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A Lagrangian relaxation approach to simultaneous strategic and tactical planning in supply chain design

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  • Ali Diabat
  • Jean-Philippe Richard
  • Craig Codrington

Abstract

We study a multi-echelon joint inventory-location model that simultaneously determines the location of warehouses and inventory policies at the warehouses and retailers. The model is formulated as a nonlinear mixed-integer program, and is solved using a Lagrangian relaxation-based approach. The efficiency of the algorithm and benefits of integration are evaluated through a computational study. Copyright The Author(s) 2013

Suggested Citation

  • Ali Diabat & Jean-Philippe Richard & Craig Codrington, 2013. "A Lagrangian relaxation approach to simultaneous strategic and tactical planning in supply chain design," Annals of Operations Research, Springer, vol. 203(1), pages 55-80, March.
  • Handle: RePEc:spr:annopr:v:203:y:2013:i:1:p:55-80:10.1007/s10479-011-0915-2
    DOI: 10.1007/s10479-011-0915-2
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    19. Diabat, Ali, 2014. "Hybrid algorithm for a vendor managed inventory system in a two-echelon supply chain," European Journal of Operational Research, Elsevier, vol. 238(1), pages 114-121.
    20. Shahabi, Mehrdad & Tafreshian, Amirmahdi & Unnikrishnan, Avinash & Boyles, Stephen D., 2018. "Joint production–inventory–location problem with multi-variate normal demand," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 60-78.
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    23. Diabat, Ali & Al-Salem, Mohammed, 2015. "An integrated supply chain problem with environmental considerations," International Journal of Production Economics, Elsevier, vol. 164(C), pages 330-338.

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