タイ国におけるサトウキビ機械収穫コスト削減のためのトラック割り当て計画法

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タイトル別名
  • Truck Allocation Planning for Cost Reduction of Mechanical Sugarcane Harvesting in Thailand
  • Truck allocation planning for cost reduction of mechanical sugarcane harvesting in Thailand an application of multi objective optimization
  • An Application of Multi-objective Optimization
  • 多目的最適化の応用

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The allocation of mechanical harvesters and trucks to reduce the cost in sugarcane harvest influences the profit distribution among the three groups involved: sugarcane farmers, the owners of the trucks and mechanical harvesters, and sugar factories. These groups usually do not have common interests. Therefore, multi-objective optimization (MOO) was applied in this study to find a compromise solution. The parameters used in the MOO model were evaluated by using a simple sugarcane harvesting and transportation simulation derived from the field study in northeastern Thailand. The results showed that the compromise solution obtained from MOO was more acceptable than the solutions obtained from single-objective optimization. The results of analysis of variance indicated that the main factors influencing cost were the distance to a sugar factory, field size, and their interaction. In addition, cost reduction and efficient operation in mechanical harvesting and transportation were achieved in this study.

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