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Addressing uncertainty in sugarcane harvest planning through a revised multi-choice goal programming model

机译：通过修订的多项选择目标规划模型解决甘蔗收获计划中的不确定性

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摘要

In this paper a new revised multi-choice goal programming (RMCGP-LHS) model is proposed to deal with uncertainty in sugar cane harvest scheduling for sugar and ethanol milling companies. The RMCGP-LHS model uses a weekly decision-making horizon and takes into account the time and condition of land management, cane cutting decisions, and agricultural logistics. Its objective is to obtain information in order to harvest sugar cane plots in the period closest to the highest saccharose levels, while also minimizing agro-industrial costs. The RMCGP-LHS model was applied to a real case sugar and ethanol mill, and its optimization has provided harvesting policies that were validated by the company's managers. Besides that the RMCGP-LHS model is a very practical tool for simulating in a fast way different scenarios involving uncertainties on model parameters and helping the managers in decision making process in real time.
机译：本文提出了一种新的修订后的多项选择目标规划（RMCGP-LHS）模型，以应对糖和乙醇制粉公司的甘蔗收获计划中的不确定性。 RMCGP-LHS模型使用每周决策范围，并考虑了土地管理，甘蔗切割决策和农业物流的时间和条件。其目的是获得信息，以便在最接近蔗糖最高水平的时期内收获甘蔗地，同时还将农业工业成本降至最低。 RMCGP-LHS模型应用于实际案例的糖和乙醇工厂，其优化提供了经公司经理确认的收获政策。此外，RMCGP-LHS模型是一种非常实用的工具，可用于快速模拟涉及模型参数不确定性的不同场景，并帮助管理人员实时进行决策。

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