Simulation-Based Optimization for Surgery Scheduling in Operation Theatre Management Using Response Surface Method.

Operation theatre is one of the most significant assets in a hospital as the greatest source of revenue as well as the largest cost unit. This paper focuses on surgery scheduling optimization, which is one of the most crucial tasks in operation theatre management. A combined scheduling policy compos...

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Publicado en:Journal of Medical Systems Vol. 39; no. 11; pp. 1 - 12
Autores principales: Liang, Feng, Guo, Yuanyuan, Fung, Richard
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Nov2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2015
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      pub: Springer Nature
      place: New York, New York
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        atl: Simulation-Based Optimization for Surgery Scheduling in Operation Theatre Management Using Response Surface Method.
      aug:
        au:
          Liang, Feng
          Guo, Yuanyuan
          Fung, Richard
        affil: Department of Industrial Engineering, Nankai University, Tianjin 300457 China
      sug:
        subj:
          Operating Rooms
          Appointments and Schedules
          Organizational Efficiency
          Computer Simulation
          Human
          Waiting Lists
          Data Analysis Software
          Analysis of Variance
      ab: Operation theatre is one of the most significant assets in a hospital as the greatest source of revenue as well as the largest cost unit. This paper focuses on surgery scheduling optimization, which is one of the most crucial tasks in operation theatre management. A combined scheduling policy composed of three simple scheduling rules is proposed to optimize the performance of scheduling operation theatre. Based on the real-life scenarios, a simulation-based model about surgery scheduling system is built. With two optimization objectives, the response surface method is adopted to search for the optimal weight of simple rules in a combined scheduling policy in the model. Moreover, the weights configuration can be revised to cope with dispatching dynamics according to real-time change at the operation theatre. Finally, performance comparison between the proposed combined scheduling policy and tabu search algorithm indicates that the combined scheduling policy is capable of sequencing surgery appointments more efficiently.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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