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Cycle time reduction is crucial for semiconductor wafer fabrication companies to maintain competitive advantages as the semiconductor industry is becoming more dynamic and changing faster. According to Little's Law, while maintaining the same throughput level, the reduction in Work-in-Process (WIP) will result in cycle time reduction. On one hand, the existing queueing models for predicting the WIP...
This study aims to develop a methodology for predicting cycle time based on domain knowledge and data mining algorithms given production status including WIP, throughput. The proposed model and derived rules were validated with real data and demonstrated its practical viability for supporting production planning decisions
This study develops a decision support system for delivery mode based on the relationship of entire supply chain of backend in semiconductor industry. In particular, it is a critical decision for delivery mode including quantity and timing in the supply chain operations for semiconductor industry. In practice, the existing way relies on engineer's experience to making decisions and taking more than...
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