During the testing phase of a new cryptocurrency platform, significant transaction confirmation delays were observed, raising concerns about system responsiveness and user satisfaction. A detailed investigation revealed that the primary cause of the delays was an inefficient consensus mechanism. To address this issue, the Six Sigma DMAIC (Define–Measure–Analyze– Improve–Control) methodology was applied as a structured framework for process improvement. Through root cause analysis, performance metrics evaluation, and targeted implementation of corrective strategies, a more scalable and efficient consensus protocol was developed. The improved system significantly enhances transaction speed while preserving the foundational principles of decentralization and security inherent in blockchain technology. This study demonstrates the effectiveness of Six Sigma in diagnosing and resolving performance bottlenecks in decentralized systems.

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Applying Six Sigma DMAIC to Optimize Transaction Efficiency in a Blockchain-Based Cryptocurrency System

  • Abdulwahab Alkhan,
  • Haidar F. AL-Qrimli,
  • Fawaz Mustafa

摘要

During the testing phase of a new cryptocurrency platform, significant transaction confirmation delays were observed, raising concerns about system responsiveness and user satisfaction. A detailed investigation revealed that the primary cause of the delays was an inefficient consensus mechanism. To address this issue, the Six Sigma DMAIC (Define–Measure–Analyze– Improve–Control) methodology was applied as a structured framework for process improvement. Through root cause analysis, performance metrics evaluation, and targeted implementation of corrective strategies, a more scalable and efficient consensus protocol was developed. The improved system significantly enhances transaction speed while preserving the foundational principles of decentralization and security inherent in blockchain technology. This study demonstrates the effectiveness of Six Sigma in diagnosing and resolving performance bottlenecks in decentralized systems.