Optimal design for pallet size and magazine layout using particle swarm optimization
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초록
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.
Abstract
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.
참고문헌 (15)
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