Drive fast feedback to production line in case of deviation, dentification of source and fast feedback and subsequently pursue for the prevention. Lead 8D.
Lead/support technology synchronization, maintenance of technology FMEA
Support and provide containment and improvement plan for customer issue.
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Identify and implement process improvements, new technologies, and best practices to optimise workflows and reduce costs.
Collaborate with Engineering, Supply Chain, Quality Assurance, Procurement, and other cross-functional teams to ensure seamless manufacturing operations.
Develop and manage a high-performing team through effective recruitment, coaching, development, and performance management.
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Leads internal cross-functional teams to develop best solutions regarding technology/ innovation & TCO using value proposition methods(e.g. Feature Analysis, Technical Benchmark) and contributes to optimizing the processes between Operations, R&D, Business Unit and Procurement
Ensure Continuous Improvement through interdisciplinary collaboration across locations with areas like R&D, marketing, logistics and quality management to optimize yield, reliability, quality & cost
Develop and Drive Digitalization procedures and Automation for enhancements of silicon wafer qualification processes
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Troubleshoot moulding defects such as flash, short shot, sink marks, warpage, burn marks, weld lines, bubbles, and dimensional variations using scientific moulding principles.
Plan and executive preventive maintenance activities for injection moulding machines, moulds, hot runner systems and auxiliary equipment. Work closely with mould makers for repairs and modification.
Prepare and maintain documentation, procedure, control plan, risk analysis, troubleshooting SOP and guideline accordingly to ISO13485 standard.
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Monitor machine alarms and equipment abnormalities, analyse recurring alarms, and coordinate troubleshooting and corrective actions with the engineering and production teams.
Manage and monitor spare parts requirements, including spare parts identification, purchasing, stock monitoring, minimum stock levels, and replenishment.
Collect and analyse equipment data to identify equipment-related losses, downtime, alarms, and yield issues.
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• Support customer technical inquiries, product evaluations, qualification activities, and technical issue resolution.
• Analyze manufacturing, process, and quality data to identify trends, abnormalities, root causes, and improvement opportunities.
• Develop dashboards, reports, and visualization tools using Microsoft Excel, Power BI, Python, SQL, VBA, or similar platforms to support engineering decision-making.
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