Qureos

FIND_THE_RIGHTJOB.

Senior Specialist Engineer – Industrial Engineering

Karachi, Pakistan

Key Responsibilities:

• Conduct detailed time studies, line balancing, and process flow analyses for high-volume appliance production lines (e.g., refrigerators, washing machines, ACs).

• Perform plant capacity calculations to guide production scalability and investment planning.

• Calculate man-hour (MH) analysis, headcount (HC) planning, and overtime (OT) forecasting to ensure efficient resource deployment.

• Develop and optimize production line layouts for maximum efficiency and ergonomic compliance.

• Drive implementation of lean manufacturing practices (5S, Kaizen, Kanban, SMED, etc.) to minimize waste and enhance throughput.

• Utilize data visualization tools (e.g., Power BI, Tableau) and AI-enabled analytics platforms for real-time monitoring, forecasting, and reporting of KPIs.

• Collaborate with cross-functional teams to support automation, smart factory initiatives, and Industry 4.0 adoption.

• Support New Product Introduction (NPI) through process planning, work instruction development, and trial runs.

• Use simulation tools, AutoCAD, and MOST to model and improve production flows.

• Create and maintain SOPs, work standards, and training documentation.

• Track, analyze, and report KPIs such as labor efficiency, productivity, OEE, and downtime.


Requirements:

• B.E. in Industrial Engineering (mandatory).

• 6–8 years of experience in industrial engineering within white goods/home appliances or similar discrete manufacturing industries.

• Strong proficiency in plant capacity planning, MH/HC/OT analysis, and labor productivity modeling.

• Expertise in AutoCAD (mandatory), MOST, and industrial simulation tools.

• Experience with data visualization and AI tools for manufacturing analytics (e.g., Power BI, Tableau, or Python-based AI dashboards).

• Solid understanding of lean and continuous improvement principles.

• Familiarity with SAP systems in a factory environment.

• Strong problem-solving, statistical analysis, and project management skills.

• Excellent communication and collaboration skills.

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