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Background <p>Effective medical logistics are essential to ensure timely supply of consumables and uninterrupted clinical operations. Many hospitals, especially in low-resource settings, rely on manual systems—oral procurement, handwritten orders, and limited delivery staff—leading to stockouts, delays, and increased workload.</p> Objective <p>This study assessed the impact of implementing Lean Six Sigma (LSS) integrated with a Supply, Processing, and Distribution (SPD) model on hospital logistics performance in a tertiary hospital in eastern China.</p> Methods <p>A before–after design using the DMAIC framework compared pre-implementation (manual) and post-implementation (SPD-LSS) phases. Data were collected from hospital records and a survey of 152 staff. Key indicators included order fulfillment time, monthly stockouts, delivery delays, and manual workload. Paired t-tests and regression analysis were conducted.</p> Results <p>After SPD-LSS implementation, order fulfillment time decreased from 63.55 to 61.09 minutes, stockouts from 10.20 to 9.81 per month, delivery delays from 42.89% to 40.86%, and manual workload from 12.61 to 11.53 units. Paired t-tests showed no significant differences (<i>p</i> &gt; 0.05), but regression analysis indicated that reduced fulfillment time significantly predicted lower stockouts (β = 0.209, <i>p</i> = 0.010).</p> Conclusion <p>Although overall changes were modest, SPD-LSS integration with smart cabinets, barcoding, and automated alerts reduced manual bottlenecks and improved monitoring. These results suggest a scalable, evidence-based approach for optimizing hospital consumable logistics.</p>

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Empirical Analysis of Lean Six Sigma Implementation in Medical Logistics Management for Reducing Operational Delays

  • 期刊论文

  • 发表日期：

    2026年1月26日

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  • Yanhua Dong,
  • Fenqin Mao,
  • Caihua Ding

摘要

Background

Effective medical logistics are essential to ensure timely supply of consumables and uninterrupted clinical operations. Many hospitals, especially in low-resource settings, rely on manual systems—oral procurement, handwritten orders, and limited delivery staff—leading to stockouts, delays, and increased workload.

Objective

This study assessed the impact of implementing Lean Six Sigma (LSS) integrated with a Supply, Processing, and Distribution (SPD) model on hospital logistics performance in a tertiary hospital in eastern China.

Methods

A before–after design using the DMAIC framework compared pre-implementation (manual) and post-implementation (SPD-LSS) phases. Data were collected from hospital records and a survey of 152 staff. Key indicators included order fulfillment time, monthly stockouts, delivery delays, and manual workload. Paired t-tests and regression analysis were conducted.

Results

After SPD-LSS implementation, order fulfillment time decreased from 63.55 to 61.09 minutes, stockouts from 10.20 to 9.81 per month, delivery delays from 42.89% to 40.86%, and manual workload from 12.61 to 11.53 units. Paired t-tests showed no significant differences (p > 0.05), but regression analysis indicated that reduced fulfillment time significantly predicted lower stockouts (β = 0.209, p = 0.010).

Conclusion

Although overall changes were modest, SPD-LSS integration with smart cabinets, barcoding, and automated alerts reduced manual bottlenecks and improved monitoring. These results suggest a scalable, evidence-based approach for optimizing hospital consumable logistics.