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ProSense: Verbesserung der Prognosequalität in der Feinplanung

Translated title of the contribution: ProSense - Improving the forecast quality of detailed planning
  • C. Reuter
  • , F. Brambring
  • , T. Hempel
  • , A. Gützlaff
  • RWTH Aachen University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Customer-specific process chains and increasingly dynamic market conditions pose a major challenge for manufacturing companies and especially their production planning and control processes. The research project ProSense develops solutions for a production control in the context of Industrie 4.0. An analysis of the variance between planned and actual production data improves the planning quality. Copyright Springer-VDI-Verlag GmbH & Co. KG, Düsseldorf.

Translated title of the contributionProSense - Improving the forecast quality of detailed planning
Original languageGerman
Pages (from-to)218-223
Number of pages6
JournalWT Werkstattstechnik
Volume106
Issue number4
StatePublished - 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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