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Hybrid Systems Automation Engineer (Entry-level)
Applied Materials · Singapore,SGP, Singapura · Hybrid
Hybrid Production Control and Planning
Applied Materials · Singapore,SGP, Singapura · Hybrid
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Patrocinado por CareerFoundryKey Responsibilities
Employees must specialize in planning activities involving production control, inventory control, process control, or shop floor control / Material Resources Planning (MRP) integrity.
Maintains SAP work order release schedule that provides material on-time to manufacturing and engineering. Reschedules and/or completes no-charge, all discrete jobs as required.
Increases component availability at time of release by performing pre-shortage analysis. Performs work order variance analysis.
Reviews MRP execution and ensures accuracy of information; reconciles supply and demand; validates master scheduling and/or PDS requirements. Reviews and ensures proper disposition of Engineering Change Orders (ECO's). Prepares status reports of all ECOs and ECRs in process.
Participates in floor audits with Finance and resolves WIP issues. Attends production meetings and provides status on material shortage commit dates.
Works with engineers to manage materials for special engineering projects. May work with work centers on shop floor control activities.
Inventory Control – Analyzes usage data and stock levels to order parts to satisfy service levels; maintains inventory levels per plan and expedites shortages; may forecast spare parts needs. Examines material variances, resolves problems where possible, and/or communicates more difficult problems to management. Assists in setting up new inventory systems or modifying existing systems, when necessary; assigns appropriate expediting duties to expediters. May manage obsolete inventories.
Process Control – Participates in identifying root cause and corrective action from PCI reporting and metrics, drives cycle counting.
Data analysis and forecasting – May lead in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources. Performs ad-hoc statistical and data-mining analysis. Create visualization using Tableau. Working closely with business user to understand the needs and requirements, convert data into action items with the knowledge in Python, SQL, or equivalent tool.
Qualifications
Education:
Bachelor's DegreeSkills:
Certifications:
Languages:
Years of Experience:
2 - 4 YearsWork Experience:
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Not SpecifiedRelocation Eligible:
NoApplied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
