Rahela Nahar
501209 · Operator · Sewing Line-B08 · joined 13 Sept 2025
Pay justification
Primary plus one secondary skill. A single cross-training completes the 1 + 2 standard — the cheapest capability gain available on this worker.
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
At least three assessed operations are needed to draw the profile.
Skill inventory
Every operation this worker has been tested on — the basis for line allocation
| Operation | Category | M/C | Best eff. | Grade | Tests | Last |
|---|---|---|---|---|---|---|
| Flap Join | Semi-critical | SNLS | 75.8 | B+ | 1 | 13 Jun 2026 |
| Close Waistband Mouth L/R | Critical | SNLS | 72.0 | B+ | 4 | 13 Jun 2026 |
Latest assessment — 13 Jun 2026
Assessment #4 · post training · assessor Md. Rafiqul Islam (IE)
| Operation | Category | M/C | Target /hr | Cycle times (sec) | Avg cycle | Achieved /hr | Efficiency | Grade | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Close Waistband Mouth L/R | Critical | SNLS | 80 | 61.8 | 59.4 | 64.2 | 62.9 | 64.2 | 62.50 | 58 | 72.0% | B+ |
| Flap Join | Semi-critical | SNLS | 120 | 39.1 | 40.0 | 39.2 | 40.5 | 39.3 | 39.60 | 91 | 75.8% | 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 | 13 Jun 2026 | post training | 73.7 | B+ | 2 | 17,135 |
| 3 | 13 Mar 2026 | periodic | 68.4 | B- | 1 | 16,902 |
| 2 | 13 Dec 2025 | periodic | 67.4 | B- | 1 | 16,764 |
| 1 | 13 Sept 2025 | joining | 59.4 | C | 1 | 16,477 |
Salary history
Every revision, with the skill level at the time
| Effective | Reason | From | To | Increase | Skill then |
|---|---|---|---|---|---|
| 13 Sept 2025 | joining | 0 | 15,971 | — | 59.4% |
Year-by-year record
The yearly average that drives every verdict
| Year | Avg skill | Skill Δ | Salary | Salary Δ | Gap | Verdict |
|---|---|---|---|---|---|---|
| 2026 | 70.1 | +14.2% | 15,971 | +0.0% | -1244 | New |
| 2025 | 61.4 | — | 15,971 | — | -793 | New |
Training record
Measured effect of each intervention
| Programme | Date | Hours | Before | After | Gain |
|---|---|---|---|---|---|
| Quality at Source | 09 May 2026 | 9 | 59.0 | 73.7 | +14.6 |
Personal file
From the IE assessment sheet and Jibika master