The container terminal industry faces the challenge of efficiently allocating berths for incoming vessels to maximize operational efficiency. The Berth Allocation Problem (BAP) is a fundamental issue that must be addressed, especially in busy ports such as TangerMed in Morocco. To tackle this problem, a real case study was conducted, focusing on optimizing the BAP at TangerMed. The study proposes a simplified linear integer programming model that considers the mooring time and initial berthing location on a single continuous quay at X-Port. This model was implemented using the PuLP Package in Python, and the results were displayed on a time-space diagram.

The proposed approach is expected to improve seaport management and enhance the quality of operational services, ultimately leading to increased efficiency and profitability for the terminal