This paper presents a two-stage mixed-integer programming (MIP) model for the location of cross-docking centers and vehicle routing scheduling problems with cross-docking due to potential applications in the distribution networks.
Dondo et al. (2011) have formulated vehicle routing problem with cross-docking as a MILP model that considered a network with cross-docking strategy with direct shipments.
In addition, in the cross-docking literature, a few number of researches considered both vehicle routing and cross-docking together.
According to this classification, cross-docking decisions can be analyses in these fields: location of cross-dock, layout of facilities inside the cross-dock, dock door assignment, truck scheduling, transportation, routing and consolidation process.
The cross-docking results, in which a peptide is docked into an MHC structure with a different peptide bound, best reflect the expected accuracy for docking novel peptides.
The restraint weight value w = 1.0 kcal/(mol Å2) was found to yield the best cross-docking results and so used in all subsequent docking simulations.
Most docking or virtual screening codes work on rigid structures as obtained from the PDB. Figure 5 shows a traditional cross-docking experiment where a collection of acetylcholinesterase ligands are docked back in the same set of receptor structures.
Mousavi and Tavakoli-Moghaddam (2013) proposed a two-stage model for cross-docking problem, where the first stage aims to find location of cross docks and the second stage aims to find optimal scheduling of trucks.
To establish a possible correlation between docking performance and target conformational attributes the clustered snapshots have been subjected to extensive self- and cross-docking experiments as well as virtual screening using the GOLD docking programme.
This paper presents a scheduling model to enhance cross-docking operations.
Based on obtained results, VNS is recommended for scheduling trucks in cross-docking systems.
