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Integrated approach for operations in robotic mobile fulfillment centers under order uncertainty

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  • Kiabakht, Hatef
  • Sajadieh, Mohsen S.

Abstract

The rapid growth of e-commerce has significantly increased the complexity of warehouse operations, particularly in robotic mobile fulfillment centers (RMFCs), where decision-making under uncertain customer demand poses substantial challenges. This study proposes an integrated two-stage stochastic optimization model that jointly addresses item-to-pod assignment, pod positioning, order allocation, pod selection, and sequencing decisions. Item shortages are explicitly incorporated into the model to enhance operational robustness under demand uncertainty.

Suggested Citation

  • Kiabakht, Hatef & Sajadieh, Mohsen S., 2026. "Integrated approach for operations in robotic mobile fulfillment centers under order uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:transe:v:208:y:2026:i:c:s1366554526000232
    DOI: 10.1016/j.tre.2026.104683
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