A dynamic bi-objective model for after disaster blood supply chain network design; a robust possibilistic programming approach

Document Type : conference paper

Authors

Department of Industrial Engineering, University of Tehran, Tehran, Iran

Abstract

Health service management plays a crucial role in human life. Blood related operations are considered as one of the important components of the health services. This paper presents a bi-objective mixed integer linear programming model for dynamic location-allocation of blood facilities that integrates strategic and tactical decisions. Due to the epistemic uncertain nature of strategic decisions, in order to cope with the inherent uncertainties, a robust possibilistic programming approach is applied to the proposed model. Finally, to test the applicability of the proposed model, sensitivity analysis and some numerical examples are being proposed.

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References

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  • Receive Date: 14 September 2018
  • Accept Date: 14 September 2018

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