Research Article
Achieving Project Management Excellence through Lean Six Sigma
Attia Hussien Gomaa
Middle East Research Journal of Engineering and Technology; 18-32.
https://doi.org/10.36348/merjet.2025.v05i02.001
Abstract: In today’s rapidly evolving industrial and technological landscape, achieving project management excellence is essential for organizations striving for efficiency, agility, and sustained competitiveness. As projects grow in complexity, the demand for higher quality, proactive risk management, and optimal resource utilization increases, necessitating a structured, data-driven approach for strategic alignment and execution. This study explores the role of Lean Six Sigma (LSS) in project management, integrating Lean’s waste reduction with Six Sigma’s precision to enhance performance, resource optimization, and governance. The proposed LSS framework aligns with project management best practices, enabling organizations to streamline execution, reduce variability, and drive continuous improvement across diverse project environments. It incorporates Core LSS Principles to foster efficiency and a culture of continuous improvement, the DMAIC Framework for structured problem-solving and sustainable enhancements, and Key Performance Indicators (KPIs) to measure efficiency, quality, and project success. By bridging traditional project management methodologies with advanced analytical capabilities, this framework offers a structured yet adaptable approach that enhances decision-making, operational efficiency, and value creation. Its seamless integration with Agile, hybrid project management models, and digital transformation initiatives ensures responsiveness to evolving business challenges and technological advancements. Ultimately, this LSS-driven approach redefines project management excellence, equipping organizations with the methodologies and insights needed to achieve long-term success, maintain a competitive edge, and drive sustainable growth in an increasingly complex and dynamic environment.
Research Article
AI Property Valuation Tool for the UAE Real Estate Market
Layla A. A. Sultan, Mona Kaddura
Middle East Research Journal of Engineering and Technology; 33-39.
https://doi.org/10.36348/merjet.2025.v05i02.002
This paper evaluates an AI Property Valuation Tool developed for the UAE real estate market, addressing the challenges of market volatility and inefficient traditional valuation methods. Utilizing a mixed-methods approach, the research examines how the integration of multiple large language models (LLMs), vector databases, and real-time data sources revolutionizes property assessment in the region. The tool demonstrates an 80% reduction in valuation time while maintaining accuracy through its innovative three-tiered search approach combining historical and current market data. Performance testing revealed sub-6-second latency for complex queries following optimization measures that improved accuracy by 21%. Despite challenges with data quality and algorithmic optimization, the system represents a significant advancement in property valuation technology. The research concludes with recommendations for enhancing the tool's capabilities through enriched data integration, market-specific prediction models, blockchain verification, and explainable AI frameworks to meet evolving market demands.
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