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논문 기본 정보

자료유형
학술저널
저자정보
Seung-Pil Lee (Korea Maritime & Ocean University) Chang-Hyun Kim (Korea Institute of Machinery and Materials) Chang-Wan Ha (Korea Institute of Machinery and Materials) Hwan-Seong Kim (Korea Maritime & Ocean University)
저널정보
한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제48권 제3호
발행연도
2024.6
수록면
145 - 152 (8page)
DOI
10.5916/jamet.2024.48.3.145

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초록· 키워드

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Standardized pallets with predefined sizes are widely used in logistics because they help reduce operational costs for transportation firms. However, regular pallets, such as military weapons, are difficult to handle for uncommon cargoes with unique specifications and properties. In such cases, the pallet must be customized to fit the purpose and to optimize the magazine size. This study proposes a metaheuristic called Particle Swarm Optimization (PSO) to calculate the optimal pallet size for weapon cargo based on the specific types and quantities of an assigned weapon list. Next, based on the achieved dimensions, an optimal magazine layout is designed using an exhaustive search method to maximize usage efficiency, which is expressed via the performance index. Simulations are conducted for different input cases to highlight the algorithm"s robustness. The final results highlight its implications in the operations management field as it can maximize the space utility of a given storage in different contexts.

목차

Abstract
1. Introduction
2. Optimal Pallet Size with Particle Swarm Optimization
3. Optimal Layout Design for Magazine
4. Numerical Results
5. Conclusions
References

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