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Supply chain delivery performance improvement for several delivery time distributions

Author

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  • Maxim A. Bushuev
  • Alfred L. Guiffrida
  • Tatiana Rudchenko

Abstract

This paper investigates strategies for improving supply chain delivery performance when the cumulative density function of the delivery time distribution exists in closed form. Delivery performance is measured using a cost-based analytical model which evaluates the expected cost for early and late delivery. The effect of changes to the parameters of the delivery time distribution on the expected cost of untimely delivery is explored. Strategies for improving delivery performance utilising the mean and variance of the delivery time distribution are studied for the uniform, exponential, and logistic delivery time distributions when a supplier uses an optimally positioned delivery window to minimise the expected cost of untimely delivery. Theoretical and managerial implications of the findings are discussed.

Suggested Citation

  • Maxim A. Bushuev & Alfred L. Guiffrida & Tatiana Rudchenko, 2018. "Supply chain delivery performance improvement for several delivery time distributions," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 33(4), pages 538-558.
    • Handle: RePEc:ids:ijores:v:33:y:2018:i:4:p:538-558
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    Cited by:

    1. Tao, Liangyan & Liu, Sifeng & Xie, Naiming & Javed, Saad Ahmed, 2021. "Optimal position of supply chain delivery window with risk-averse suppliers: A CVaR optimization approach," International Journal of Production Economics, Elsevier, vol. 232(C).

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