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An exploratory study of the relation between supply chain topological features and supply chain performance

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  • Pero, Margherita
  • Rossi, Tommaso
  • Noé, Carlo
  • Sianesi, Andrea

Abstract

This paper aims at investigating the relations between supply chain design decisions (i.e. number of supply chain levels, number of nodes at each level, number of sources for each node and distance between nodes) and supply chain performance (i.e. stock-outs at the retailer level) in a pull-based supply chain. A framework expressing the hypothesized relations among the above-mentioned variables has been developed and validated by applying simulation techniques and statistical analysis. The number of nodes at each level has been demonstrated to increase stock-outs at the retailer level. On the contrary, performance is not affected by both the number of supply chain levels and the distance between nodes. The number of sources for each node seems to increase stock-outs at the retailer level but no statistical evidence for this has been found. This work can support managers in taking supply chain design decisions and in defining countermeasures to mitigate their effects on supply chain performance.

Suggested Citation

  • Pero, Margherita & Rossi, Tommaso & Noé, Carlo & Sianesi, Andrea, 2010. "An exploratory study of the relation between supply chain topological features and supply chain performance," International Journal of Production Economics, Elsevier, vol. 123(2), pages 266-278, February.
    • Handle: RePEc:eee:proeco:v:123:y:2010:i:2:p:266-278
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    References listed on IDEAS

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    Cited by:

    1. Caridi, Maria & Pero, Margherita & Sianesi, Andrea, 2012. "Linking product modularity and innovativeness to supply chain management in the Italian furniture industry," International Journal of Production Economics, Elsevier, vol. 136(1), pages 207-217.
    2. Dass, Mayukh & Fox, Gavin L., 2011. "A holistic network model for supply chain analysis," International Journal of Production Economics, Elsevier, vol. 131(2), pages 587-594, June.

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