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Network DEA-based biobjective optimization of product flows in a supply chain

Author

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  • Sebastian Lozano

    (University of Seville)

  • Belarmino Adenso-Diaz

    (Universidad de Oviedo)

Abstract

This paper deals with planning the product flows along a supply chain (SC) in which there are product losses in the nodes and in the arcs. Given the demand by each retailer, appropriate quantities to be procured from the different suppliers must be decided and the routing of the product along the SC must be determined. Care must be taken because, due to losses, the amount of product that will be finally available at the retailers is lower than the amount of product procured. The objective is twofold: minimizing total costs and minimizing product losses. The proposed approach leverages the existence of data on the flows in previous periods. With those observed flows, a Network Data Envelopment Analysis technology is inferred which allows the computing of any feasible operating point. The resulting biobjective optimization problem can be solved using the weighted Tchebycheff method.

Suggested Citation

  • Sebastian Lozano & Belarmino Adenso-Diaz, 2018. "Network DEA-based biobjective optimization of product flows in a supply chain," Annals of Operations Research, Springer, vol. 264(1), pages 307-323, May.
    • Handle: RePEc:spr:annopr:v:264:y:2018:i:1:d:10.1007_s10479-017-2653-6
    DOI: 10.1007/s10479-017-2653-6
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    References listed on IDEAS

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    Cited by:

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    3. Ester Gutiérrez & Sebastián Lozano, 2022. "Cross-country comparison of the efficiency of the European forest sector and second stage DEA approach," Annals of Operations Research, Springer, vol. 314(2), pages 471-496, July.

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