Reducing non-quality impact on production flow in workshops having a high reworks rate. Application to a high quality lacquered furnitures manufacturer

Reducing non-quality impact on production flow in workshops having a high reworks rate. Application to a high quality lacquered furnitures manufacturer

Mélanie Noyel Emmanuel Zimmermann Philippe Thomas André Thomas Patrick Charpentier

Université de Lorraine, CRAN, UMR 7039, Campus Sciences, BP 70239, 54506 Vandoeuvre-lès-Nancy cedex, France

CNRS, CRAN, UMR7039, France

Acta-Mobilier, parc d’activité Macherin Auxerre Nord 89270 Monéteau

Corresponding Author Email: 
{philippe.thomas ; andre.thomas ; patrick.charpentier}@univ-lorraine.fr, {mnoyel ; ezimmermann}@acta-mobilier.fr
Page: 
181-200
|
DOI: 
https://doi.org/10.3166/JESA.49.181-200
Received: 
15 June 2015
|
Accepted: 
10 November 2015
|
Published: 
30 April 2016
| Citation

OPEN ACCESS

Abstract: 

Quality policy has an impact on the production flows control by the way of the reworks rate. The using of a quality management approach, as TQM, is useful but however often inadequate. The proposed approach must be seen as a supplement to such quality management. This approach is broken down into two steps. The goal of the first one is to reduce the reworks rates by tuning optimally and on line the process in function of the lot characteristics and the values of the environmental factors. This tuning uses a model linking the different influent factors with the default occurrence. This model is extracted from the production dataset by using a learning approach. It is used to simulate an experimental design in order to find the optimal tuning of the controllable parameters. The second step evaluates the impact of the residual reworks rates on the production flows. It uses a combination of different indicators in order to obtain a cartography of the considered workshop that highlights different workshop behavior areas. The final goal is to associate the good production control rule to each of these areas. All this approach is applied to the case of a manufacturer of high-finished lacquered panels.

Keywords: 

reworks, flows perturbation, indicator, simulation, quality, neural network, learning, knowledge extraction, cartography

1. Introduction
2. Contexte et enjeux
3. Management en ligne de la qualité
4. Impact des taux de reprises sur les flux
5. Cas d’étude
6. Conclusion
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