Assistenzsystem zur Diagnose in der Produktionslogistik: Konzeption und Aufbau modellunterstützter Regeln

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Matthias Elsweier
  • Peter Nyhuis
  • Rouven Nickel

External Research Organisations

  • Institut für integrierte Produktion Hannover (IPH)
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Details

Translated title of the contributionAssistance system for diagnostics in production logistics
Original languageGerman
Pages (from-to)562-568
Number of pages7
JournalZeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online)
Volume105
Issue number6
Publication statusPublished - Jun 2010

Abstract

Design and configuration of model-based rules. Disruptions in production with negative impact on the objectives of production logistics need to be identified and resolved. Small and medium sized enterprises (SMEs) often lack of sufficient human capital to control the logistic relations in production and thus to realize a targeted improvement of a logistic process. Moreover, a profound knowledge about the complex relations between logistic objectives and measures against interferences in production is often missing. The missing knowledge of coherences may explain why aspired logistic objectives in SMEs are often not achieved [1]. This article introduces an approach for diagnosing interferences in production logistics and deriving recommendations for measures using an assistance system developed at the IPH - Institute of Integrated Production Hannover gGmbH.

ASJC Scopus subject areas

Cite this

Assistenzsystem zur Diagnose in der Produktionslogistik: Konzeption und Aufbau modellunterstützter Regeln. / Elsweier, Matthias; Nyhuis, Peter; Nickel, Rouven.
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online), Vol. 105, No. 6, 06.2010, p. 562-568.

Research output: Contribution to journalArticleResearchpeer review

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