Experience
- 2 to 5 years
- The applicants should have experience in the following business area(s): Textile, Group of Companies, Dyeing Factory
Education
B.Sc. in Textile Engineering (Wet Processing preferred).
Industrial & Production Engineering graduates with textile experience may also be considered.
Requirements
- 2 to 5 years
- The applicants should have experience in the following business area(s): Textile, Group of Companies, Dyeing Factory
Additional Requirements
- Age 25 to 32 years
Strong knowledge of dyeing processes and machine capacities.
Knowledge of IE tools, time study, work study, and capacity planning.
Proficiency in Microsoft Excel, Power BI, and ERP systems.
Analytical and problem-solving skills.
Good communication and reporting abilities.
Ability to work under pressure and meet production targets.
Responsibilities & Context
Job Context:
AKH Knitting & Dyeing Ltd is a Knit composite factory. We want to recruit few dyeing IE Executive who is responsible for analyzing, monitoring, and improving dyeing production processes to achieve optimum productivity, efficiency, quality, and cost control. The role focuses on capacity planning, process optimization, manpower utilization, production monitoring, and continuous improvement activities within the dyeing department.
Key Responsibilities:
Monitor daily dyeing production against plan and target.
Calculate machine loading efficiency and capacity utilization.
Track batch processing times and identify bottlenecks.
Prepare daily, weekly, and monthly production performance reports.
Coordinate with Production, Planning, Laboratory, and Maintenance teams to ensure smooth workflow.
Conduct time and motion studies in dyeing operations.
Develop and update Standard Minute Value (SMV) and process standards where applicable.
Analyze machine efficiency, operator productivity, and resource utilization.
Identify non-value-added activities and recommend process improvements.
Implement lean manufacturing principles to reduce waste and improve efficiency.
Monitor dyeing cycle time and optimize production flow.
Work on reducing machine idle time and waiting time.
Analyze re-dyeing, correction, and reprocessing percentages.
Support continuous improvement initiatives and Kaizen projects.
Recommend cost-saving measures related to energy, water, chemicals, and manpower.
Prepare productivity and efficiency reports.
Analyze production losses, downtime, and operational efficiency.
Maintain KPI dashboards for dyeing operations.
Generate management reports with improvement recommendations.
Monitor dyeing process costs and productivity indicators.
Assist in reducing chemical consumption and process wastage.
Support budgeting and process optimization activities.