The statistical control of the measuring process capability of vertical displacement of the head restraint - The second part: Case study

• Autorzy: Paprocka, I. , Dzięgiel, A.
• Języki publikacji: EN

Abstrakty

EN

In the paper, two techniques of the statistical process control, namely: histogram and process capability are applied to examine whether a process is statistically controllable and to identify disturbances that occur in the process. The objective is to evaluate the capability of the measuring process of vertical displacement of the head restraint. In the measuring process, forces that are used to displace the head restraint up and down are recorded. The analysis consists of checking whether the lifting and lowering forces of the head restraint belong to the required ranges of forces. The processes of displacement of the head restraint up and down are characterised by a high potential, but a poor centering. In order to improve the centering of the process, causes of defects are identified.

Słowa kluczowe

PL

statystyczna kontrola procesu; histogram; SPC; zagłówek

EN

statistical process control; histogram; SPC; head restraint

• Czasopismo: Selected Engineering Problems
• Rocznik: 2015
• Tom: nr 6
• Strony: 71--76
• Opis fizyczny: Bibliogr. 4 poz.

Twórcy

autor

Paprocka, I.

• Silesian University of Technology, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Gliwice ,

autor

Dzięgiel, A.

Bibliografia

• 1. Wosik I, Zdanek M.: System Six Sigma – studium przypadku, tom 2, Opole 2010, s. 669 – 678 (red.: Ryszard Knosala).
• 2. Paprocka I., Cyba S. Assessment of Production Capacity and Ability of Rapid Response to Changing Customer Expectations. Applied Mechanics and Materials, vo. 809-810 (2015) pp 1378-1383.
• 3. Paprocka, I, Kempa, W., Kalinowski, K.; et al. (2015): Estimation of overall equipment effectiveness using simulation programme. Materials Science and Engineering Volume: 95 , Article Number: 012155.
• 4. Kano M., Hasebe S., Hashimoto I., Ohno H.: Evolution of multivariate statistical process control: application of independent component analysis and external analysis. (Computers & Chemical Engineering, vo. 28 (2004), pp. 1157-1166.