Truck Allocation Planning for Cost Reduction of Mechanical Sugarcane Harvesting in Thailand

DOI Web Site 10 References
  • KAEWTRAKULPONG Kriengkri
    Graduate School of Life and Environmental Sciences, University of Tsukuba The Japanese Society of Agricultural Machinery
  • TAKIGAWA Tomohiro
    The Japanese Society of Agricultural Machinery Graduate School of Life and Environmental Sciences, University of Tsukuba
  • KOIKE Masayuki
    The Japanese Society of Agricultural Machinery Graduate School of Life and Environmental Sciences, University of Tsukuba
  • HASEGAWA Hideo
    The Japanese Society of Agricultural Machinery Graduate School of Life and Environmental Sciences, University of Tsukuba
  • BAHALAYODHIN Banshaw
    Faculty of Engineering at Kamphaengsaen, Kasetsart University Kamphaengsaen Campus

Bibliographic Information

Other Title
  • 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
  • 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

Search this article

Abstract

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.

Journal

References(10)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top