Real-time management of berth allocation with stochastic arrival and handling times

• Published in: Journal of scheduling Vol. 20; no. 1; pp. 67 - 83
• Main Authors: Umang, Nitish, Bierlaire, Michel, Erera, Alan L.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2017; Springer Nature B.V
• Subjects: Algorithms; Arrivals; Artificial Intelligence; Berthing; Business and Management; Calculus of Variations and Optimal Control; Optimization; Handling; Integer programming; Literature reviews; Mathematical models; Operations research; Operations Research/Decision Theory; Optimization; Planning; Ports; Real time; Schedules; Scheduling; Studies; Supply Chain Management; Time management; Uncertainty; Vessels; United Arab Emirates; Port logistics; Real-time reoptimization; Mixed integer programming; Set partitioning; Berth scheduling; Heuristics

In this research we study the berth allocation problem (BAP) in real time as disruptions occur. In practice, the actual arrival times and handling times of the vessels deviate from their expected or estimated values, which can disrupt the original berthing plan and possibly make it infeasible. We co...