Production Data Clerk at Silentnight Bedding

Production Data Clerk at Silentnight Bedding | Iko Kazi

Job Purpose:

The Production Data Clerk ensures accurate capture, entry, and reporting of production data within the manufacturing process. The role also prepares daily/weekly production schedules for each work Centre (Wire, Quilting, Fabric Sewing, Wood, Pillow & Packaging).

Key Responsibilities:

Data Recording & Entry

Accurately capture daily production outputs at each work centre.
Accurately Carry out Manufacturing transactions in Sage ERP.
Track and update raw material consumption (fabric, foam, wire, etc) against production orders.
Monitor WIP stock movements between work centres to maintain visibility.

Production Scheduling

Prepare and release production schedules for each work centre, balancing order priorities, capacity, and material readiness.
Update schedules to reflect changes caused by machine breakdowns, raw material shortages, or urgent orders.
Coordinate with supervisors to ensure schedule adherence and highlight risks.
Compare planned vs. actual output to identify performance gaps.

Data Validation & Reconciliation

Cross-check production logs with shop-floor reports to eliminate discrepancies.
Reconcile raw material consumption with finished mattress/bedding outputs.
Escalate abnormal variances (e.g., high scrap in cutting, overuse of quilting fabric) for investigation.

Reporting & Analytics

Prepare daily, weekly, and monthly production performance reports by work centre.
Provide KPIs such as efficiency, utilization, yield, downtime, and OTIF (On Time In Full).

Compliance & Documentation

Additional Duties

Perform any other relevant duties as may be assigned from time to time by Management.

KEY KPIs:

Real-time, accurate production data across all production work centres.
Effective schedules that optimize Bonnel, quilting, Mattress assembly, Wood and packaging capacities.
Timely and reliable production reports for management decision-making.
Full traceability of Raw Material movement, variances, and production outcomes.

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