Human-Centered Knowledge Base for Enhancing Problem Solving in Supply Chain Quality Management

Abstract: Supply Chain Quality Management (SCQM) plays a pivotal role in ensuring resilience and efficiency across global networks. However, challenges such as data inconsistencies, cultural barriers, and technological limitations hinder effective problem-solving and knowledge transfer. These issues are compounded by the lack of standardized frameworks for managing and disseminating problem-solving knowledge effectively. This paper introduces a human-centered Problem-Solving Knowledge Base (PSKB) framework designed to systematically capture, validate, and reuse knowledge to address recurring quality issues. The framework integrates structured problem-solving methods, such as the 8D methodology and Failure Mode and Effects Analysis (FMEA), with human factors, emphasizing collaboration, trust, and transparency across supply chain stakeholders.The PSKB framework adopts a two-phase approach encompassing knowledge acquisition and application processes, ensuring accurate and actionable insights. Knowledge acquisition involves structured data extraction, validation, and codification using tools like FMEA, focusing on root cause identification and preventive actions. Knowledge application facilitates retrieval, matching, and application of past experiences to current challenges, ensuring organizational learning and continuous improvement. By leveraging human factors, such as aligning incentives, addressing cultural barriers, and mitigating information asymmetry, the framework fosters proactive collaboration and effective knowledge sharing.Validation through case studies highlights the framework's practicality and adaptability in real-world SCQM scenarios. For instance, it successfully addresses recurring defects and supplier-driven process changes, preventing costly failures and improving operational efficiency. The findings underscore its role in bridging knowledge gaps, enhancing decision-making, and creating a resilient supply chain ecosystem.This paper contributes to the field of applied human factors by emphasizing the integration of ergonomics, collaborative principles, and structured methodologies into knowledge management practices for SCQM. It provides actionable strategies for organizations to enhance supply chain resilience, prevent quality failures, and optimize knowledge reuse. Future research opportunities include exploring scalability, advanced technological integration for automated knowledge matching, and cross-industry applications of the PSKB framework to address complex supply chain challenges.

Keywords: Collaborative problem-solving, Experiential knowledge, Knowledge management, Human knowledge integration, Supply chain quality management

DOI: 10.54941/ahfe1006269

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