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Empirical Study of Measuring Supply Chain Performance


  • Ilkka Sillanpää

    (University of Vaasa, Finland)


Purporse Supply chain performance measurement - the process of qualifying the efficiency and effectiveness of the supply chain. The aim of this study is to create a supply chain measurement framework for manufacturing industry, define which data should be measured and verify the measurement framework in the case company’s supply chain. Design/Methodology/Approach There is a review of the current understanding of supply chain management and literature related to supply chain performance measurement and the study creates a framework for supply chain measurement. This research is qualitative case study research. Findings This study presents the main theoretical framework of supply chain performance measurement. The key elements for the measurement framework were defined as time, profitability, order book analysis and managerial analysis. The measurement framework is tested by measuring case supply chain performance. Limitations In the study, a performance measurement framework was created for the needs of manufacturing industry. Practical implications The measurement framework in this study offers guidelines for measuring the supply chain in manufacturing industry but the measurement framework could be used in different areas of industry as well. Originality/Value The measurement framework is a valid framework for supply chain performance measurement in manufacturing industry.

Suggested Citation

  • Ilkka Sillanpää, 2012. "Empirical Study of Measuring Supply Chain Performance," MIC 2012: Managing Transformation with Creativity; Proceedings of the 13th International Conference, Budapest, 22–24 November 2012 [Selected Papers], University of Primorska, Faculty of Management Koper.
  • Handle: RePEc:mgt:micp12:223-283

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    References listed on IDEAS

    1. Epstein, Marc & Manzoni, Jean-François, 1998. "Implementing corporate strategy:: From Tableaux de Bord to balanced scorecards," European Management Journal, Elsevier, vol. 16(2), pages 190-203, April.
    2. Suwignjo, P. & Bititci, U. S & Carrie, A. S, 2000. "Quantitative models for performance measurement system," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 231-241, March.
    3. Ben Naylor, J. & Naim, Mohamed M & Berry, Danny, 1999. "Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 107-118, May.
    4. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
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