70% focus on
Capacity Models
Labor and overhead model
30% focus
Scrap Model
Cost Model
Job Description:
7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
Develop integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
Development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization
Build capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis
Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
COGS (cost of goods sold) modeling, including labor, overhead, scrap, and process-driven cost components
Design OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement
Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics
FlexSim, Anylogic, Simio
Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau)

Industrial Engineering Analytics Engineer

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