Data Analysis and Production Process Control - Artificial Intelligence for Sustainable and Resilient Production Systems PART IV, IFIP WG 5.7 International Conference, APMS 2021 Access content directly
Conference Papers Year : 2021

Data Analysis and Production Process Control

Yumin He
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Abstract

Production process control is an important issue. Production processes are affected by many factors and some processes are very complex. Statistical process control (SPC) can apply statistical methods to monitor and control production processes for quality improvement. SPC methods include control charts and process capability analysis. This paper presents a method for continuous production process improvement. The control flow of the proposed method is developed. The method identifies the production process to be improved, collects and verifies data, applies Xbar-R control chart analysis and process capability analysis, analyzes the causes, forms measures for improvement, and takes actions for the improvement. An application example is provided. The results of the study indicate the quality improvement of their production process. This research can provide a reference for companies to apply SPC methods and statistical tools and take process capability analysis and control chart analysis for production process control to improve the quality of production processes.
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hal-04030408 , version 1 (16-03-2023)

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Bo Yang, Yumin He, Honghao Yin. Data Analysis and Production Process Control. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.555-562, ⟨10.1007/978-3-030-85874-2_59⟩. ⟨hal-04030408⟩
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