Data Collection Plan in the Semiconductor Backend Manufacturing

In semiconductor manufacturing, quality data collection is critical for ensuring process stability and product consistency. Data must be gathered based on a specific time schedule for surveillance checks, verifying that manufacturing processes remain within the desired conditions. However, traditional data collection methods often lead to inefficiencies, delays, or missed entries, increasing the risk of quality issues.

This Work Smarter video demonstrates how sampling data collection with LineWorks SPISE++ at set time intervals helps manufacturers mitigate quality risks while ensuring production remains on track. It also emphasizes the importance of collecting measurement data within a defined period when equipment undergoes preventive maintenance to avoid any unexpected quality issues before mass production, ensuring a smooth process without disruptions.

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Data Collection Plan in the Semiconductor Backend Manufacturing

In semiconductor manufacturing, quality data collection is critical for ensuring process stability and product consistency. Data must be gathered based on a specific time schedule for surveillance checks, verifying that manufacturing processes remain within the desired conditions. However, traditional data collection methods often lead to inefficiencies, delays, or missed entries, increasing the risk of quality issues.

This Work Smarter video demonstrates how sampling data collection with LineWorks SPISE++ at set time intervals helps manufacturers mitigate quality risks while ensuring production remains on track. It also emphasizes the importance of collecting measurement data within a defined period when equipment undergoes preventive maintenance to avoid any unexpected quality issues before mass production, ensuring a smooth process without disruptions.

The Challenge: When MES Systems Lack a Built-in Data Collection Feature

A comprehensive data collection plan is essential for semiconductor manufacturing. However, many typical Manufacturing Execution Systems (MES) lack the flexibility to automate data collection schedules. This creates operational inefficiencies, forcing operators to manually track data collection points, which can lead to missed or delayed data entries.

To address these challenges, manufacturers need a reliable, automated system that enables customization of data collection frequency without manual intervention.

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The Solution: Time-Based Data Collection Plan with LineWorks SPISE++

The Data Collection Plan (DCP) in LineWorks SPISE++ is a time-based data entry feature that enables manufacturers to schedule and automate data collection. By integrating DCP into the production line, semiconductor manufacturers can:

  • Automate Data Collection Schedules: Set precise data collection points to match manufacturing needs.
  • Receive Early Notifications: Get an early notification for operators to collect data earlier before escalating alerts.
  • Ensure Seamless Production Monitoring: Data is collected only at the scheduled time when conditions are met, eliminating unnecessary entries.
  • Improve Compliance and Traceability: Ensure all quality and regulatory requirements are met without errors.

With LineWorks SPISE++ DCP, manufacturers can create a customized data collection plan, ensuring a smooth, efficient, and well-coordinated production process.

Why Implement a Time-Based Data Collection Plan?

A structured automated data collection plan provides multiple advantages:

  • Consistent Quality Monitoring: Keeps manufacturing within desired process conditions by ensuring data is collected at optimal intervals.
  • Proactive Issue Prevention: Early notifications help operators collect data before issues become critical, allowing potential problems to be identified at an early stage.
  • Increased Operational Efficiency: Reduces the manual burden on operators, allowing them to focus on core production tasks.
  • Improved Compliance and Accuracy: Eliminates human errors by ensuring data is accurately recorded, traceable, and maintained at a high quality.

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