# Kvik: Maximizing uptime and efficiency with usage-based maintenance through OptiPeople Data Platform

> Kvik services machines by operating hours, not the calendar: 5% more uptime and about 4 fewer services a year on machines that run 24/7.

URL: https://optipeople.com/blog/kvik-maximizing-uptime-and-efficiency-with-usage-based-maintenance-through-opticloud

OptiPeople Team, 2024-12-18

## At a glance

Kvik uses OptiPeople Data Platform to move from time-based maintenance to usage-based maintenance, increasing uptime while reducing unnecessary service work.

## The challenge

Kvik faced two related problems.

### Maintenance planning

- wasted time during maintenance
- maintenance based on fixed time intervals

### Uptime visibility

- lack of clarity on uptime
- no clear insight into downtime causes
- manual entry of downtime reasons
- invalid data

## How OptiPeople Data Platform is used

Kvik uses the OptiPeople Data Platform service module to trigger maintenance notifications based on desired operating hours instead of fixed time intervals.

The module sends an email to a dedicated Outlook calendar. A day is automatically booked seven days ahead, giving the service team time to plan the exact maintenance date.

## The result

### Extra production time

For machines running 24/7, Kvik sees approximately **4 fewer services per year**, corresponding to around **40 additional production hours annually**.

For machines with single-shift operation or less, service time is reduced by around **50%**.

### Increased uptime

Kvik also reports:

- **5% higher uptime**
- automatic downtime cause logging
- valid and reliable data
- microstop tracking
- fewer interruptions

> "We use the OptiPeople Data Platform service module to send notifications. We now perform maintenance based on desired operating hours instead of fixed time intervals. This makes us much more efficient and saves us unnecessary maintenance and downtime."

> "The OptiPeople Data Platform service module sends an email to a dedicated Outlook calendar. A day is automatically booked 7 days ahead in the calendar. The service team then has 7 days to plan the exact day for performing maintenance on the machine."

Stefan Lindell  
Lean Project Manager, Kvik