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- W3199908090 abstract "In the manufacturing industry in the modern era, in the development and management of storage warehouses, several obstacles are often encountered, including the arrangement of goods that are not neatly arranged, causing a lot of space that is not utilized optimally in the warehouse. In this research, we discuss applying the particle swarm optimization (PSO) algorithm in optimizing the storage arrangement of manufactured goods in the warehouse. The particle swarm optimization algorithm is a stochastic-based optimization technique inspired by the social behavior of a flock of birds or a group of fish. The use of the particle swarm optimization algorithm in this research aims to find the best fitness value in allocating goods in the finished materials warehouse so that the arrangement and allocation of goods are not done arbitrarily and can reduce the space in the warehouse, the results of this study will be shown in java application in the form of tables and visualization of the placement of goods on the shelf. The results of program testing, from the inputted data, the best fitness obtained is 1798120 in 63 iterations." @default.
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- W3199908090 date "2021-07-29" @default.
- W3199908090 modified "2023-09-24" @default.
- W3199908090 title "Particle Swarm Optimization Algorithm for Optimizing Item Arrangements in Storage Warehouse" @default.
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- W3199908090 doi "https://doi.org/10.1109/icera53111.2021.9538775" @default.
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