Bodhee
Bodhee Maintenance Scheduling

Uptime
by Design.

Bodhee Maintenance Scheduling sits on top of your existing CMMS and clusters downtime windows — then coordinates with production and quality in real time. Fewer shutdowns. Higher first-time-right. Same CMMS of record.

Complements SAP PM, IBM Maximo, and Infor EAM. No rip-and-replace.
Industry context

Maintenance is 20–30% of controllable cost — scheduled by hand.

20–30%
Of total operating cost in asset-intensive industries
ARC Advisory Group
30–50%
Of planned PMs deferred into compliance risk
Typical CMMS audit
2–3×
Downtime windows created vs. what's strictly needed
Un-clustered scheduling
<40%
First-time-right execution rate on complex shutdowns
Industry directional

Figures are directional industry benchmarks — not Neewee customer outcomes.

The problem

CMMS is a system of record — not a scheduler.

SAP PM, Maximo, Infor EAM are excellent at what they were built for. Scheduling isn't it.

01

PMs scheduled by calendar, not by opportunity

A monthly PM hits whether or not a natural window just opened. The schedule ignores the plant state.

02

Task duration is a single number

CMMS stores “4 hours.” The reality is shutdown + LOTO + task + qualification + restart — each with its own dependency.

03

Windows aren't clustered

Three PMs on adjacent equipment get scheduled in three separate windows. Each with its own shutdown overhead.

04

Compliance deferrals invisible

A deferred PM becomes a red flag in next month's audit — the scheduler never sees the cascading compliance exposure.

05

Disconnected from production & QC

Campaign transitions that could absorb a PM go unused. OOS investigations that open an equipment window go unexploited because maintenance planning updates too slowly.

Meet Bodhee Maintenance Scheduling

A scheduling layer on top of your CMMS — not a replacement.

Sits on top of your CMMS.

Bodhee reads work orders from SAP PM, IBM Maximo, or Infor EAM and writes scheduled start-times back. The CMMS remains the system of record.

Clusters windows.

Periodic work orders are clustered into the fewest possible downtime windows — cutting shutdown and LOTO overhead in half or better.

True-duration modelling.

Each task is modelled as shutdown → LOTO → task → qualification → restart — with the dependency graph that actually governs execution.

The five pillars

What Bodhee Maintenance Scheduling does.

Pillar 01

CMMS Integration

Read work orders. Write scheduled times.
  • SAP PM, Maximo, Infor EAM connectors
  • Bi-directional sync
  • CMMS remains system of record
Pillar 02

True-Duration Modelling

Maintenance as it actually happens.
  • Shutdown + LOTO + task + qualification + restart
  • Dependency graph per work order
  • Crew skill & tool requirements
Pillar 03

Window Clustering

Fewer shutdowns. Higher yield.
  • Adjacent-equipment co-scheduling
  • Shared-utility opportunity detection
  • Campaign-transition window capture
Pillar 04

Compliance-Aware Prioritisation

Regulatory risk, scheduled first.
  • Regulatory PM due-dates honoured
  • Deferral cascade visualisation
  • Audit-ready exception trail
Pillar 05 · Lead differentiator

Cross-Functional Coordination

Real-time with production & quality.
  • Captures opened windows from Production events
  • QC OOS investigations → maintenance opportunity
  • Bodhee Production absorbs downstream impact
Measurable outcomes

What Bodhee Maintenance Scheduling delivers.

Ranges observed across asset-intensive deployments. Outcomes vary by CMMS maturity and asset complexity.

0–50%

Downtime windows created

through tighter clustering of related work

0–20 pp

First-time-right execution

with true-duration tasks and dependencies modelled upfront

0–25%

PM compliance rate

by protecting maintenance windows before they drift

Hours → Minutes

Window re-plan cycle

when campaigns shift or urgent work lands mid-week

−15–25%maintenance labour overhead

Based on Neewee deployment observations in process manufacturing.

How it works

Inputs → Engine → Outputs.

Bodhee connects into your existing stack, runs the optimisation, and publishes schedules and events back out.

Inputs · 7

Source systems feeding the engine.

  • SAP PM / Maximo / Infor EAM
  • HRMS Crew skills
  • Spare-parts inventory
  • SCADA / Historian health
  • Compliance calendar
  • Bodhee Production events
  • Bodhee QC events
Engine · 5

Five internal capabilities.

  • Task decomposition & dependency graph
  • Window-clustering optimisation
  • Crew & tool matching
  • Compliance-weighted prioritisation
  • Event-driven rescheduling
Outputs · 5

What Bodhee publishes back.

  • Scheduled start-times → CMMS
  • Clustered downtime windows
  • Crew rosters & work packs
  • Compliance dashboard
  • Events → Bodhee Production / QC
Who it's for

Four roles. Four reasons.

Primary user

Maintenance Planner / Scheduler

“I need to cluster PMs into real windows and stop chasing campaign transitions by phone.”

Work-order scheduling effort drops. Windows cluster automatically. Campaign transitions are captured.

Economic buyer

Maintenance Manager / Reliability Lead

“My compliance report and my uptime report should be the same report. Today they aren't.”

PM compliance rises 15–25%. Unplanned downtime falls. One view instead of two.

Operational

Maintenance Crew & Contractors

“Give me an accurate work pack — with the right spare parts on site and a window that won't move at the last minute.”

First-time-right execution rises 10–20 pp. Crew utilisation improves. Fewer late-change callouts.

Technical buyer

Digital / IT Leaders

“We're not replacing SAP PM. We need a scheduling layer that reads and writes — not another system of record.”

Deployed on top of existing CMMS. Bi-directional sync. Weeks to deploy, not years.

Customer journey

Three phases to scheduled maintenance.

1

Assess

CMMS maturity review. Asset hierarchy and criticality map. Compliance calendar inventory.

2

Configure

Task decomposition, crew skill matrix, spare-parts linkage, bi-directional CMMS integration, Bodhee Production & QC event feeds.

3

Go Live

Parallel run by asset class. Calibrate. Expand scope area-by-area. Ongoing tuning with the reliability team.

How Bodhee Maintenance Scheduling is different

Three reasons this isn't a CMMS upgrade.

01

Scheduling layer, not system of record.

SAP PM, Maximo, and Infor EAM stay exactly where they are. Bodhee adds the optimisation layer they were never designed to provide.

02

Captures production and QC windows in real time.

Campaign transitions and OOS investigations open unplanned maintenance opportunities. Bodhee is the only scheduler that sees them — because it shares the Digital Twin.

03

True-duration modelling out of the box.

Shutdown, LOTO, task, qualification, restart — with the dependency graph. Not a single number for task duration.

More uptime. Same CMMS.

A 30-minute tour of Bodhee Maintenance Scheduling — window clustering, cross-functional coordination, and how it fits your CMMS.