Executive summary
35%
median local-staff salary rise at Panasonic's Singapore operation after three years of cobotisation
50–70%
of qualifying capital costs the Enterprise Development Grant funded, until it closed in September 2026
Key conclusions
- The case is real only where three conditions hold at the same time: high repetition, ergonomically poor work and stable product geometry.
- Low-volume, high-mix work fails without anyone noticing. Changeover and reprogramming time uses up the labour saving, and without a recorded baseline nobody checks.
- Panasonic and Multi-Wing CZ both automated the repetitive station first and moved people into supervision and judgement work.
Most robotics proposals for SME factories are evaluated on the wrong question. The right question is whether the task shown at the trade show repeats often enough, and consistently enough, for the investment to pay back before the product line changes.
If the answer is wrong, the robot cell waits behind a reprogramming backlog that nobody budgeted for. If it is right, the cell takes over the shift that nobody wants to work.
The case is real only when three conditions hold together
All three conditions must hold at the same time:
- High repetition: the same motion, hundreds or thousands of times a shift.
- Ergonomically poor work: repetitive lifting or awkward reaching that already causes injury claims and absenteeism.
- Stable product geometry, so that the end-of-arm tooling and the programme do not need rework every time the SKU changes.
Low-volume, high-mix work rarely pays back
Low-volume, high-mix work is where the case fails, and the failure is easy to miss. A cell built to show flexibility across a handful of SKUs a month rarely earns back its capital. Changeover and reprogramming time uses up the labour saving that the cell was meant to deliver. The project is never cancelled. It runs below the productivity the proposal promised, and nobody checks because no baseline was recorded to check against.
Successful projects automate the repetitive station first
Panasonic's Singapore operation is a useful example because it explains how the change worked. Over three years, with support from the Economic Development Board, the company moved from manual lines to what it calls "cobotisation", in which workers were retrained to work alongside the machines. The median salary of its local staff rose 35 percent as the workforce moved into supervision, programming and exception-handling roles that the automation created.
Multi-Wing CZ's Singapore plant builds tailor-made ventilation systems. It put cobots on the strenuous, repetitive stations of its line and moved people onto work that needed judgement. Both companies automated the high-repetition, ergonomically poor station first. Neither tried to automate the variable work.
We have delivered the same type of project ourselves. At Raymang Eggs, the robotics line funded by the Enterprise Development Grant (EDG) automated the repetitive, high-volume handling stations. This matches what the EDG's own criteria ask for: a defined business problem.
Answer four questions before committing capital
| Question | What it should show |
|---|---|
| Repetition | Cycles per shift, sustained over months |
| Variability | How many SKU or format changes the line sees per quarter |
| Consequence today | Injury claims, absenteeism or turnover already attributable to this specific task |
| Baseline | A recorded OEE (overall equipment effectiveness) or labour-hours figure before the cell goes in; without it, nobody can verify an improvement |
A grant reduces the capital risk but does not change which tasks to automate
For a standard SME project, Enterprise Singapore funds up to 50 percent of qualifying costs under the Enterprise Development Grant. From April 2023, a sustainability-linked project could claim up to 70 percent; that window closed at the end of March this year. The EDG itself is being phased out. Enterprise Singapore is merging it with the Productivity Solutions Grant and Market Readiness Assistance into a single grant, EDGE, which launches later this year. (Updated 23 October 2026: EDGE launched on 30 September 2026.)
None of this changes which tasks are worth automating. It changes how much of the capital risk the operator carries while it tests the case. A grant can make a marginal case fundable, but it cannot make a bad case good. This argument can be tested. A robotics proposal justified mainly on flexibility across a variable product mix, with no baseline measured before commissioning, is the proposal most likely to run below its planned utilisation within a year. In any factory, you can check this by asking whether a baseline was ever recorded.
