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Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry

机译:作物生长模拟和数学建模在泰国制糖业供应链管理中的应用

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The poorly integrated cane supply planning between mills and cane growers in the Northeast of Thailand generates an excess of cane supplies that exceeds the mills' capacity during the peak of harvest season. Each grower individually determines his/her cultivation plan by selecting planting dates and cultivars based on one's own preference without taking into account the individual mill's capacity and other growers' plans. This situation causes most sugarcane grown in this area to reach its mature stage at the same period. In this study, we propose a framework of cultivation planning to cope with the problem. The focus of the cultivation plan is a long-term plan to determine the cultivation time, the cultivar selection and the corresponding prospective harvesting time window for each field such that overall sugar production is optimized. The crop growth model and a mathematical model are employed for yield simulation and optimization task. The crop growth model enables decision-makers to visualize cane production of each individual field at different dates with different cultivars and allow decision-makers to apply the mathematical programming to cultivation planning. The suggested framework has the potential to increase sugar production by 23% when compared to the traditional method.
机译:泰国东北部工厂与甘蔗种植者之间的甘蔗供应计划整合不佳,导致甘蔗供应过量,超出了收获季节高峰期工厂的产能。每个种植者通过根据自己的喜好选择种植日期和品种,而不考虑单个工厂的生产能力和其他种植者的计划,来分别确定其种植计划。这种情况导致该地区大多数甘蔗在同一时期达到成熟阶段。在这项研究中,我们提出了一个种植计划框架来解决这个问题。种植计划的重点是一项长期计划,以确定每个田地的种植时间,品种选择和相应的预期收获时间窗口,从而优化总糖产量。作物生长模型和数学模型用于产量模拟和优化任务。作物生长模型使决策者可以在不同的日期使用不同的栽培品种来可视化每个田地的甘蔗生产,并使决策者可以将数学程序应用于种植计划。与传统方法相比,建议的框架有可能将食糖产量提高23%。

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