Optimizing yard assignment in an automotive transshipment terminal

This paper studies a yard management problem in an automotive transshipment terminal. Groups of cars arrive to and depart from the terminal in a given planning period. These groups must be assigned to parking rows under some constraints resulting from managerial rules. The main objective is the minimization of the total handling time. Model extensions to handle application specific issues such as a rolling horizon and a manpower leveling objective are also discussed. The main features of the problem are modeled as an integer linear program. However, solving this formulation by a state-of-the-art solver is impractical. In view of this, we develop a metaheuristic algorithm based on the adaptive large neighborhood search framework. Computational results on real-life data show the efficacy of the proposed metaheuristic algorithm.

► We study a yard management problem in an automotive transshipment terminal.
► We introduce ILP formulations and an algorithm based on the ALNS framework.
► We handle practical issues such as rolling horizon, and manpower leveling.
► The solution method allows updates as soon as new data becomes available.
► Computational results on real-life data show the efficacy of the proposed algorithm.