Abstract
In this paper, a multi-period multi-echelon reverse logistics network design problem under high extent of uncertainty is addressed. We first formulate and then solve the multi-period network design model using the cloud-based design optimization framework which ensures to: (1) handle high number of uncertain factors; (2) propose alternative solution to traditional approaches; (3) provide a robust solution which strengthens decision makers against unexpected situations. Finally, applicability of the presented approach is tested through a dataset of e-waste reverse logistics network.
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Temur, G.T., Yanık, S. A Novel Approach for Multi-Period Reverse Logistics Network Design under High Uncertainty. Int J Comput Intell Syst 10, 1168–1185 (2017). https://doi.org/10.2991/ijcis.2017.10.1.77
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DOI: https://doi.org/10.2991/ijcis.2017.10.1.77