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Production Data Acquisition and Analysis Management System: An Example Based on a Study of Automotive Supplier Solution


  • Lubomir Lengyel


Quality of data coming from manual entry of information is a key element in efficiency of decision making process for all support functions and as well management allowing them to quickly react on changing circumstances of working environment. Principle finding of analysis performed within an automotive production companies shows a need to cover such requirement and develop a robust solution with efficient data collection, business intelligence capabilities and analysis support required for fast decision making process speeding up reaction in case of non-conformity. Purpose of KONIS system is providing a highly efficient solution for manual data entry, statistical analysis and decision making support for modern production company.

Suggested Citation

  • Lubomir Lengyel, 2013. "Production Data Acquisition and Analysis Management System: An Example Based on a Study of Automotive Supplier Solution," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 17(2).
  • Handle: RePEc:tuk:qipqip:v:17:y:2013:i:2:9

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    References listed on IDEAS

    1. 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.
    2. Bersimis, Sotiris & Psarakis, Stelios & Panaretos, John, 2006. "Multivariate Statistical Process Control Charts: An Overview," MPRA Paper 6399, University Library of Munich, Germany.
    3. 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.
    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.
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