About the role
AI summarisedAs a Global Planning Modeling Engineer, you will serve as a central contact for the Manufacturing network, calculating and communicating capital impacts of process changes to senior leaders in manufacturing and R&D. You will drive execution of manufacturing and cost savings processes by connecting various parts of the business, including Supply Chain, Finance, Engineering, Procurement, Production, and planning.
IDMOnsiteFront End
Key Responsibilities
- Optimize capacity of installed equipment and lead site- and tool-level optimization studies for throughput enhancement.
- Collaborate with partners to understand future tool and process roadmaps, and calculate network capacity impacts of process changes.
- Manage, audit, and validate Probe capacity models and systems to determine network capital requirements.
- Complete financial analysis before new capital equipment is purchased, including metrics optimization, process flexibility, capacity sharing, and equipment repurpose.
- Manage network tool utilization strategies to optimize the company's deployed capital.
- Communicate capacity metrics and strategies to all relevant stakeholders, driving accountability and monitoring key performance indicators plan over plan.
- Design, track, and communicate capital change proposals to manufacturing senior leaders through reporting tools (e.g., Tableau) and formal presentation.
- Build and implement tools to audit manufacturing capital efficiency and identify cost reduction opportunities across the company.
- Manage and communicate improvement opportunities and implementation plans to all relevant levels and functions in manufacturing.
- Utilize new (e.g., Python) and traditional (Excel, VBA) methods to improve and automate tasks in planning systems/models.
Requirements
- Master's degree in Industrial Engineering, Operations Research, Supply Chain, or a related field.
- Completion of a university-level course, research project, internship, or thesis, OR 6 months of relevant experience involving:
- Operations Research skills (Linear Programming, Queuing Theory, Statistical Analysis, or Theory of Constraints).
- Data analysis and Statistical packages (JMP, MINITAB, R, Python, Tableau, PL, or SQL).
- Knowledge of Production Planning and Inventory Control Strategies (BTO/BTT/BTF, Risk Pooling, EOQ, Lot Sizing, or MRP).
- Supply Chain Skills (lean manufacturing, Customer service measures, or safety stock management).
- Exposure to Project Management techniques (CPM, PERT, or Scheduling).