Abstract <p>This paper explores the application of the Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce light printing defects in the printer model production line at Company X, a leading electronics manufacturer. With the defect rate reaching 18.6%, the goal of the project was to reduce this rate to 0.5%, ensuring better product quality and increased efficiency. In the Define phase, key elements such as the Project Charter, Supplier-Input-Process-Output-Customer (SIPOC) diagram, and data collection plan were developed to outline the project scope and objectives. During the Measure phase, the current defect trends were analyzed, and an Attribute Agreement Analysis (AAA) confirmed the reliability of the measurement system. In the Analyze phase, the root causes were identified, including out-of-specification components and assembly process inconsistencies. The Improve phase focused on implementing corrective actions, such as collaborating with suppliers to improve component quality and introducing a press fixture to enhance the assembly process. Following implementation, the defect rate decreased from 18.6 to 0% over the monitoring period, consistently meeting the target not exceeding 0.5%, with an estimated annual saving of $2851. In the Control phase, the changes were documented in work instructions, Process Failure Mode and Effects Analysis (PFMEA), and control plans to ensure sustainability. The study concludes by highlighting the potential for digitalizing control plans and enhancing real-time monitoring for future improvements.</p> Graphical Abstract <p></p>

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Quality improvement through define-measure-analyze-improve-control (DMAIC) Methodology: a case study in an electronic manufacturing company

  • Nguyen Xuan Hung,
  • Le Duc Dao,
  • Le Duc Hanh

摘要

Abstract

This paper explores the application of the Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce light printing defects in the printer model production line at Company X, a leading electronics manufacturer. With the defect rate reaching 18.6%, the goal of the project was to reduce this rate to 0.5%, ensuring better product quality and increased efficiency. In the Define phase, key elements such as the Project Charter, Supplier-Input-Process-Output-Customer (SIPOC) diagram, and data collection plan were developed to outline the project scope and objectives. During the Measure phase, the current defect trends were analyzed, and an Attribute Agreement Analysis (AAA) confirmed the reliability of the measurement system. In the Analyze phase, the root causes were identified, including out-of-specification components and assembly process inconsistencies. The Improve phase focused on implementing corrective actions, such as collaborating with suppliers to improve component quality and introducing a press fixture to enhance the assembly process. Following implementation, the defect rate decreased from 18.6 to 0% over the monitoring period, consistently meeting the target not exceeding 0.5%, with an estimated annual saving of $2851. In the Control phase, the changes were documented in work instructions, Process Failure Mode and Effects Analysis (PFMEA), and control plans to ensure sustainability. The study concludes by highlighting the potential for digitalizing control plans and enhancing real-time monitoring for future improvements.

Graphical Abstract