Md. Kabir Islam
501340 · Operator · Sewing Line-B01 · joined 20 Dec 2022
Pay justification
Only 65% on Close Waistband Mouth L/R — 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 |
|---|---|---|---|---|---|---|
| Close Waistband Mouth L/R | Critical | SNLS | 64.9 | B- | 15 | 20 Jun 2026 |
| J Round | Semi-critical | DNLS | 63.3 | B- | 9 | 20 Jun 2026 |
| Waist Band Edge Close | Critical | SNLS | 61.5 | B- | 12 | 20 Jun 2026 |
Latest assessment — 20 Jun 2026
Assessment #15 · periodic · assessor Tania Sultana (IE)
| Operation | Category | M/C | Target /hr | Cycle times (sec) | Avg cycle | Achieved /hr | Efficiency | Grade | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Close Waistband Mouth L/R | Critical | SNLS | 80 | 71.7 | 75.1 | 70.4 | 73.1 | 71.2 | 72.31 | 50 | 62.2% | B- |
| Waist Band Edge Close | Critical | SNLS | 80 | 71.9 | 69.7 | 69.9 | 78.9 | 75.4 | 73.17 | 49 | 61.5% | B- |
| J Round | Semi-critical | DNLS | 250 | 23.4 | 24.0 | 23.0 | 23.9 | 25.3 | 23.92 | 151 | 60.2% | 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 |
|---|---|---|---|---|---|---|
| 15 | 20 Jun 2026 | periodic | 61.1 | B- | 3 | 17,263 |
| 14 | 20 Mar 2026 | periodic | 61.1 | B- | 3 | 17,145 |
| 13 | 20 Dec 2025 | periodic | 59.9 | C | 3 | 17,001 |
| 12 | 20 Sept 2025 | periodic | 60.6 | B- | 3 | 16,900 |
| 11 | 20 Jun 2025 | periodic | 58.5 | C | 3 | 16,739 |
| 10 | 20 Mar 2025 | periodic | 58.6 | C | 3 | 16,622 |
| 9 | 20 Dec 2024 | periodic | 58.6 | C | 3 | 16,506 |
| 8 | 20 Sept 2024 | periodic | 57.4 | C | 3 | 16,363 |
| 7 | 20 Jun 2024 | periodic | 56.0 | C | 3 | 16,217 |
| 6 | 20 Mar 2024 | periodic | 56.3 | C | 2 | 16,108 |
| 5 | 20 Dec 2023 | periodic | 55.8 | C | 2 | 15,982 |
| 4 | 20 Sept 2023 | periodic | 49.3 | D | 2 | 15,849 |
| 3 | 20 Jun 2023 | periodic | 55.0 | C | 1 | 15,733 |
| 2 | 20 Mar 2023 | post training | 50.8 | C | 1 | 15,616 |
| 1 | 20 Dec 2022 | joining | 47.9 | D | 1 | 15,500 |
Salary history
Every revision, with the skill level at the time
| Effective | Reason | From | To | Increase | Skill then |
|---|---|---|---|---|---|
| 20 Dec 2025 | annual increment | 18,067 | 19,783 | +9.5% | 59.9% |
| 20 Dec 2024 | annual increment | 16,575 | 18,067 | +9.0% | 58.6% |
| 20 Dec 2023 | annual increment | 15,137 | 16,575 | +9.5% | 55.8% |
| 20 Dec 2022 | joining | 0 | 15,137 | — | 47.9% |
Year-by-year record
The yearly average that drives every verdict
| Year | Avg skill | Skill Δ | Salary | Salary Δ | Gap | Verdict |
|---|---|---|---|---|---|---|
| 2026 | 60.8 | +2.7% | 19,783 | +8.6% | +2442 | Partial |
| 2025 | 59.2 | +4.6% | 19,783 | +9.1% | +2782 | Partial |
| 2024 | 56.6 | +10.1% | 18,067 | +9.4% | +1561 | Earned |
| 2023 | 51.4 | +7.3% | 16,575 | +0.8% | +593 | Earned |
| 2022 | 47.9 | — | 15,137 | — | -363 | New |
Training record
Measured effect of each intervention
| Programme | Date | Hours | Before | After | Gain |
|---|---|---|---|---|---|
| Quality at Source | 15 Feb 2023 | 22 | 41.0 | 50.8 | +9.8 |
Personal file
From the IE assessment sheet and Jibika master