品质保证

借助质量保证体系,企业可防止在向客户交付货物或服务的过程中出现缺陷。构建这种收集数据并识别管道沿线潜在问题的系统大有益处。例如,在数字化制造中,整个装配线的质量保证至关重要。相较于在速度减慢和潜在故障发生之后检测出问题,提前发现问题可以帮助公司降低报废和返工成本,同时提高生产率。

此解决方案以制造管道(装配线)为例演示了如何预测故障。具体做法是使用现有的测试系统和故障数据,着重查找装配线末端的返回和功能故障。通过将以上功能与封装主要处理步骤的模块化设计中的行业知识和根本原因分析结合,我们提供了一种通用的高级分析解决方案,使用机器学习在故障发生之前预测这些故障。提前预测出将发生的故障可减少维修甚至报废成本,这通常比召回和保修成本更具成本效益。

Quality AssuranceQuality assurance systems allow businesses to prevent defects throughout their processes of delivering goods or services to customers. Building such a system that collects data and identifies potential problems along a pipeline can provide enormous advantages. For example, in digital manufacturing, quality assurance across the assembly line is imperative. Identifying slowdowns and potential failures before they occur rather than after they are detected can help companies reduce costs for scrap and rework while improving productivity.

免责声明

©2017 Microsoft Corporation。保留所有权利。此信息按“原样”提供且可能更改,恕不另行通知。Microsoft 不就此处提供的信息做任何明示和默示的担保。第三方数据用于生成解决方案。你必须尊重他人的权利,包括在创建类似数据集之前获得相关许可并遵循此等许可。

Quality AssuranceQuality assurance systems allow businesses to prevent defects throughout their processes of delivering goods or services to customers. Building such a system that collects data and identifies potential problems along a pipeline can provide enormous advantages. For example, in digital manufacturing, quality assurance across the assembly line is imperative. Identifying slowdowns and potential failures before they occur rather than after they are detected can help companies reduce costs for scrap and rework while improving productivity.

相关解决方案体系结构

Anomaly Detection in Real-time Data StreamsCortana Intelligence IT Anomaly Insights solution helps IT departments within large organizations quickly detect and fix issues based on underlying health metrics from IT infrastructure (CPU, Memory, etc.), services (Timeouts, SLA variations, Brownouts, etc.), and other key performance indicators (KPIs) (Order backlog, Login and Payment failures, etc.) in an automated and scalable manner. This solution also offers an easy to 'Try it Now' experience that can be tried with customized data to realize the value offered by the solution. The 'Deploy' experience allows to quickly get started with the solution on Azure by deploying the end to end solution components into your Azure subscription and providing full control for customization as needed.

实时数据流异常检测

Cortana Intelligence IT 异常见解解决方案帮助大型组织中的 IT 部门以可缩放的自动化方式,根据 IT 基础结构(CPU,内存等)、服务(超时,SLA 变体,限电等)的基础运行状况指标和其他关键性能指标 (KPI)(订单积压、登录和付款失败等)快速检测并修复问题。此解决方案还提供简单的“立即试用”体验,可使用自定义数据进行尝试,以实现解决方案提供的价值。通过“部署”体验,可将端到端解决方案组件部署到 Azure 订阅中,并根据需要对自定义进行完全控制,从而在 Azure 上快速开始使用该解决方案。