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Enterprise AI for Demand Forecasting and Production Scheduling in Global Agribusiness
技术
- 分析与建模 - 机器学习
- 功能应用 - 制造执行系统 (MES)
适用行业
- 教育
- 食品与饮料
适用功能
- 采购
- 仓库和库存管理
用例
- 添加剂制造
- 需求计划与预测
服务
- 数据科学服务
- 系统集成
挑战
该公司曾尝试使用传统的需求预测解决方案来应对预测挑战，该解决方案依赖于通常每周生成需求预测的统计算法。然而，鉴于食品的保质期短，销售订单在很短的交货时间内就被发送到工厂，有时是每天一次。
该公司采购了额外的基于规则的解决方案来改进生产计划，但在尝试优化计划时遇到了挑战，未能显着改善制造运营。
客户
未披露
关于客户
一家全球农业综合企业和食品制造商经营着 8 条生产线，每年生产超过 8000 万磅的食品，涉及 90 多种产品代码和各种原材料。
解决方案
为了应对这些挑战，这家全球食品制造商决定配置 C3 AI 需求计划和 C3 AI 生产计划优化应用程序。
C3 AI 团队首先摄取、清理和统一 18 个不同的数据源，包括历史需求预测、订单历史数据、生产历史、制造规格和历史库存水平，包括 7200 万行数据。
为了生成最优的生产排程，C3 AI 团队随后配置了 C3 AI 生产排程优化，根据最新的可用数据自动生成排程，使排程人员生成排程的时间减少 96%。
最后，C3 AI 团队配置了跨 C3 AI 需求计划和 C3 AI 生产计划优化的用户界面，使用户能够查看关键制造 KPI
运营影响
数量效益
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