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Improvement in Product Development: Use of back-end data to support upstream efforts of Robust Design Methodology

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  • Vanajah Siva

Abstract

In the area of Robust Design Methodology (RDM) less is done on how to use and work with data from the back-end of the product development process to support upstream improvement. The purpose of this paper is to suggest RDM practices for the use of customer claims data in early design phases as a basis for improvements. The back-end data, when systematically analyzed and fed back into the product development process, aids in closing the product development loop from claims to improvement in the design phase. This is proposed through a flow of claims data analysis tied to an existing tool, namely Failure Mode and Effects Analysis (FMEA). The systematic and integrated analysis of back-end data is suggested as an upstream effort of RDM to increase understanding of noise factors during product usage based on the feedback of claims data to FMEA and to address continuous improvement in product development.

Suggested Citation

  • Vanajah Siva, 2012. "Improvement in Product Development: Use of back-end data to support upstream efforts of Robust Design Methodology," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 16(2).
    • Handle: RePEc:tuk:qipqip:v:16:y:2012:i:2:7
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    File URL: http://www.qip-journal.eu/index.php/QIP/article/download/65/50
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    References listed on IDEAS

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    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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    Cited by:

    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.

    More about this item

    Keywords

    Robust design methodology; product development; continuous improvement; back-end data; claims analysis;

    JEL classification:

    • Z - Other Special Topics

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