Production trend identification and forecast for shop-floor business intelligence

Authors

  • Zsolt János Viharos Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Scineces, Kende u. 13-17., 1111, Budapest, Hungary & Kecskemét College, Izsáki út 10, 6000, Kecskemét, Hungary http://orcid.org/0000-0002-9561-6857
  • Jeno Csanaki Opel Szentgotthárd Ltd., Füzesi út 15., 9970, Szentgotthárd, Hungary
  • János Nacsa Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Scineces, Kende u. 13-17., 1111, Budapest, Hungary
  • Márton Edelényi Opel Szentgotthárd Ltd., Füzesi út 15., 9970, Szentgotthárd, Hungary
  • Csaba Péntek Opel Szentgotthárd Ltd., Füzesi út 15., 9970, Szentgotthárd, Hungary
  • Kirisztián Balázs Kis Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Scineces, Kende u. 13-17., 1111, Budapest, Hungary
  • Ádám Fodor Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Scineces, Kende u. 13-17., 1111, Budapest, Hungary
  • János Csempesz Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Scineces, Kende u. 13-17., 1111, Budapest, Hungary

DOI:

https://doi.org/10.21014/acta_imeko.v5i4.417

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.

Author Biography

Zsolt János Viharos, Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Scineces, Kende u. 13-17., 1111, Budapest, Hungary & Kecskemét College, Izsáki út 10, 6000, Kecskemét, Hungary

Senior research fellow

IMEKO TC10 scientific secretary and President of the Hungarian IMEKO Member Organisation

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Published

2016-12-30

Issue

Vol. 5 No. 4 (2016)

Section

Research Papers

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