No Quality, No Productivity! Control comprehensive quality management in enterprises.

Michael Lee / Quanta Computer Inc., Product Manager

In the operation and production process of enterprises, product defects or customer complaints often occur. Besides preventing these anomalies, it is more important that when anomalies occur, the real cause must be immediately identified, corrective and preventive measures and subsequent tracking management must be undertaken, and the anomalies must be analyzed and managed, to continue improvements and avoid falling into the cycle of repeatedly handling the same issues, wasting manpower and costs. Therefore, building an information system to manage daily quality operations is necessary.

Problems before system implementation:

  1. Paper-based inspection data are scattered across locations, making it impossible to manage and statistically analyze, wasting manpower and decreasing efficiency.
  2. Suppliers provide green material inspection records and related certificates through emails, which require manual organization and review, time-consuming back and forth, and inconvenient communication.
  3. When material anomalies occur, it is often not possible to timely alert the relevant personnel for subsequent anomaly handling, causing quality issues to persist and continuously requiring manpower for resolution, increasing cost expenditures.
  4. When quality anomalies occur, there is no standardized quality problem-solving process to improve the occurrence of anomalies.
  5. Production line quality issues are often only addressed when problems occur, without the ability to take preventive actions in advance, leading to a higher occurrence of defective products on the production line.

System usage benefits:

  1. Inspection personnel conduct paperless material inspections and centralize data management, shortening manual operation time.
  2. Through system data integration and real-time information, enhance two-way communication with suppliers and data exchange.
  3. Automatically and quickly provide material anomaly alerts, speeding up anomaly handling operations, and reducing the costs of handling anomalies.
  4. Flexible process settings allow for task activation based on needs, and establish problem analysis and resolution processes that meet the requirements of various units.
  5. Collect production process data to generate yield reports and statistical production information, with the system automatically sending process quality alerts, performing preventive operations in advance to reduce the occurrence of defects on the production line.