Industrial Engineer | Lean & Continuous Improvement

AIRSYS North America, LLC; Northern (KY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

AIRSYS North America, LLC is seeking an Industrial Engineer with about 5 years of manufacturing experience to boost productivity, optimize labor utilization, eliminate waste, and support operational excellence at a Woodruff, SC site.

You will develop labor standards, manage MBOMs, and partner with multiple teams to drive Lean improvements and data-driven decisions using Power BI and other tools.

Qualifications

• Bachelor's degree in Industrial, Manufacturing, or related Engineering.
• 3–5 years of manufacturing Industrial Engineering experience.
• Experience with labor standards, workflow analysis, line balancing, Lean.
• Strong analytical, communication, and problem-solving skills.
• AutoCAD/layout software, one simulation s/w (FlexSim/Arena/Simio), Power BI, and Minitab.

Responsibilities

• Conduct work measurement using stopwatch studies, MTM, MOST, and time studies.
• Develop and maintain labor standards and staffing models.
• Perform method studies to eliminate waste and improve ergonomics.
• Create standard work and balance production lines.
• Analyze workflows from receiving through shipping.
• Perform manufacturing data analysis (cycle time, takt time, OEE, downtime, labor efficiency, utilization).
• Lead waste/loss elimination and Kaizen events.
• Design efficient material flow, routing, point-of-use inventory, Kanban, and supermarkets.

Skills

Analytical skills

Communication

Problem-solving

Education

Bachelor's degree in Industrial, Manufacturing, or related Engineering

Tools

AutoCAD

FlexSim

Arena

Simio

Power BI

Minitab

SAP

Oracle

Job description

AIRSYS North America, LLC is seeking an Industrial Engineer with about 5 years of manufacturing experience to boost productivity, optimize labor utilization, eliminate waste, and support operational excellence at a Woodruff, SC site.

You will develop labor standards, manage MBOMs, and partner with multiple teams to drive Lean improvements and data-driven decisions using Power BI and other tools.