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Quantitative models for supply chain planning under uncertainty: a review

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Abstract

Managing uncertainty is a main challenge within supply chain management. Therefore, it is expected that those supply chain planning methods which do not include uncertainty obtain inferior results if compared with models that formalise it implicitly. This article presents a review of the literature related to supply chain planning methods under uncertainty. The main objective is to provide the reader with a starting point for modelling supply chain under uncertainty applying quantitative approaches. We have defined a taxonomy to classify models from 103 bibliographic references dated 1988–2007. Finally, some conclusions about the works analysed have been drawn and future lines of research have been identified.

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Authors and Affiliations

  1. CIGIP (Research Centre on Production Management and Engineering), Universidad Politécnica de Valencia, Valencia, Spain

    David Peidro, Josefa Mula, Raúl Poler & Francisco-Cruz Lario

  2. Escuela Politécnica Superior de Alcoy, Plaza Ferrándiz y Carbonell, 2, 03801, Alcoy, Alicante, Spain

    David Peidro

Authors
  1. David Peidro
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  2. Josefa Mula
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  3. Raúl Poler
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  4. Francisco-Cruz Lario
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Correspondence to David Peidro.

Additional information

This work has been carried out in the framework of a project funded by the Spanish Ministry of Science and Technology entitled ‘Hierarchical methodology in the context of uncertainty in the collaborative planning of a supply–distribution chain/network. Application to the ceramic sector’. Ref. DPI2004-06916-C02-0.

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Peidro, D., Mula, J., Poler, R. et al. Quantitative models for supply chain planning under uncertainty: a review. Int J Adv Manuf Technol 43, 400–420 (2009). https://doi.org/10.1007/s00170-008-1715-y

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