Overview

• Department: Quality. Project aim: implementation of an SPC (Statistical Process Control) system in ALVA's sewing process.
• Main objective: define the SPC system, simulate it on selected production lines, validate simulation results and produce a concrete implementation plan for deployment.

Main Tasks & Deliverables

• Define the SPC framework: selection of key quality characteristics, sampling plans, control chart types and specification limits adapted to sewing operations.
• Simulate SPC on selected production lines: collect or synthesize process data, build control charts, run simulation scenarios and evaluate performance (false alarms, detection capability).
• Validate simulations: compare simulated outcomes with existing production/inspection data, refine parameters and produce validation reports.
• Produce implementation plan: step-by-step rollout plan, required resources, training needs, data collection procedures and KPIs for monitoring post-implementation.

Profile & Required Skills

• Education: Master/Engineering degree in industrial engineering, quality, textile engineering or related field.
• Technical skills: basic knowledge of Statistical Process Control (SPC), understanding of quality tools (control charts, defect measurement), good data analysis skills (Excel or similar).
• Personal skills: problem-solving and analytical thinking, comfortable with manufacturing processes and handling production data.

Logistics & Additional Information

• Number of trainees: 1 intern.
• Expected duration: 6 months (4-6 months as stated).
• Expected activities: data collection from sewing lines, creation of control charts, root-cause analysis exercises, preparation of training/materials for shop-floor teams and final implementation roadmap.

Contact to apply

• Application contact: recrutement.alva@topnet.tn
• Application link: mailto:recrutement.alva@topnet.tn