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HD
Supply Chain Capacity Analyst
Hdnn · Lafayette, IN, United States
About The Role
Manufacturing Capacity Planning
- Develop and maintain capacity models across multiple constrained resources, including labor, machinery, tooling, and material availability.
- Analyze demand versus available capacity to identify bottlenecks, constraints, and risks to production schedules.
- Support finite and infinite capacity planning processes, including scenario modeling and constraint-based analysis.
- Partner with production, engineering, and planning teams to align capacity plans with manufacturing capabilities and schedules.
- Assist in balancing workloads across production lines, shifts, and facilities to optimize throughput.
- Support Sales & Operations Planning (S&OP) and production planning processes with data-driven insights.
Capacity Reporting & Automation
- Design, build, and automate capacity reporting tools and dashboards to improve speed, accuracy, and usability.
- Create standardized reports to track utilization, efficiency, downtime, and throughput across manufacturing operations.
- Reduce manual reporting by implementing automated data flows, templates, and repeatable processes.
- Consolidate data from ERP, MES, and other systems into streamlined reporting solutions.
- Continuously improve reporting processes to enhance visibility into capacity constraints and opportunities.
Operations & Performance Analysis
- Track and analyze key manufacturing metrics such as capacity utilization, Overall Equipment Effectiveness (OEE), cycle times, and production output.
- Perform data validation and reconciliation to ensure consistency across systems and reports.
- Identify trends, inefficiencies, and root causes of capacity limitations or production delays.
- Provide insights and recommendations to support continuous improvement and operational efficiency initiatives.
- Respond to ad-hoc reporting and analysis requests from operations and supply chain leadership.
General Data & Collaboration Responsibilities
- Document data sources, assumptions, methodologies, and report logic.
- Collaborate cross-functionally with manufacturing, supply chain, procurement, and engineering teams to understand data and reporting requirements.
- Communicate findings clearly and effectively to both technical and non-technical stakeholders.
- Maintain data integrity and confidentiality of operational and business-sensitive information.
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