Md. Abdul Haque
500704 · Team Leader · Sewing Line-B04 · joined 18 May 2021
Pay justification
Only 57% on Attach collar — 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 |
|---|---|---|---|---|---|---|
| Top st. at welt pocket top | Semi-critical | SNLS | 61.1 | B- | 8 | 18 May 2026 |
| Close collar bottom | Critical | SNLS | 57.7 | C | 7 | 18 May 2026 |
| Attach collar | Critical | SNLS | 56.7 | C | 11 | 18 May 2026 |
| Bottom Hem | Critical | SNLS | 53.2 | C | 9 | 18 May 2026 |
Latest assessment — 18 May 2026
Assessment #11 · periodic · assessor Kamrul Hasan (IE)
| Operation | Category | M/C | Target /hr | Cycle times (sec) | Avg cycle | Achieved /hr | Efficiency | Grade | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Close collar bottom | Critical | SNLS | 100 | 62.9 | 60.6 | 62.0 | 65.1 | 61.3 | 62.37 | 58 | 57.7% | C |
| Attach collar | Critical | SNLS | 100 | 61.7 | 64.0 | 63.2 | 61.4 | 67.0 | 63.47 | 57 | 56.7% | C |
| Bottom Hem | Critical | SNLS | 120 | 55.6 | 56.6 | 57.1 | 54.9 | 57.5 | 56.37 | 64 | 53.2% | C |
| Top st. at welt pocket top | Semi-critical | SNLS | 100 | 61.4 | 59.0 | 62.7 | 59.6 | 51.7 | 58.89 | 61 | 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 |
|---|---|---|---|---|---|---|
| 11 | 18 May 2026 | periodic | 58.2 | C | 4 | 18,880 |
| 10 | 18 Nov 2025 | periodic | 53.7 | C | 4 | 18,569 |
| 9 | 18 May 2025 | post training | 54.8 | C | 4 | 18,337 |
| 8 | 18 Nov 2024 | periodic | 55.1 | C | 4 | 18,106 |
| 7 | 18 May 2024 | periodic | 53.9 | C | 4 | 17,872 |
| 6 | 18 Nov 2023 | periodic | 54.1 | C | 4 | 17,639 |
| 5 | 18 May 2023 | periodic | 52.6 | C | 4 | 17,407 |
| 4 | 18 Nov 2022 | periodic | 50.1 | C | 3 | 17,174 |
| 3 | 18 May 2022 | periodic | 47.5 | D | 2 | 16,942 |
| 2 | 18 Nov 2021 | periodic | 49.9 | D | 1 | 16,709 |
| 1 | 18 May 2021 | joining | 50.1 | C | 1 | 16,477 |
Salary history
Every revision, with the skill level at the time
| Effective | Reason | From | To | Increase | Skill then |
|---|---|---|---|---|---|
| 18 May 2026 | annual increment | 21,938 | 23,912 | +9.0% | 58.2% |
| 18 May 2025 | annual increment | 20,127 | 21,938 | +9.0% | 54.8% |
| 18 May 2024 | annual increment | 18,465 | 20,127 | +9.0% | 53.9% |
| 18 May 2023 | annual increment | 16,940 | 18,465 | +9.0% | 52.6% |
| 18 May 2022 | annual increment | 15,400 | 16,940 | +10.0% | 47.5% |
| 18 May 2021 | joining | 0 | 15,400 | — | 50.1% |
Year-by-year record
The yearly average that drives every verdict
| Year | Avg skill | Skill Δ | Salary | Salary Δ | Gap | Verdict |
|---|---|---|---|---|---|---|
| 2026 | 55.9 | +2.3% | 23,912 | +7.5% | +4916 | Partial |
| 2025 | 54.7 | +1.0% | 21,938 | +9.0% | +3330 | Partial |
| 2024 | 54.1 | +4.1% | 20,127 | +9.0% | +1982 | Partial |
| 2023 | 52.0 | +6.7% | 18,465 | +9.3% | +787 | Partial |
| 2022 | 48.7 | -2.7% | 16,940 | +6.7% | -273 | Not justified |
| 2021 | 50.1 | — | 15,400 | — | -1348 | New |
Training record
Measured effect of each intervention
| Programme | Date | Hours | Before | After | Gain |
|---|---|---|---|---|---|
| Line Balancing Awareness | 12 Apr 2025 | 19 | 40.6 | 54.8 | +14.1 |
Personal file
From the IE assessment sheet and Jibika master