This paper examines a three-echelon logistics network in which all supply and
transshipment nodes are subject to disruption. We use uncertainty sets to describe the …

The design of resilient supply chains under the risk of disruptions at candidate locations for
distribution centers (DCs) is formulated as a two-stage stochastic program. The problem …

This paper proposes a novel reliable hierarchical location-allocation model addressing a
real-world health service network design problem. The model considers several key issues …

This paper presents a cost-efficient and reliable supply chain network design model for
biomass to be delivered to biofuel plants. Biomass is bulky, so transportation modes such as …

This study presents a novel reliable hierarchical facility location model addressing a real-
world military logistic network design problem, where facilities are subject to the risk of …

This paper considers a three level location-inventory problem where demand across the
retailers is assumed to be correlated. We first present a reformulation scheme by which the …

In this paper, we consider an uncapacitated facility location problem (RUFL) with random
facility disruptions. We develop risk-averse optimization formulations to compute resilient …

In this study, we design a reliable logistics network based on a hub location problem, which
is less sensitive to disruption and it performs efficiently when disruption occurs. A new mixed …

Hub location problems are widely analyzed in fields of logistic and transportation industry for
cost reduction. In this paper, a novel algorithm framework based on machine learning is …

This paper considers a coordinated location-inventory model under uncertain demands for a
closed loop supply chain comprising of one plant, forward and reverse distribution centers …