Corpus ID: 14461305

Data Mining-driven Manufacturing Process Optimization

@inproceedings{Grger2012DataMM,
  title={Data Mining-driven Manufacturing Process Optimization},
  author={Christoph Gr{\"o}ger and F. Niedermann and B. Mitschang},
  year={2012}
}
  • Christoph Gröger, F. Niedermann, B. Mitschang
  • Published 2012
  • Engineering
  • High competitive pressure in the global manufac- turing industry makes efficient, effective and continuously improved manufacturing processes a critical success factor. Yet, existing analytics in manufacturing, e. g., provided by Manufacturing Execution Systems, are coined by major short- comings considerably limiting continuous process improvement. In particular, they do not make use of data mining to identify hidden patterns in manufacturing-related data. In this article, we present… CONTINUE READING
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    References

    SHOWING 1-10 OF 45 REFERENCES
    Supporting manufacturing design by analytics, continuous collaborative process improvement enabled by the advanced manufacturing analytics platform
    • 17
    Data Mining in Manufacturing: A Review
    • 445
    • PDF
    Deep Business Optimization: A Platform for Automated Process Optimization
    • 23
    • PDF
    Data Mining in Manufacturing: The Nature and Implications
    • K. Wang
    • Computer Science
    • PROLAMAT
    • 2006
    • 13
    • PDF
    Review on Application of Data Mining in Product Design and Manufacturing
    • 43
    Deep Business Optimization: Making Business Process Optimization Theory Work in Practice
    • 22
    Intelligent process control system for quality improvement by data mining in the process industry
    • 13
    A novel manufacturing defect detection method using association rule mining techniques
    • 63
    • PDF
    Manufacturing Execution Systems (MES)
    • 148
    • PDF
    Business Process Optimization Using Formalized Optimization Patterns
    • 28