Abstract
The article deals with the control of the operation mode of a production facility taking into consideration its actual operation conditions. Control procedure, which is based on the application of Shewhart charts for technological process characteristics, has been proposed. This procedure provides not only identification of the discrepancies in the process, but also the reasons that caused them. Construction of control charts is based on data obtained from the monitoring system and organized taking into consideration cyclic changes in the production process. This allows taking into consideration the actual operation conditions of the production facility and setting the correct standards for controlled parameters. The principles of interpretation of control charts and set of alarms about exceeding the standards, which take into consideration the nature of the influence of the controlled parameters on the production process efficiency, have been proposed. The proposed procedure has been applied to control the operation mode of the water supply pumping station. Standards for controlled technological parameters have been set taking into consideration cyclic changes in the water supply process. The description of alarms, which have been used to notify the operator of the control results, has been performed. The analysis of control charts of technological parameters enabled to determine moments of the discrepancy between the operation mode of the pumping station and the actual needs of the technological process, and to identify its reasons. The obtained results confirm the expediency of using the proposed procedure to take a decision on the need to improve the production process efficiency.
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Korobiichuk, I., Davydenko, L., Davydenko, N., Davydenko, V. (2020). Control of the Operation Mode of the Production Facility Based on the Relevant Characteristics of the Technological Process. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2020: Towards Industry of the Future. AUTOMATION 2020. Advances in Intelligent Systems and Computing, vol 1140. Springer, Cham. https://doi.org/10.1007/978-3-030-40971-5_6
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