%0 Conference Proceedings
%T Product Quality Improvement Based on Process Capability Analysis
%+ Shanxi Aerospace Tsinghua Equipment Co., Ltd
%+ Beihang University (BUAA)
%A Zhao, Na
%A He, Yumin
%A Zhang, Mingxin
%A Cui, Gaosheng
%A Pan, Fuman
%Z Part 9: System Identification for Manufacturing Control Applications
%< avec comité de lecture
%@ 978-3-030-85873-5
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%V AICT-630
%N Part I
%P 589-595
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85874-2_63
%K Production process control;Process capability analysis;Quality improvement
%Z Computer Science [cs]Conference papers
%X Product quality is important to companies. Many factors affect the quality of products. Statistical process control (SPC) applies statistical methods to process control and can be utilized to improve the quality of products. This paper proposes an approach for product quality improvement based on problem analysis and statistical process control application. A framework is presented with the steps from problem identifying to problem solving to improve product quality. These steps include problem identification, problem analysis, SPC method determination, production analysis, cause analysis, and problem solving. A case study is made to a real manufacturing company. The proposed approach is applied to the company. The case company identified its production problem and made the actions on the production process improvement with the good result of product quality improvement. This research can provide a reference for manufacturing companies to apply SPC methods and statistical tools to production process control for product quality improvement.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-04030348/document
%2 https://inria.hal.science/hal-04030348/file/509923_1_En_63_Chapter.pdf
%L hal-04030348
%U https://inria.hal.science/hal-04030348
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-630