TMP Line Setup Selection Unit Reduces Changeover Frequency
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Solution Overview
Problem
The semiconductor manufacturing industry faces significant capacity loss and inefficiency due to the high number of setup changes required in the test, mark, and pack (TMP) process, driven by high product mix and uncertain customer demands, which complicates scheduling and leads to reduced throughput and profitability.
Innovation Solution
A method and system that utilize a setup selection unit to determine production targets and queue levels, selecting the appropriate device type for processing based on production targets and setup time, and configuring tools accordingly to minimize setup changes and optimize production line efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of device types and customer requirements is increased to meet diverse market demands, then product variety and customer satisfaction are improved, but the number of setup changes increases significantly, reducing throughput and facility utilization
Solution Approach 1:
The system performs preliminary actions by pre-calculating setup sequences and scheduling device configurations before actual production begins. The setup selection unit anticipates future setup requirements and prepares configuration plans in advance, reducing on-the-fly setup changes and improving throughput while maintaining product variety.
Solution Approach 2:
The system dynamically adjusts setup sequences and device configurations based on real-time production status, queue levels, and incoming orders. The setup selection unit continuously optimizes the production schedule by considering current work-in-progress inventory and future demand patterns, allowing flexible adaptation to changing requirements without significant setup disruption.
2Productivity
If setup changes are minimized to improve facility utilization and throughput, then productivity is improved, but the ability to respond to diverse customer requirements and product mix decreases
Solution Approach 1:
The system implements feedback mechanisms where the setup selection unit continuously monitors production queue levels, work-in-progress inventory, and incoming order patterns. This feedback information is used to dynamically adjust setup schedules and device configurations, ensuring that facility utilization is optimized while maintaining the ability to respond to diverse customer requirements through data-driven decision making.
3Ease of manufacture
If lot scheduling techniques are used to manage production, then production planning is simplified, but the high uncertainty in future process flow and customer demand makes accurate scheduling difficult and less effective
Solution Approach 1:
The system performs preliminary analysis of production requirements, queue levels, and inventory profiles before scheduling begins. The setup selection unit pre-calculates optimal setup sequences and configurations based on current and forecasted demand patterns, creating more reliable schedules that account for uncertainties in future process flow and customer requirements.
Solution Approach 2:
The scheduling system dynamically adapts to changing production conditions by continuously monitoring queue levels, work-in-progress status, and incoming orders. This dynamic adjustment capability allows the system to maintain scheduling accuracy despite high uncertainty in future process flow, as the schedule evolves in response to actual production status and customer demand patterns.
Data Source
AI summary
A method includes determining production targets for devices of different types in a production line. A queue level of devices of a first type that have completed performance of a first operation configured in accordance with a first setup state in the production line and await performance of a second operation in the production line is determined. Based on the determined queue level, a second type of device is selected for subsequent processing in the first operation based on the production targets and a setup time associated with configuring the first operation from the first setup state to a second setup state associated with the second type of device. The first operation is configured in accordance with the second setup state for processing devices of the second type.