技术
- 分析与建模 - 数据挖掘
- 机器人 - 自动导引车 (AGV)
适用行业
- 汽车
- 矿业
适用功能
- 物流运输
- 采购
用例
- 添加剂制造
- 车辆性能监测
服务
- 系统集成
- 测试与认证
关于客户
该客户是全球汽车用品领域的领导者,在30个国家拥有300多个制造中心和近90个产品开发、工程和销售中心。该公司以其优质的零件设计和工程而闻名,为世界各地的汽车和轻型卡车原始设备制造商 (OEM) 进行测试和制造汽车系统、总成、模块和部件。该公司因提供创新技术、提供优质组件以及提供有竞争力的企业级成本解决方案而赢得了客户的奖项。
挑战
一家全球领先的汽车零部件供应商在 30 个国家/地区拥有 300 多个制造中心和近 90 个产品开发、工程和销售中心,在将业务扩展到美国中南部的新工厂时面临着重大挑战。该公司的业务模式基于根据最终产品制造中使用的每个组件的成本开具发票。平均而言,每个成品单元使用 100 多个不同的组件,而定制版本的数量通常超过 250 个。供应商需要验证、协调和报告用于为汽车制造商制造最终装置的所有组件。不良的库存控制和不准确的供应链报告正在影响供应商的运营成本和收入数字。此外,汽车制造商要求最终单元中使用的每个组件都映射到完全制造的车辆的车辆识别号 (VIN)。此过程中使用的不同数据源和格式的数量需要一种易于使用的解决方案,可以从不同的数据源中提取所需的信息,并确保准确、及时、灵活的报告和发票。
解决方案
在新工厂投入运营之前,零件供应商转向 Altair 的自助数据准备解决方案 Monarch Complete。工作流程从按组件输入制造执行系统 (MES) 的作业订单开始。当订单准备好生产时,组件数据会以提供订单库存的报告的形式通过公司的 ERP 系统(称为“Trans4M”)传递。一旦订单生成并准备发货,就会生成一份成品报告,显示订单中包含的组件。然后,该报告通过惠普的分拣运输系统传递;它还通过成品、产品单元编号和 VIN 通过 ERP 系统。通过使用 ERP 系统内部运行的预构建报告和数据查询,制造商使用 Monarch 提取、比较和验证一个系统中的生产数据与另一系统中的发货数据,以确保订单正确并正确计费。事实证明,Monarch 是一种可以降低创建最终报告和发票以及出于业务目的分析其他数据点时的复杂性的解决方案。
运营影响
数量效益
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