https://ojs.as-pub.com/index.php/SCR <p><strong>ISSN: 3029-1682(Online)</strong></p> <p>Supply Chain Research (SCR) is an open-access journal dedicated to the study of various aspects of supply chains, including raw materials, parts, equipment, products, services, and capital flows within the industrial chain. The journal also emphasizes the digitalization of supply chains, focusing on the digital transformation of information flow, capital flow, and logistics activities.</p> <p>SCR welcomes manuscripts related to both the research and practical applications of supply chain processes, providing a forum for sharing innovative insights and advancements in the field.&nbsp;The research topics of&nbsp;SCR&nbsp;include but are not limited to:</p> <ol> <li class="show">Digital Supply Chain</li> <li class="show">Supply Chain Optimization</li> <li class="show">Blockchain in Supply Chain</li> <li class="show">E-commerce Logistics</li> <li class="show">Inventory Management</li> <li class="show">Risk Mitigation Strategies</li> <li class="show">Sustainable Supply Chain</li> <li class="show">Data Analytics in Supply Chain</li> <li class="show">Circular Economy</li> <li class="show">Supplier Relationship Management</li> </ol> <p><strong>The article processing charges is $800 per article.</strong></p> en-US editorial_office@as-pub.com (Managing Editor) Mon, 23 Dec 2024 00:00:00 +0800 OJS 3.1.1.0 http://blogs.law.harvard.edu/tech/rss 60 https://ojs.as-pub.com/index.php/SCR/article/view/10220 <p>Industry 4.0 is revolutionizing manufacturing by integrating advanced technologies like IoT, AI, and robotics to enable higher levels of automation, real-time insights, and operational agility. This transformation offers substantial opportunities but also poses challenges in achieving manufacturing excellence through enhanced quality, efficiency, responsiveness, and sustainability.</p> <p>This paper reviews the key technological enablers, strategic priorities, and organizational changes driving smart, resilient, and sustainable manufacturing in the Industry 4.0 era. It proposes an integrated methodology that combines digital technologies—including IoT, AI, digital twins, and collaborative robotics—with a human-centered approach. The methodology organizes Industry 4.0 strategies into five domains: Quality &amp; Innovation, Asset &amp; Operations, Supply Chain &amp; Logistics, Safety &amp; Sustainability, and People &amp; Customer Engagement, demonstrating how these areas improve efficiency, asset management, supply chain transparency, safety, and workforce capabilities to enhance agility and competitiveness. Central to this is the use of cyber-physical systems for real-time data exchange, transforming factories into adaptive smart ecosystems.</p> <p>Challenges such as legacy system integration, cybersecurity risks, skill gaps, and resistance to change are addressed through phased adoption, robust security, continuous workforce development, pilot projects, and strong leadership. The framework integrates Lean, Six Sigma, and Agile methods with real-time analytics, an enhanced DMAIC cycle, and adaptive KPIs to drive continuous improvement and operational excellence. By aligning technology, processes, people, and sustainability, it supports building agile, resilient, and sustainable production systems that secure long-term competitive advantage.</p> <p>This conceptual framework presents a practical roadmap for Industry 4.0 transformation and will be further refined and validated through future case studies and pilot projects to facilitate wider adoption and ongoing improvement.</p> Attia Hussien Gomaa ##submission.copyrightStatement## https://ojs.as-pub.com/index.php/SCR/article/view/10220 Thu, 24 Jul 2025 00:00:00 +0800