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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Volkova, V., Yemelyanov, A.: System Theory and System Analysis in the Management of Organizations. Finance and Statistics, Moscow (2006). (in Russian)
Šatanová, A., Figuli, L., Sedliačiková, M.: Optimization of production process through selected statistical methods. Procedia Econ. Financ. 23, 959–963 (2015). https://doi.org/10.1016/S2212-5671(15)00494-3
Gejdoš, P.: Continuous quality improvement by statistical process control. Procedia Econ. Financ. 34, 565–572 (2015). https://doi.org/10.1016/S2212-5671(15)01669-X
Montgomery, D.C.: Introduction to Statistical Quality Control. Wiley, New York (2009)
Godina, R., Pimentel, C., Silva, F.J.G., Matias, João C.O.: Improvement of the statistical process control certainty in an automotive manufacturing unit. Procedia Manuf. 17, 729–736 (2018). https://doi.org/10.1016/j.promfg.2018.10.123
Azizi, A.: Evaluation improvement of production productivity performance using statistical process control, overall equipment efficiency, and autonomous maintenance. Procedia Manuf. 2, 186–190 (2015). https://doi.org/10.1016/j.promfg.2015.07.032
Ning, X., Shang, Y., Tsung, F.: Statistical process control techniques for service processes: a review. In: Proceedings - 2009 6th International Conference on Service Systems and Service Management, pp. 927–931. https://doi.org/10.1109/ICSSSM.2009.5175015
Škulj, G., Vrabič, R., Butala, P., Sluga, A.: Statistical process control as a service: an industrial case study. Procedia CIRP 7, 401–406 (2013). https://doi.org/10.1016/j.procir.2013.06.006
Sancho, J., Pastor, J.J., Martínez, J., García, M.A.: Evaluation of harmonic variability in electrical power systems through statistical control of quality and functional data analysis. Procedia Eng. 63, 295–302 (2013). https://doi.org/10.1016/j.proeng.2013.08.224
Korobiichuk, I., Davydenko, L., Davydenko, V., Davydenko, N.: Information support the operative control procedures of energy efficiency of operation modes of municipal water supply system facilities. In: Advances in Intelligent Systems and Computing, vol. 920, pp. 571–582 (2020). https://doi.org/10.1007/978-3-030-13273-6_53
Davydenko, L., Rozen, V., Davydenko, V., Davydenko, N.: Formalization of energy efficiency control procedures of public water-supply facilities. Adv. Intell. Syst. Comput. 543, 196–202 (2017). https://doi.org/10.1007/978-3-319-48923-0_24
Davydenko, N., Korobiichuk, I., Davydenko, L., Nowicki, M., Davydenko, V.: Identification of cyclic changes in the operation mode of the production facility based on the monitoring data. In: Advances in Intelligent Systems and Computing, vol. 1044, pp. 189–197 (2020). https://doi.org/10.1007/978-3-030-29993-4_24
Woodall, W.: Controversies and contradictions in statistical process control (with discussion). J. Qual. Technol. 32, 341–378 (2000). https://doi.org/10.1080/00224065.2000.11980013
ISO 7870-2:2013 «Control charts—Part 2: Shewhart control charts». Switzerland (2013)
Wheeler, D.J.: Advanced Topics in Statistical Process Control the Power of Shewharts Charts. SPC Press, Knoxville (2004)
Hotelling, H.: Multivariate quality control, illustrated by the testing of sample bombsights. In: Techniques of Statistical Analysis, pp. 113–184. McGraw-Hill, New York (1947)
Shashkov, V.B.: Processing of Experimental Data and the Construction of Empirical Formulas. GOU OGU, Orenburg (2005). (in Russian)
Alarm and event guidance in InTouch HMI. ZAO Klinkmann Spb, Wonderware, Russia (2008). http://old.intouch.ru/support/pub/ITAlarmsAndEvents_ru_10_300408.pdf
Davydenko, L., Rozen, V., Davydenko, V., Davydenko, N.: Control of operation modes efficiency of complex technological facilities based on the energy efficiency monitoring. In: Lecture Notes in Mechanical Engineering, Advances in Design, Simulation and Manufacturing II, pp. 531–540 (2020). https://doi.org/10.1007/978-3-030-22365-6_53
Davydenko, N.V.: Formation of the relevant variables set of the energy baseline of the water supply pumping station. Tech. Sci. 187, 23–25 (2017). Transactions of Kharkiv Petro Vasylenko National Technical University of Agriculture. (in Ukrainian)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-40971-5_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-40970-8
Online ISBN: 978-3-030-40971-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)