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Stochastic farm work scheduling algorithms based on short range weather variation part 2: application on sugarcane harvesting scheduling problem

机译：基于短程气象变化第2部分的随机农场工作调度算法：对甘蔗收获调度问题的应用

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摘要

The scheduling algorithm named SFSW (Stochastic Farm Work Scheduling Algorithms Based on Short Range Weather Variation) developed in the previous paper was used to schedule sugarcane harvesting in the sugarcane production system of IshigakiIsland, Okinawa, Japan. Adverse effects of weather variation were transformed into two kinds of cost: cost due to inventory loss and penalty cost due to idle time of the factory. The scheduling consisted of two steps; the first step was to determine thedaily amount of harvested canes, and the second step was to decide the fields to be harvested and the allocation of harvesters.Simulation revealed that SFSW succeeded to incorporate weather factors characterized by lower expected cost compared with those of three other schedules decided heuristically. The advantage of updating the schedule was confirmed by comparing theperformance of the original schedule with the daily-updated schedule.
机译：以前纸张开发的名为SFSW的调度算法（基于短程天气变化的随机农场工作调度算法）用于安排日本伊希瓦岛甘蔗生产系统中的甘蔗收获。 天气变化的不利影响转化为两种成本：由于工厂空闲时间由于库存损失和罚金成本，成本。 调度包括两个步骤; 第一步是确定收获的帽子的数量，第二步是决定要收获的田地和收割机的分配。SFSW与其他三个相比，SFSW成功地结合了预期成本的天气因子。 计划决定启发式。 通过将原始计划与日常更新的计划进行比较来确认更新计划的优点。

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