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  • 标题:Integrating lean thinking and mathematical optimization: A case study in appointment scheduling of hematological treatments
  • 本地全文:下载
  • 作者:Alessandro Agnetis ; Caterina Bianciardi ; Nicola Iasparra
  • 期刊名称:Operations Research Perspectives
  • 印刷版ISSN:2214-7160
  • 电子版ISSN:2214-7160
  • 出版年度:2019
  • 卷号:6
  • 页码:1-10
  • DOI:10.1016/j.orp.2019.100110
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Highlights•Application of lean thinking and mathematical optimization to a hematological center.•Simulated experiments show a significant decrease in patient lead times.•The roles of lean methodology and optimization/simulation techniques are discussed.•Practical issues concerning the implementation of mathematical optimization in a hospital process are presented.AbstractThis paper addresses the relationship betweenlean thinkingandmathematical optimization. We discuss the roles of the two approaches, using as a reference case study the appointment scheduling process in a hematological center of a large Italian hospital. We report on how lean tools have been deployed to improve the process, we present a mathematical optimization model and discuss its implementation. Our aim is to show that the joint use of lean thinking and mathematical optimization can disclose large benefits when they are properly integrated in the improvement process. In our case study, simulated experiments point out that the average patient lead time could be decreased by more than 30%.
  • 关键词:KeywordsAppointment schedulingHematological treatmentsLean thinking
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