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Achieving Higher Scheduling Accuracy in Production Control by Implementing Integrity Rules for Production Feedback Data

  • Published:2014 Issue: Volume:19 Page:142-147
  • ISSN:2212-8271
  • Container-title:Procedia CIRP
  • language:en
  • Short-container-title:Procedia CIRP

Author:

Schuh Günther,Thomas Christina,Hauptvogel Annika,Brambring Felix

Publisher

Elsevier BV

Subject

General Medicine

Reference21 articles.

1. Betriebsorganisation für Ingenieure (Enterprise organisation for engineers);Wiendahl,2008

2. Production Planning and Control: Basics and Concepts;Buzacott,2013

3. An Introduction to Database Systems;Date,2000

4. Wilkins MW. A model-theoretic approach to updating logical databases. In: Proceedings of the fifth ACM SIGACT-SIGMOD symposium on Principles of database systems. New York:ACM; 1986. p.224-234.

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1. Production Scheduling Using Production Feedback Data; An Illustrative Case Study;IFIP Advances in Information and Communication Technology;2023

2. Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback Data;IFIP Advances in Information and Communication Technology;2023

3. Enhancing data quality and process optimization for smart manufacturing lines in industry 4.0 scenarios;Proceedings of The International Workshop on Big Data in Emergent Distributed Environments;2022-06-12

4. Data Quality Assessment to Apply Process Mining in Production Processes;Lecture Notes in Production Engineering;2021-09-05

5. Smart Digital Twin for ZDM-based job-shop scheduling;2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT);2021-06-07
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