Context
Coconut cream extraction line in a food manufacturing plant. As production supervisor with an electrical engineering background, I was responsible for daily output, equipment condition and process performance across the production process area.
Extraction performance in the coconut cream process area was inconsistent shift to shift. Output varied without a clear, documented cause, which made planning unreliable and made it hard to tell whether a given day's result came from the raw material, the equipment or the operating method.
- ▸Yield varied between shifts running the same nominal settings
- ▸Parameters were adjusted by feel rather than to a documented standard
- ▸Downtime and equipment issues were reported informally, hiding recurring faults
- ▸No single record tied operating conditions to the resulting extraction outcome
I treated it as an engineering problem rather than a staffing problem: measure first, isolate the variables, then change one thing at a time.
- ▸Mapped the process flow end to end and listed every operator decision point
- ▸Started a daily log of input volume, settings, run time, downtime and output
- ▸Compared shifts and batches to separate material variation from method variation
- ▸Reviewed equipment condition and maintenance history against the weakest days
- ▸Ran controlled adjustments on the highest-impact parameters, holding the rest fixed
Technical work in the production process area was carried out alongside process changes agreed with the production team, so improvements survived shift handover.
- ▸Standardised extraction parameters and posted them at the line
- ▸Introduced a shift checklist for start-up condition, parameters and downtime logging
- ▸Prioritised the maintenance items most closely linked to unstable runs
- ▸Trained operators on why each parameter mattered, not only what to set
- ▸Reviewed the daily log with the team so deviations were caught the same day
The process area achieved high extraction yields — and the result became repeatable. Performance stopped depending on which shift was running, deviations were caught the same day instead of at month end, and the production plan became something the team could commit to.
- ▸High extraction yields achieved in coconut cream production
- ▸Reduced shift-to-shift variation in output
- ▸Downtime made visible and prioritised instead of reported informally
- ▸A written operating standard the team continued to follow