop,the composition structure of the processing batch information for the production line is theoretically determined for the first time and measurement of the amount of information required for a job processing batch is achieved.An empirical study on the actual production line of reducer parts was conducted to verify the developed entropy models.Different relationships between different parameters and processing batch changes are drawn by applying the observation data,such as average adjustment preparation,average processing,and completion times,to develop the processing batch information measurement model.Additionally,the optimal processing batch for the actual production line is obtained under relevant parameter conditions.Based on the results acquired,some countermeasures are proposed to effectively reduce the amount of information required for managing and controlling the production line,which verifies the scientific nature and effectiveness of the developed entropy models and provides realistic guidance for batch decision-making in actual production.
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