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Constructing a new robust bilevel fashion product supply chain network with uncertain demand and transportation cost

Sifan Gao et al.

Journal of Industrial and Management Optimization2026https://doi.org/10.3934/jimo.2026079article
AJG 1ABDC B
Weight
0.50

Abstract

In this paper, we address the construction of a multi-period fashion product supply chain network (FSCN) with the incorporation of production discounts and transportation quantity decisions. A bilevel design framework is proposed to capture the decision-making interaction between a fashion product manufacturer (acting as a leader) and retailers (acting as followers) over multiple periods. By utilizing Karush-Kuhn-Tucker (KKT) conditions, the bilevel optimization model can be transformed into a single-level mixed-integer linear programming (MILP) model. Furthermore, uncertainty in unit transportation cost and demand was addressed via a robust optimization framework, with the aim of balancing the optimal decisions of the upper and lower decision makers. To solve the proposed robust model efficiently, we designed a tailored Benders decomposition (BD) algorithm. To validate the effectiveness of our proposed model and BD algorithm, a case study based on ZARA was conducted. Thus, based on extensive experiments, the benefits of the proposed methods are illustrated, and significant insights are obtained for decision makers.

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https://doi.org/https://doi.org/10.3934/jimo.2026079

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@article{sifan2026,
  title        = {{Constructing a new robust bilevel fashion product supply chain network with uncertain demand and transportation cost}},
  author       = {Sifan Gao et al.},
  journal      = {Journal of Industrial and Management Optimization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.3934/jimo.2026079},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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