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Combining FMEA with DEMATEL models to solve production process problems.

Sang-Bing Tsai1,2,3,4, Jie Zhou5, Yang Gao6

  • 1Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong, China.

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|August 25, 2017
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Summary
This summary is machine-generated.

This study combines Failure Mode and Effects Analysis (FMEA) with Decision-Making Trial and Evaluation Laboratory (DEMATEL) to improve problem-solving in manufacturing. The integrated approach enhances identification and prioritization of critical issues for better product quality and cost savings.

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Area of Science:

  • Industrial Engineering
  • Manufacturing Process Optimization
  • Quality Management Systems

Background:

  • Failure Mode and Effects Analysis (FMEA) is a valuable tool for defect prevention but struggles with complex systems involving multiple interacting failure modes.
  • Traditional FMEA can misprioritize or overlook critical issues when factors are simultaneous or interdependent.
  • Existing methods lack the ability to analyze the intricate cause-and-effect relationships within complex manufacturing systems.

Purpose of the Study:

  • To address the limitations of FMEA in analyzing systems with multiple, interacting failure modes.
  • To develop an enhanced analytical framework by integrating FMEA with DEMATEL for improved defect analysis.
  • To optimize the identification and prioritization of solutions for critical problems in manufacturing processes.

Main Methods:

  • Failure Mode and Effects Analysis (FMEA) was initially applied to identify areas for improvement within the photovoltaic cell manufacturing process.
  • Decision-Making Trial and Evaluation Laboratory (DEMATEL) was subsequently employed to analyze the interdependencies and causal relationships among the identified failure modes.
  • A hybrid FMEA-DEMATEL approach was utilized to refine the prioritization of identified issues and their corresponding solutions.

Main Results:

  • The integrated FMEA-DEMATEL method effectively identified critical failure modes and their root causes in the photovoltaic cell manufacturing industry.
  • The study successfully determined the causal relationships and interactive effects among various failure factors, overcoming FMEA's limitations.
  • Prioritization of solutions was significantly enhanced, ensuring that the most impactful problems were addressed effectively.

Conclusions:

  • The combined FMEA-DEMATEL methodology offers a robust solution for analyzing complex manufacturing systems with multiple failure modes.
  • This integrated approach enhances the accuracy of problem identification and the efficiency of solution prioritization, leading to improved product quality and reliability.
  • The study provides a practical framework for optimizing processes in industries like photovoltaic cell manufacturing, ensuring competitiveness and cost-effectiveness.