Name
Title | ||
|---|---|---|
Truck scheduling in a multi-door cross-docking center with partial unloading – Reinforcement learning-based simulated annealing approaches |
Abstract | ||
|---|---|---|
•A truck scheduling problem in a multi-door cross-docking center is studied.•Inbound trucks can be partially unloaded and can be used as outbound trucks.•A new heuristic algorithm is developed to find initial solutions in a short time.•An RL-based SA algorithm with some tailor-made neighborhood structures is proposed.•Numerical results show that partial unloading can reduce makespan tangibly. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cie.2019.106134 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Logistics,Cross docking,Truck scheduling,Simulated annealing,Reinforcement learning | Integer,Truck,Simulated annealing,Mathematical optimization,Job shop scheduling,Scheduling (computing),Truck scheduling,Engineering,Cross-docking,Reinforcement learning | Journal |
Volume | ISSN | Citations |
139 | 0360-8352 | 1 |
PageRank | References | Authors |
0.35 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amin Shahmardan | 1 | 1 | 0.35 |
| Mohsen S. Sajadieh | 2 | 38 | 5.96 |