技术
- 分析与建模 - 预测分析
- 功能应用 - 企业资产管理系统 (EAM)
- 功能应用 - 制造执行系统 (MES)
- 功能应用 - 远程监控系统
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 设备与机械
适用功能
- 离散制造
- 维护
用例
- 自动化制造系统
- 预测性维护
客户
Kaeser Kompressoren SE
关于客户
Kaeser Kompressoren SE,一家拥有 5,500 名员工的公司,提供压缩空气系统和压缩空气咨询服务。
挑战
优化其 Sigma Smart Air
服务,Kaeser 与 SAP 合作
要部署的数字业务服务
SAP Leonardo IoT 功能与 SAP Asset Intelligence Network 和 SAP Predictive Maintenance and Service 一起作为其创新基础。 Kaeser 的新解决方案在云中智能地连接其压缩机,使其能够以更低的价格提供下一代服务。
挑战:
- 服务团队无法访问存储在本地系统中的校准数据和其他特定于设备的信息
- 没有满足经销商和公司服务商需求的解决方案
- 需要与选定的供应商进行跟踪和追溯以扩大潜力
解决方案
- 与 SAP 建立战略合作伙伴关系和共同创新
- 基于 SAP S/4HANA® Cloud 的 SAP 资产智能网络,用于维护设备信息并提高使用透明度
- SAP S/4HANA、SAP Predictive Maintenance and Service、SAP Manufacturing Execution 应用程序和第三方解决方案之间的标准集成
- 能够建立“数字双胞胎”以构建全新的数据驱动商业模式
运营影响
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