A dynamic bi-objective model for after disaster blood supply chain network design; a robust possibilistic programming approach
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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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Journal title
volume 11 issue Special issue: 14th International Industrial Engineering Conference
pages 16- 28
publication date 2018-09-14
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