Abstract
The Energy-Optimized Truck Door Assignment Problem (TDA) addresses the optimization of truck assignments to doors in cross-docking facilities with the aim of minimizing energy consumption and operational costs. In this paper, we propose a scalable optimization model for the TDA and evaluate its capacity to handle varying numbers of trucks and doors. The model integrates mixed-integer linear programming (MILP) techniques to formulate the assignment problem, considering constraints such as truck arrival times, door capacities, and energy-efficient routing strategies. Through a comprehensive analysis, we assess the scalability and effectiveness of the TDA model in optimizing truck door assignments and promoting energy-efficient logistics operations. Results indicate promising performance and highlight opportunities for further research in sustainable logistics management.
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