Micron is hiring for the role of Industrial Engineer!
Responsibilities of the Candidate:
Develop and sustain capacity models for operations. Carry out scenario analysis that supports business choices regarding demand, product variety, and capacity scaling. Analyze capacity restrictions and bottlenecks across various loading scenarios. Construct Base, Upside, Downside, Cost Optimization, and Government Commitment models to ensure smooth planning and delivery.
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 to compete successfully in the industry.
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, ensuring seamless operations.
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. Provide proactive recommendations to ensure capacity readiness, mitigating risks effectively.
Monitor tool utilization, labor utilization, OEE, and capacity balance. Analyze productivity gaps and recommend improvement opportunities. Drive initiatives to improve bottleneck utilization and overall factory efficiency. Support continuous improvement through data-driven decision-making, achieving operational excellence.
Present scenario outcomes, risks, opportunities, and recommendations to leadership. Support strategic decisions related to capacity expansion, network loading, and investment planning. Develop dashboards and executive summaries for business reviews. Enable fact-based decision-making through advanced scenario modeling and analytics.
Requirements:
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 allocation of resources. Use Generative AI tools (Copilot, Power BI Copilot, AI Agents, ChatGPT, etc.) to streamline planning processes and increase efficiency.
Employ machine learning approaches to advance demand forecasting, personnel planning, and tool utilization forecasts. Develop AI-powered dashboards to support real-time decisions and provide executive visibility.
Introduce automated alerts addressing capacity, utilization, delivery, and ramp-readiness concerns. Promote digital transformation initiatives within Planning, IE, Facilities, and Manufacturing departments to guarantee effective delivery!
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