This work addresses production and distribution planning for a real-world dairy supply chain. The planning model accounts for the production and distribution of Cheese, Yogurt, Powdered Milk and UHT milk products across a two-echelon Supply Chain. This task is undermined by the inherent variability of raw materials and finished products demand. The integrated production and distribution planning methodology introduced is based on a two-stage stochastic mixed integer linear programming formulation. In real-world settings the number of scenarios grows substantially; thus, a scenario reduction strategy based on clustering techniques is given. A decomposition and solving strategy is also introduced and applied to a real-world case study. This study showed that the value of the stochastic solution might rise to 21.1% above the deterministic solution. This indicates the importance of considering uncertainty for dairy production and distribution. Besides, different-size instances are tested to study the scalability of the solution approach.

这项工作解决了现实乳制品供应链的生产和分销计划。该计划模型考虑了跨两级供应链的奶酪，酸奶，奶粉和超高温灭菌奶产品的生产和分销。原材料和成品需求的内在变化性破坏了这一任务。引入的综合生产和分销计划方法是基于两阶段随机混合整数线性规划公式。在实际环境中，方案的数量大大增加。因此，给出了一种基于聚类技术的场景减少策略。还介绍了分解和求解策略，并将其应用于实际案例研究。这项研究表明，随机解决方案的价值可能会比确定性解决方案高21.1％。这表明考虑乳制品生产和分销不确定性的重要性。此外，还测试了不同大小的实例，以研究解决方案方法的可伸缩性。