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Proactive Approach to Manufacturing Planning

Author

Listed:
  • Peter Bubeník
  • Filip Horák

Abstract

Proposed concept of proactive manufacturing planning uses sets of knowledge to create plan. These sets of knowledge are gained from transformation of historical data of selected indicators. This concept uses the analysis of occurred events, which is done by applying data mining methods to known historical data. Results of analysis are then recorded into knowledge-based system for further use. Application of data mining techniques helps to find hidden relationships with high influence on final decision of planner. This concept aims to navigate planner during creation of real plans resulting from real situations. Unknown situations are modelled using simulation module.

Suggested Citation

  • Peter Bubeník & Filip Horák, 2014. "Proactive Approach to Manufacturing Planning," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 18(1).
  • Handle: RePEc:tuk:qipqip:v:18:y:2014:i:1:3
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    File URL: http://www.qip-journal.eu/index.php/QIP/article/view/208/275
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    References listed on IDEAS

    as
    1. Bersimis, Sotiris & Psarakis, Stelios & Panaretos, John, 2006. "Multivariate Statistical Process Control Charts: An Overview," MPRA Paper 6399, University Library of Munich, Germany.
    2. Tari, Juan Jose & Sabater, Vicente, 2004. "Quality tools and techniques: Are they necessary for quality management?," International Journal of Production Economics, Elsevier, vol. 92(3), pages 267-280, December.
    3. Majeske, Karl D. & Lynch-Caris, Terri & Herrin, Gary, 1997. "Evaluating product and process design changes with warranty data," International Journal of Production Economics, Elsevier, vol. 50(2-3), pages 79-89, June.
    4. Gruner, Kjell E. & Homburg, Christian, 2000. "Does Customer Interaction Enhance New Product Success?," Journal of Business Research, Elsevier, vol. 49(1), pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    data mining; production planning; proactive approach; knowledge-based system;

    JEL classification:

    • Z - Other Special Topics

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