Location and Service Network Design

More specifically, as a key contribution, we extend the Nash bargaining solution for the cooperative network design problem to the case of multiple players with linear constraints,

Recognizing the central role of Lagrange multipliers in network resource allocation, a novel learn-and- adapt stochastic dual gradient (LA-SDG) method is developed in this paper

The ideal solution for this problem should satisfy the main objectives, including simultaneously: maximizing service quality, service speed, and service centers

The two distribution strategies considered are indirect delivery paths, where products transit through a single secondary warehouse between their origin and destination without

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In the deterministic case no ad-hoc capacity increase is used (when the demand is deterministic), while the stochastic case uses some ad-hoc capacity increase (less than 0.1% of

The table indicates the number of commodities (|K|), the number of terminals (|N|), the number of time periods in the planning horizon (T), the average available time for delivery

We report the average gap in solution quality over all 35 instances (column Gap), the number of instances where SSCG produced a better solution (# SSCG better), and the number