Aklima Begum
501149 · Sr. Operator · Sewing Line-B03 · joined 19 Nov 2024
Pay justification
Only 70% on Make Collar With zig pattern — below the 70% qualifying line. Either put a trainer on it or move the worker to a process that suits them.
Skill and salary since joining — both indexed to 100
If the orange line falls below the blue one, pay has grown faster than measured capability.
Operation profile
Best recorded efficiency per operation
Skill inventory
Every operation this worker has been tested on — the basis for line allocation
| Operation | Category | M/C | Best eff. | Grade | Tests | Last |
|---|---|---|---|---|---|---|
| Attach collar | Critical | SNLS | 70.5 | B+ | 2 | 19 May 2026 |
| Make Collar With zig pattern | Critical | SNLS | 69.7 | B- | 4 | 19 May 2026 |
| Top st. at front pocket mouth | Semi-critical | DNLS | 61.1 | B- | 1 | 19 May 2026 |
Latest assessment — 19 May 2026
Assessment #4 · post training · assessor Shahidul Alam (IE)
| Operation | Category | M/C | Target /hr | Cycle times (sec) | Avg cycle | Achieved /hr | Efficiency | Grade | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Attach collar | Critical | SNLS | 100 | 51.2 | 50.5 | 50.5 | 52.7 | 50.4 | 51.05 | 71 | 70.5% | B+ |
| Make Collar With zig pattern | Critical | SNLS | 150 | 35.8 | 33.9 | 35.6 | 34.5 | 32.4 | 34.43 | 105 | 69.7% | B- |
| Top st. at front pocket mouth | Semi-critical | DNLS | 120 | 50.2 | 48.1 | 46.6 | 51.8 | 48.7 | 49.11 | 73 | 61.1% | B- |
Target /hr = 60 ÷ SMV. Achieved /hr = 3600 ÷ average cycle time. Efficiency = achieved ÷ target. Identical to the IE department's stop-watch method.
Assessment history
Complete audit trail
| # | Date | Type | Skill | Grade | Ops | Entitled |
|---|---|---|---|---|---|---|
| 4 | 19 May 2026 | post training | 66.1 | B- | 3 | 18,127 |
| 3 | 19 Nov 2025 | post training | 63.8 | B- | 2 | 17,839 |
| 2 | 19 May 2025 | periodic | 67.9 | B- | 1 | 17,696 |
| 1 | 19 Nov 2024 | joining | 56.5 | C | 1 | 17,208 |
Salary history
Every revision, with the skill level at the time
| Effective | Reason | From | To | Increase | Skill then |
|---|---|---|---|---|---|
| 19 Nov 2025 | annual increment | 16,621 | 18,200 | +9.5% | 63.8% |
| 19 Nov 2024 | joining | 0 | 16,621 | — | 56.5% |
Year-by-year record
The yearly average that drives every verdict
| Year | Avg skill | Skill Δ | Salary | Salary Δ | Gap | Verdict |
|---|---|---|---|---|---|---|
| 2026 | 65.0 | +2.4% | 18,200 | +7.8% | -45 | Partial |
| 2025 | 63.4 | +12.2% | 18,200 | +1.6% | +322 | Earned |
| 2024 | 56.5 | — | 16,621 | — | -626 | New |
Training record
Measured effect of each intervention
| Programme | Date | Hours | Before | After | Gain |
|---|---|---|---|---|---|
| Quality at Source | 25 Apr 2026 | 32 | 51.5 | 66.1 | +14.6 |
| Quality at Source | 19 Oct 2025 | 32 | 57.6 | 63.8 | +6.2 |
Personal file
From the IE assessment sheet and Jibika master