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Calık et al. (2009) studied a single allocation hub covering problem with an incomplete hub network.
This study discusses a method that overcomes the size limitations in solving large size multilevel hierarchical hub location problem with a single allocation by using a stepwise solving approach called CM-GATS.
He will randomly select a single allocation.
Simple randomisation Pure randomisation based on a single allocation ratio is known as simple randomisation.
Among the 4,995 allocation sequences that assigned the placeholder CHOs to opposite groups, a single allocation was selected at random, and the two placeholder CHOs were discarded.
A randomization table was generated by a statistician to randomize for order that then placed sealed envelopes containing a single allocation (A Placebo, B Olanzapine) into a box in the order specified by the randomization table.
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We even show that the problem of finding an optimal single allocation with respect to a given set of hubs is already NP-hard.
Ghaderi and Rahmanian (2015) propose a robust stochastic single allocation hub location problem based on the p-robust concept.
For example, the pharmaceutical budget was a single block allocation without separate allocations for hospitals, municipalities, and clinical services, and there was no coding structure for goods and services throughout the health sector.
This paper develops a bi-objective reliable single allocation p-hub maximal covering problem (BRSApHMCP) considering two objectives: maximizing expected covered flows and minimizing congestion.
First, a quadratic formulation is proposed for single allocation hub set covering problem.
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