Using a simulation model to evaluate the configuration of a sortation facility
Proceedings of the 29th conference on Winter simulation
A simulated annealing algorithm for dynamic layout problem
Computers and Operations Research
Meta-Heuristics: Theory and Applications
Meta-Heuristics: Theory and Applications
Computers and Industrial Engineering
Genetic-based scheduling to solve the parcel hub scheduling problem
Computers and Industrial Engineering
The parcel hub scheduling problem: A simulation-based solution approach
Computers and Industrial Engineering
Global Wiring by Simulated Annealing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Robust door assignment in less-than-truckload terminals
Computers and Industrial Engineering
A tabu search approach to the truck scheduling problem with multiple docks and time windows
Computers and Industrial Engineering
Hi-index | 0.00 |
This paper presents iterative improvement algorithms to solve the parcel hub scheduling problem (PHSP). The PHSP is combinatorial optimization problem that consists of scheduling a set of inbound trailers to a small number of unload docks. At the unload docks, the inbound trailers must be unloaded and the parcel sorted and loaded onto outbound trailers. Because the transfer operation is labor intensive, the transfer of parcels must be done in such a way as to minimize the timespan of the transfer operation. Local search (LS) and simulated annealing (SA) algorithms are developed and evaluated to solve the problem. The performances of the algorithms are compared to the performance of an existing genetic algorithm (GA). The computational results show that the LS and SA algorithms offer solutions that are superior to those offered by the GA.