The Optimization of Total Laboratory Automation by Simulation of a Pull-Strategy

Taho Yang, Teng Kuan Wang, Vincent C. Li, Chia Lo Su

研究成果: Article同行評審

21 引文 斯高帕斯(Scopus)


Laboratory results are essential for physicians to diagnose medical conditions. Because of the critical role of medical laboratories, an increasing number of hospitals use total laboratory automation (TLA) to improve laboratory performance. Although the benefits of TLA are well documented, systems occasionally become congested, particularly when hospitals face peak demand. This study optimizes TLA operations. Firstly, value stream mapping (VSM) is used to identify the non-value-added time. Subsequently, batch processing control and parallel scheduling rules are devised and a pull mechanism that comprises a constant work-in-process (CONWIP) is proposed. Simulation optimization is then used to optimize the design parameters and to ensure a small inventory and a shorter average cycle time (CT). For empirical illustration, this approach is applied to a real case. The proposed methodology significantly improves the efficiency of laboratory work and leads to a reduction in patient waiting times and increased service level.

期刊Journal of Medical Systems
出版狀態Published - 2015 1月

All Science Journal Classification (ASJC) codes

  • 醫藥(雜項)
  • 資訊系統
  • 健康資訊學
  • 健康資訊管理


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