Maintenance requests and preventive maintenance are fragmented
You keep fixing the same thing because there's no data-driven link between downtime events and maintenance actions.
Today, and with Frontlink.
Paper logbooks, WhatsApp messages, verbal requests to the maintenance team, and spreadsheets that track nothing systematically.
- From any downtime event, operators tap 'Create work request', pre-filled with machine, time, duration, and downtime reason.
- Maintenance team sees prioritised work requests with full production context: which machine, what happened, how long it's been down.
- Simple PM calendar with checklists for recurring maintenance tasks, assigned to maintenance technicians with due dates.
- MTBF and MTTR dashboards are derived automatically from downtime events and work completion timestamps.
- Maintenance history per machine builds over time, enabling data-driven decisions about repair vs. replace.
- Time to value
- 2–4 weeks
- Complexity
- Medium
- Works with machine counters
- Partial
The problem
- Who feels it most
Maintenance leads, operators who report issues verbally, and production managers who see recurring stops.
- Why ERP / WMS doesn't solve it
ERP maintenance modules are heavyweight and SMEs often don't adopt them. There's no linkage between real-time downtime events and work orders.
- How common is this?
Unplanned downtime affects the vast majority of manufacturers. Paper-based maintenance tracking remains the norm in SMEs.
Business impact
- Repeat stops from the same root cause, untracked MTBF/MTTR
- Spare parts not available because failures aren't predicted
- Reactive maintenance costs 3–5x more than planned maintenance
Frequently asked questions.
Who typically feels this problem?
Maintenance leads, operators who report issues verbally, and production managers who see recurring stops.
Why doesn't an ERP or WMS system solve this?
ERP maintenance modules are heavyweight and SMEs often don't adopt them. There's no linkage between real-time downtime events and work orders.
How does Frontlink solve this?
Create work requests from downtime events, track to completion. From any downtime event, operators tap 'Create work request', pre-filled with machine, time, duration, and downtime reason. Maintenance team sees prioritised work requests with full production context: which machine, what happened, how long it's been down. Simple PM calendar with checklists for recurring maintenance tasks, assigned to maintenance technicians with due dates. MTBF and MTTR dashboards are derived automatically from downtime events and work completion timestamps. Maintenance history per machine builds over time, enabling data-driven decisions about repair vs. replace.
How quickly does it deliver value?
Typical time to value: 2–4 weeks. Implementation complexity: Medium.
Which process takes you the most time?
Book a 30-minute call. We look at your own examples together.
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