The Optimization Scenario of Loading and Unloading of Containership Using Linear Programming

Abstract

Container ship loading and unloading optimization represents a critical challenge in maritime logistics, directly impacting global supply chain efficiency and operational costs. This research presents a comprehensive analysis of linear programming applications for optimizing container ship operations, focusing on stowage planning, berth allocation, and terminal operations. The study develops mathematical models that minimize operational costs while ensuring vessel stability and safety constraints. Through implementation of mixed-integer linear programming approaches, the research demonstrates significant improvements in container handling efficiency, with potential reductions of 15-20% in total operation time compared to conventional methods. The findings indicate that integrated optimization approaches considering multiple operational levels simultaneously achieve superior results compared to isolated optimization processes. This work contributes to the advancement of mathematical optimization techniques in maritime logistics, providing practical solutions for modern container terminal operations.