Rehandling-aware stowage planning for RoRo ships using exclusive subgraph modeling and affinity-based cargo ordering

基于专属子图建模和亲和力货物排序的滚装船重新装卸感知装载规划

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Abstract

Roll-on/Roll-off (RoRo) ships are designed for direct loading and unloading of wheeled cargo without the use of cranes. During a voyage with sequential port calls, the path of cargo handled at a specific port may be blocked by other cargoes. This results in unnecessary operations, known as rehandling, which relocate other cargoes to reserve a path for the blocked cargoes. Minimizing rehandling significantly reduces cargo handling costs, and this problem is defined as the NP-hard RoRo Ship Stowage Problem (RSSP). This study proposes a backtracking-based algorithm to reduce rehandling in the RSSP effectively. The key components of the proposed method are as follows: (i) a ship structure model based on disjoint subgraphs that cargoes in conflict relationship can be assigned without rehandling, (ii) a cargo ordering strategy that accounts for inter-cargo relationships defined by handling ports and total volume of related cargoes, (iii) a backtracking-based Conflict Free Block (CFB) selection strategy capable of incorporating multiple evaluation metrics, and (iv) a post-processing strategy for partitioning rehandled cargo. Simulation results demonstrate that the proposed method reduces rehandling instances by up to 65% compared to existing methods under various loading scenarios. In practical terms, this can be interpreted as an approximate 18% reduction in the total number of cargo handling operations.

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