| Issue |
Int. J. Metrol. Qual. Eng.
Volume 10, 2019
|
|
|---|---|---|
| Article Number | 6 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/ijmqe/2019001 | |
| Published online | 17 June 2019 | |
Research Article
Comparison of applicable adjustment procedures for very small batches
SYMME Laboratory, University of Savoie,
BP 80439,
74944
Annecy-le-Vieux Cedex,
France
* Corresponding author: sergent@univ-smb.fr
Received:
29
April
2017
Accepted:
16
March
2019
The objective of this study is to propose and compare three methods of production process control that are voluntarily simple to implement on a machine. A mathematical formulation of the “sequence” type is used to model each method. An experimental validation is then carried out on the principle of launching a pre-production consisting of five parts machined and measured consecutively. A graphical analysis makes it possible to compare the different methods proposed and makes it possible to show the interest of the Bayesian weighted adjustment method.
Key words: Adjustment method / Bayesian weighted adjustment / process control / mass production
© D. Duret and A. Sergent, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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