Overview
Industrial Engineer role at Micron Technology focused on capacity planning, equipment and labor planning, facility planning, and executive decision support for manufacturing operations.
What you'll do
- Develop and sustain capacity models for operations, including Base, Upside, Downside, Cost Optimization, and Government Commitment models.
- Carry out scenario analysis supporting business choices regarding demand, product variety, and capacity scaling.
- Analyze capacity restrictions and bottlenecks across various loading scenarios.
- Determine tool requirements based on forecast, UPH, OEE, utilization targets, and product mix.
- Identify equipment installation, transfer, and deployment plans to support capacity growth.
- Drive CAPEX optimization and avoidance opportunities through improved equipment utilization.
- Support tool procurement, transfer strategy, and long-range equipment roadmaps.
- Develop people models for direct and indirect labor requirements.
- Analyze headcount needs based on ramp plans, productivity assumptions, and automation initiatives.
- Support workforce planning, hiring strategies, and labor productivity improvements.
- Establish labor utilization and staffing optimization plans.
- Evaluate space requirements for future capacity expansion and business growth.
- Develop layout scenarios to optimize manufacturing footprint utilization.
- Support AutoCAD-based factory planning and equipment placement activities.
- Partner with Facilities teams on infrastructure readiness and expansion projects.
- Identify current and future manufacturing bottlenecks.
- Conduct sensitivity and risk analysis across multiple production scenarios.
- Develop mitigation plans including tool transfers, productivity improvements, alternate routing, and phased investments.
- Monitor tool utilization, labor utilization, OEE, and capacity balance.
- Analyze productivity gaps and recommend improvement opportunities.
- Lead capacity readiness planning for major ramps and site expansion programs.
- Coordinate equipment delivery, hook-up schedules, workforce readiness, and facility readiness.
- Track execution risks and readiness achievements to support successful ramp implementation.
- Present scenario outcomes, risks, opportunities, and recommendations to leadership.
- Develop dashboards and executive summaries for business reviews.
- Apply AI and advanced analytics to refine capacity planning, forecasting, and scenario evaluations.
- Build AI-based models to pinpoint bottlenecks, forecast capacity challenges, and optimize resource allocation.
- Use Generative AI tools (Copilot, Power BI Copilot, AI Agents, ChatGPT, etc.) to streamline planning processes.
- Employ machine learning approaches to advance demand forecasting, personnel planning, and tool utilization forecasts.
- Develop AI-powered dashboards to support real-time decisions and executive visibility.
- Introduce automated alerts addressing capacity, utilization, delivery, and ramp-readiness concerns.
- Promote digital transformation initiatives within Planning, IE, Facilities, and Manufacturing departments.
Details
- Location: Gujarat, India.
Read the full description and apply on the company’s own careers page.