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Optimal mechanical harvester route planning for sugarcane f ield operations using particle swarm optimization |
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| รหัสดีโอไอ | |
| Creator | 1. Woraya Neungmatcha 2. Kanchana Sethanan |
| Title | Optimal mechanical harvester route planning for sugarcane f ield operations using particle swarm optimization |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2558 |
| Journal Title | KKU Engineering Journal |
| Journal Vol. | 42 |
| Journal No. | 2 |
| Page no. | 125-133 |
| Keyword | Sugarcane,Harvester,Route planning,Particle swarm optimization |
| ISSN | 0125-8273 |
| Abstract | Since current agricultural production systems such as the sugarcane supply system in the sugar industry are developing towards larger and more complicated systems, there is consequently increasing use of agricultural machinery. Even though mechanization can help to increase the sugarcane yield, if the mechanical operation eff iciency is low, then higher harvest costs and machinery shortages will occur. Global route planning for mechanical harvesters is one of the most important problems in the f ield of sugarcane harvesting and transporting operations. Improved eff iciency and realistic implementation can be achieved by applying advanced planning methods for the execution of f ield operations, especially considering the f ield accessibility aspect. To address this issue, participative research was undertaken with a sugar milling company to produce and implement a mixed integer programming model that represents the mechanical harvester route plan. Particle swarm optimization was applied to f ind a solution to the model, leading to potential cost savings versus schedules produced manually by the mill off icer. The model was also applied to explore regional planning options for a more integrated harvesting and transport system. |
