A production reference for automating maintenance work in Python —
work order intake, asset & inventory synchronization, technician routing, SLA enforcement, and compliance logging.
🌐 Visit the site → www.cmmsautomation.com
CMMS Automation is a deep, code-forward knowledge base for the engineers who treat maintenance as a software discipline. It is written for facilities managers, maintenance engineers, Python automation developers, and CMMS integration teams who need deterministic pipelines, not vendor brochures.
Every guide walks a single production problem end to end — from the operational pain it solves, through the architecture and data contracts, to complete, copy-ready Python you can drop into a running system. The material favours strict schemas, idempotent state transitions, message-broker decoupling, and immutable audit trails, with hand-authored diagrams that explain the hardest concept on each page.
| Area | What it covers |
|---|---|
| Work Order Ingestion & Parsing Pipelines | Turning fragmented requests — email, PDF, NLP-classified free text, inbound webhooks, async batches — into validated, SLA-tagged CMMS payloads. |
| CMMS Architecture & Maintenance Taxonomy | The data structures that make routing reliable: hierarchical asset trees, schema-validated work orders, PM interval calculation, and role-based access boundaries. |
| Asset Lookup & Inventory Synchronization | Tying physical state to the digital ledger: real-time parts availability, barcode/QR integration, automated reorder triggers, supplier lead-time sync, and threshold optimization. |
| Technician Routing & SLA Enforcement | Turning validated work orders into assignments that hit their deadlines: skill-based dispatch, geographic zone routing, SLA timers & escalation, shift-calendar availability, and compliance audit logging. |
Each area opens with a reference overview and drills into practical, copy-ready guides and real-world troubleshooting walkthroughs — over 50 guides in total, every one grounded in runnable Python.
- Runnable, not pseudocode. Every example is a complete Python snippet built on one canonical work order model, so guides compose instead of contradicting each other.
- Real failure modes. Alongside the how-tos are debugging walkthroughs drawn from production incidents — stale inventory reads, duplicate purchase orders, SLA clocks that never pause, off-shift dispatch, meter rollover, forged webhooks, and more.
- Structured for machines and humans. Clean semantic markup, JSON-LD structured data, and hand-authored, theme-aware SVG diagrams throughout.
- Fast and resilient. A static site that is installable as a Progressive Web App and works offline once visited.
- Eleventy (11ty) static site generator
- Markdown content with a data-driven navigation, breadcrumb, and sitemap layer
- Progressive Web App (Web App Manifest + service worker, Apple touch icons)
- Deployed on Cloudflare Pages
Start at www.cmmsautomation.com and pick the area that maps to your current bottleneck, or jump straight into a flagship guide:
- Building a work order ingestion & parsing pipeline
- Parts availability checks in CMMS work order routing
- Technician routing & SLA enforcement
© CMMS Automation & Routing Pipelines · www.cmmsautomation.com