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research
Production trend identification and forecast for shop-floor business intelligence
Authors
J Csanaki
János Csempesz
+6 more
M Edelényi
Ádám Fodor
Krisztián Balázs Kis
János Nacsa
Cs Péntek
Zsolt János Viharos
Publication date
1 January 2016
Publisher
'IMEKO International Measurement Confederation'
Doi
Cite
Abstract
The paper introduces a methodology to define production trend classes and also the results to serve with trend prognosis in a given manufacturing situation. The prognosis is valid for one, selected production measure (e.g. a quality dimension of one product, like diameters, angles, surface roughness, pressure, basis position, etc.) but the applied model takes into account the past values of many other, related production data collected typically on the shop-floor, too. Consequently, it is useful in batch or (customized) mass production environments. The proposed solution is applicable to realize production control inside the tolerance limits to proactively avoid the production process going outside from the given upper and lower tolerance limits. The solution was developed and validated on real data collected on the shop-floor; the paper also summarizes the validated application results of the proposed methodology. © 2016, IMEKO-International Measurement Federation Secretariat. All rights reserved
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SZTAKI Publication Repository
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oai:eprints.sztaki.hu:8913
Last time updated on 15/06/2017
SZTAKI Publication Repository
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oai:eprints.sztaki.hu:8912
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oai:fraunhofer.de:N-422523
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oai:fraunhofer.de:N-434921
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info:doi/10.21014%2Facta_imeko...
Last time updated on 01/04/2019