Two-echelon distribution with city hub capacity management

At the strategic planning level of distribution networks, the design decisions involve the determi- nation of the number, location and capacity of the distribution platforms required

This leads to use a sample average approximation (SAA) [3, 4] which involves solving the two-stage problem with a much smaller number of scenarios than the original problem. Then,

The two proposed sequential heuristic schemes and the different strategies are evaluated and compared both on randomly generated instances, with different characteristics

In order to compare different types of relationship for a two-echelon supply chain and to identify which one generates the greatest profit for the network and for each partner,

The figures in this Annex display the total distribution cost for the six instances cor- responding to fixing two of the three problem characteristics, customer distributions,

More precisely, we report, for each instance, name, number of customers, number of satellites, value of the initial solution (FC), and of the solution obtained by the local search

To provide a comparison be- tween the two formulations, we can say that for an instance with 2 platforms, 8 satellites, 20 customers, 5 urban trucks and 8 city freighters, the number

The common scheme on which all the heuristics are based consists in, after having found an initial solution, applying a local search phase, followed by a diversification; if the