This paper presents an integrated strategic-tactical planning model for the sugar beet supply chain problem. The model includes the critical agricultural and industrial decisions coupled with the transportation of crops by capacitated vehicles from farms to the processing facilities. In the agricultural stage, the proposed model is used to analyze both agronomic and operational constraints for achieving a sustainable farming system through feasible strategic crop rotation plans. These plans integrate crop sequences with temporal and spatial variations while considering the known seasonal demand. The agricultural decisions involve crops planting and harvesting decisions to fulfill both fresh produce crops and processing demands. In the industrial stage, the key decisions include aggregate production plans for processing the harvested beet, as well as managing the shipping and storage of these agro-materials in the production facility. In this paper, a binary integer programming model is formulated with the objective of minimizing the overall operational cost including transportation and inventory of processed and non-processed beets. A unique time dimension was added to the planning horizon to allow crop rotation planning between different cropping seasons. A realistic case is used to test the formulated model and elaborate its complexity.

本文提出了甜菜供应链问题的综合战略战术计划模型。该模型包括关键的农业和工业决策，以及用载重车辆从农场到加工设施的农作物运输。在农业阶段，所提出的模型用于分析农业和运营方面的制约因素，以通过可行的战略性作物轮作计划实现可持续的耕作制度。这些计划在考虑已知的季节性需求的同时，将作物序列随时间和空间变化进行整合。农业决策涉及作物种植和收获决策，以同时满足新鲜农产品和加工需求。在工业阶段，关键决策包括用于处理收获的甜菜的总体生产计划，以及在生产设施中管理这些农业材料的运输和存储。在本文中，建立了一个二进制整数规划模型，其目的是最大程度地降低包括运输和已加工和未加工甜菜的总运营成本在内的总运营成本。在计划范围内增加了一个独特的时间维度，以允许在不同种植季节之间进行轮作计划。一个实际案例被用来测试制定的模型并阐述其复杂性。在计划范围内增加了一个独特的时间维度，以允许在不同种植季节之间进行轮作计划。一个实际案例被用来测试制定的模型并阐述其复杂性。在计划范围内增加了一个独特的时间维度，以允许在不同种植季节之间进行轮作计划。一个实际案例被用来测试制定的模型并阐述其复杂性。