The Impact of Just-in-Time Inventory Systems on Supply Chain Efficiency

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ID: 311329
2025
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Abstract
This study investigates the impact of Just-in-Time (JIT) inventory systems on supply chain efficiency using a mixed-method approach that integrates case study analysis, quantitative efficiency modeling, and comparative performance evaluation. Data drawn from leading organizations such as Toyota, Dell, and Zara, complemented by secondary datasets, were analyzed to examine key performance indicators including inventory turnover, lead time, cost reduction, and service level. The tabular results indicated that firms adopting JIT experienced higher inventory turnover rates and significant cost reductions, while simultaneously shortening lead times and enhancing service levels. Comparative analysis demonstrated that JIT systems outperformed traditional inventory management approaches in terms of operational responsiveness and resource utilization. The visualization of results through multiple line, bar, scatter, and hybrid plots confirmed these trends, highlighting industry-specific variations and long-term efficiency trajectories. While efficiency gains were consistent across cases, the study also revealed inherent vulnerabilities in JIT systems, particularly during disruptions where the absence of buffer stock increases fragility. Nevertheless, resilience analysis showed that firms integrating digital technologies and adaptive practices alongside JIT achieved more balanced outcomes. Overall, the findings underscore the dual nature of JIT: it delivers measurable efficiency benefits in stable environments, but its effectiveness in turbulent conditions depends on integration with digital supply chain visibility, risk management, and sustainability frameworks. This study contributes to theory and practice by offering empirical evidence of JIT’s efficiency-enhancing potential while providing guidance on how firms can balance efficiency with resilience in dynamic global supply chains.
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Khalil2025economicThe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Samina Khalil;
Journal Economic Trends and Business Review
Year 2025
DOI
46
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