Aims
The Journal of Quality Engineering and Management (JQEM) is a peer-reviewed scientific journal dedicated to advancing the theoretical foundations, methodological innovations, and practical applications in quality engineering, decision science, strategic analytics, uncertainty modeling, and performance evaluation. By serving as a bridge between academic research and industrial applications, JQEM fosters a deeper understanding of quality systems, process optimization, strategic decision-making, and emerging intelligent technologies that drive excellence in modern organizations.
JQEM aims to:
- Publish high-impact research contributing to advancements in quality engineering, process control, uncertainty management, and organizational excellence.
- Bridge the gap between theory and practice, fostering collaboration among academics, industry professionals, and policymakers.
- Promote interdisciplinary research, integrating engineering, management, artificial intelligence, operations research, soft computing, and data science to enhance quality outcomes.
- Provide a platform for addressing industrial challenges in process optimization, defect prevention, waste reduction, supply chain quality, and sustainable quality systems.
- Advance decision-making models through multi-criteria evaluation techniques, strategic analytics, and risk-based quality management.
- Encourage the adoption of data-driven decision-making approaches and emerging technologies (AI, IoT, big data analytics, blockchain, Industry 4.0, and digital twins) in quality management.
- Support research on computational intelligence, uncertainty modeling, and robust optimization, enhancing decision-support methodologies in quality-driven industries.
- Promote evidence-based policymaking in quality assurance, risk assessment, performance measurement, and compliance across diverse industries.
- Foster sustainable and resilient quality management practices, aligning with environmental and ethical principles for long-term excellence.
Scope
JQEM welcomes high-quality original research, case studies, and review articles that contribute to the advancement of quality engineering, decision-making, and strategic analytics across multiple industries, including manufacturing, healthcare, energy, automotive, aerospace, supply chain, digital transformation, and service sectors. The journal covers a broad spectrum of topics, including but not limited to:
1. Quality Engineering, Process Optimization, and Performance Evaluation
- Statistical Process Control (SPC) and real-time quality monitoring
- Design of Experiments (DOE) and predictive modeling in quality improvement
- Six Sigma, Lean Manufacturing, and Total Quality Management (TQM)
- Reliability Engineering and Failure Mode & Effects Analysis (FMEA)
- Multi-Criteria Decision-Making (MCDM) for quality evaluation
- Data Envelopment Analysis (DEA) for performance and efficiency assessment
- Benchmarking, strategic quality planning, and process optimization
- Simulation and mathematical modeling for quality improvement
2. Quality Management Systems, Standards, and Risk-Based Approaches
- Implementation and effectiveness of international quality standards (ISO 9001, ISO 14001, IATF 16949, EFQM, etc.)
- Quality auditing, compliance frameworks, and certification processes
- Performance measurement and benchmarking in quality management
- Risk-based thinking and resilience modeling in quality-driven industries
3. Data-Driven and Intelligent Quality Management
- Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning in quality control
- Big Data Analytics and predictive quality monitoring
- Digital twins and smart quality assurance systems
- Blockchain applications in supply chain transparency and quality tracking
- Internet of Things (IoT) and Cyber-Physical Systems (CPS) for real-time quality control
4. Sustainability, Circular Economy, and Green Quality Strategies
- Sustainable quality management frameworks and eco-efficiency in production
- Lifecycle assessment (LCA) and environmental impact in quality management
- Circular economy principles in quality-driven organizations
- Sustainability metrics and green supply chain management
5. Decision-Making under Uncertainty and Computational Intelligence
- Fuzzy set and its extensions in quality and reliability
- Uncertainty modeling, probabilistic decision-making, and stochastic optimization
- Hybrid intelligent decision-support systems for quality evaluation
- Game theory and operational research applications in quality engineering
- AI-driven strategic analytics for risk mitigation and quality management
6. Digital Transformation and Industry 4.0 in Quality Management
- Big Data Analytics for defect prediction and anomaly detection
- Digital Twins for smart quality assurance and predictive maintenance
- Blockchain for supply chain integrity and traceability in quality control
- Cyber-Physical Systems (CPS) and IoT-based real-time monitoring
- Cloud-based and AI-powered automation in quality engineering
7. Strategic Management, Sustainability, and Performance Analytics
- Strategic quality planning and business intelligence applications
- Sustainability integration in quality-driven organizations
- Risk-based decision analytics and resilience modeling
- Impact of digital transformation on strategic quality frameworks
- Performance measurement, benchmarking, and efficiency analysis
8. Industry-Specific Applications and Emerging Quality Trends
- Healthcare quality management and patient safety enhancement
- Quality assurance in aerospace, automotive, and advanced manufacturing
- Human factors engineering and ergonomic quality assessment
- Quality-driven logistics and supply chain resilience
- Financial risk management and business intelligence in quality engineering
JQEM fosters a multidisciplinary and international perspective, encouraging collaboration between academia, industry, and policymakers to ensure that quality remains at the forefront of organizational strategy and technological advancement. The journal is committed to publishing cutting-edge research that drives innovation, strategic excellence, and quality improvement across global industries.
