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wiki/concepts/Problem-Management.md
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title: "Problem Management"
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type: concept
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tags: [itsm, incident-management, operations]
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date: 2025-03-01
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---
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## Definition
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问题管理(Problem Management)是[[ITSM]]的核心流程之一,专注于**识别和分析IT服务问题的根本原因**,防止同类事件重复发生。与事件管理(Incident Management)处理症状不同,问题管理处理的是根本原因。
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## Problem Management vs Incident Management
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| 维度 | 事件管理 | 问题管理 |
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|------|---------|---------|
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| 目标 | 快速恢复服务 | 消除根本原因 |
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| 处理 | 症状 | 根因 |
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| KPI | MTTR | 问题消除率 |
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| 时效 | 即时 | 中长期 |
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## Problem Management Process
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```
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┌──────────────┐ ┌──────────────┐ ┌──────────────┐
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│ Problem │ → │ Root Cause │ → │ Known Error │
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│ Detection │ │ Analysis │ │ Document │
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└──────────────┘ └──────────────┘ └──────────────┘
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↓ ↓ ↓
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AI Anomaly ML-enhanced Known Error
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Detection RCA Process Database (KEDB)
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```
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## Modern Problem Management (ITSM 2.0)
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在[[ITSM 2.0]]中,问题管理由AI驱动:
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### AI-Driven Features
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- **Anomaly Detection** — 自动识别异常模式
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- **Predictive Analytics** — 预测潜在问题
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- **ML-enhanced RCA** — 机器学习加速根因分析
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- **Automated KEDB Updates** — 自动更新已知错误库
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## Key Metrics
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| 指标 | 描述 |
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|------|------|
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| Problem Resolution Rate | 问题解决率 |
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| Mean Time to Diagnose (MTTD) | 平均诊断时间 |
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| Recurring Incidents | 重复发生事件数 |
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| Known Error Accuracy | 已知错误准确率 |
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## Related Concepts
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- [[ITSM]] — 父框架
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- [[Incident-Management]] — 事件管理
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- [[Root-Cause-Analysis]] — 根因分析
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- [[AIOps]] — AI驱动的分析能力
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- [[MTTD]] — 平均诊断时间
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- [[Event-Correlation]] — 事件关联
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## Sources
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- [[understanding-complete-itsm]] — AI-driven Problem Management
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