Jorna Nahar
501236 · Operator · Sewing Line-C03 · joined 25 Jun 2023
Pay justification
Improving, but slower than the automatic increment. Agree a specific efficiency target before the next assessment.
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 cargo pocket | Critical | SNLS | 101.2 | A+ | 13 | 25 Jun 2026 |
| Front Part Panel Top Stitch | Semi-critical | 2NCS | 85.2 | A+ | 10 | 25 Jun 2026 |
| Welt Facing Attach | Semi-critical | SNLS | 82.1 | A | 2 | 25 Jun 2026 |
| Make Collar With zig pattern | Critical | SNLS | 78.9 | B+ | 7 | 25 Jun 2026 |
| Cargo Pocket Velcro (Value) Attach | Semi-critical | SNLS | 75.8 | B+ | 5 | 25 Jun 2026 |
Latest assessment — 25 Jun 2026
Assessment #13 · periodic · assessor Shahidul Alam (IE)
| Operation | Category | M/C | Target /hr | Cycle times (sec) | Avg cycle | Achieved /hr | Efficiency | Grade | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Attach cargo pocket | Critical | SNLS | 60 | 61.5 | 60.0 | 60.6 | 59.2 | 61.3 | 60.53 | 59 | 99.1% | A+ |
| Make Collar With zig pattern | Critical | SNLS | 150 | 32.9 | 30.1 | 33.1 | 29.5 | 33.0 | 31.70 | 114 | 75.7% | B+ |
| Welt Facing Attach | Semi-critical | SNLS | 150 | 28.2 | 31.3 | 30.1 | 28.3 | 31.3 | 29.83 | 121 | 80.5% | A |
| Front Part Panel Top Stitch | Semi-critical | 2NCS | 150 | 29.1 | 31.2 | 31.5 | 32.4 | 30.9 | 31.03 | 116 | 77.3% | B+ |
| Cargo Pocket Velcro (Value) Attach | Semi-critical | SNLS | 80 | 60.1 | 60.6 | 60.8 | 57.3 | 58.1 | 59.38 | 61 | 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 |
|---|---|---|---|---|---|---|
| 13 | 25 Jun 2026 | periodic | 83.2 | A | 5 | 17,509 |
| 12 | 25 Mar 2026 | periodic | 84.5 | A | 5 | 17,418 |
| 11 | 25 Dec 2025 | periodic | 82.5 | A | 4 | 17,253 |
| 10 | 25 Sept 2025 | periodic | 82.3 | A | 4 | 17,130 |
| 9 | 25 Jun 2025 | periodic | 81.8 | A | 4 | 16,997 |
| 8 | 25 Mar 2025 | periodic | 84.0 | A | 3 | 16,925 |
| 7 | 25 Dec 2024 | periodic | 80.1 | A | 3 | 16,721 |
| 6 | 25 Sept 2024 | post training | 89.7 | A+ | 2 | 16,801 |
| 5 | 25 Jun 2024 | periodic | 86.3 | A+ | 2 | 16,610 |
| 4 | 25 Mar 2024 | periodic | 82.1 | A | 2 | 16,402 |
| 3 | 25 Dec 2023 | periodic | 81.9 | A | 1 | 16,279 |
| 2 | 25 Sept 2023 | post training | 77.4 | B+ | 1 | 16,068 |
| 1 | 25 Jun 2023 | joining | 71.1 | B+ | 1 | 15,822 |
Salary history
Every revision, with the skill level at the time
| Effective | Reason | From | To | Increase | Skill then |
|---|---|---|---|---|---|
| 25 Jun 2026 | annual increment | 19,182 | 21,100 | +10.0% | 83.2% |
| 25 Jun 2025 | annual increment | 17,679 | 19,182 | +8.5% | 81.8% |
| 25 Jun 2024 | annual increment | 16,145 | 17,679 | +9.5% | 86.3% |
| 25 Jun 2023 | joining | 0 | 16,145 | — | 71.1% |
Year-by-year record
The yearly average that drives every verdict
| Year | Avg skill | Skill Δ | Salary | Salary Δ | Gap | Verdict |
|---|---|---|---|---|---|---|
| 2026 | 83.5 | +1.5% | 21,100 | +7.3% | +3511 | Partial |
| 2025 | 82.3 | -3.1% | 19,182 | +8.9% | +1929 | Not justified |
| 2024 | 84.8 | +12.6% | 17,679 | +5.5% | +958 | Earned |
| 2023 | 75.3 | — | 16,145 | — | -134 | New |
Training record
Measured effect of each intervention
| Programme | Date | Hours | Before | After | Gain |
|---|---|---|---|---|---|
| Quality at Source | 21 Aug 2024 | 21 | 83.6 | 89.7 | +6.1 |
| Line Balancing Awareness | 28 Aug 2023 | 33 | 65.2 | 77.4 | +12.3 |
Personal file
From the IE assessment sheet and Jibika master