The two most widely considered measures for optimization under uncertainty are minimizing expected cost and minimizing worst-case cost or regret. In this paper, we present a novel robustness measure that combines the two objectives by minimizing the expected cost while bounding the relative regret in each scenario. In particular, the models seek the minimum-expected-cost solution that is p-robu...

Abstract In recent years, frequent public health incidents have brought huge challenges to the economic development and emergency logistics systems of countries around world. Facing problems unfair distribution medical supplies low efficiency under major emergencies, this article systematically analyzes literature on material related in past 20 years. The is reviewed from three aspects: locatio...

Location-allocation modeling has always been regarded as a core part of spatial analysis. A review the literature, however, reveals that, nevertheless, publications related to facility location disappeared almost completely from geographic journals in meantime. It can be assumed that one major reason for this development is limited capability location-allocation modules implemented GIS packages...

Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, the location-allocation problem is studied under demand uncertainty. The purposes of this study were to specify the optimal number and location of distribution centers and to determine the allocation of customer demands to distribution centers. The m...

Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, the location– allocation problem is studied under demand uncertainty. The purposes of this study were to specify the optimal number and location of distribution centers and to determine the allocation of customer demands to distribution centers. ...

location-allocation is a combinatorial optimization problem, and is defined as non deterministic polynomial hard (np) hard optimization. therefore, solution of such a problem should be shifted from exact to heuristic or meta heuristic due to the complexity of the problem. locating medical centers and allocating injuries of an earthquake to them has high importance in earthquake disaster managem...

In this paper, a novel resilient multi-echelon closed-loop location-allocation-inventory problem (RMCLIP) is addressed that optimizes strategic and tactical decisions simultaneously. In order to represent the purchasing cost of raw material from the supplier, a pricing model under quantity discounts is employed in the closed-loop supply chain (CLSC). Considering the capability of returning the ...

The design of closed-loop logistics (forward and reverse logistics) has attracted growing attention with the stringent pressures of customer expectations, environmental concerns and economic factors. This paper considers a multi-product, multi-period and multi-objective closed-loop logistics network model with regard to facility expansion as a facility location–allocation problem, which more cl...

The decision-making process on humanitarian logistics deals with variables related to the flow and quality of supplies, since the receipt of emergency relief items, its classification, stock, separation and delivery. Consequently, this decision-making process is crucial for seeking the best results in the allocation of scarce resources for storage and transportation in humanitarian operations, ...