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Optimal arrangement of the pulmonary interventional surgeries considering timely distribution of medical consumables

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Abstract

The order of the pulmonary interventional surgeries and the reasonable arrangement of the surgical rooms are the important factors for the successful pulmonary interventional surgeries. This article uses combinatorial optimization and sequencing theory in order to optimize the operation sequence of the pulmonary interventional surgeries and arrange the operating rooms reasonably. A surgical room is seen as machine, each pulmonary interventional surgery as work piece aiming at optimizing the objective of minimizing the surgical consumed resources. When the daily surgical arrangements were established, an algorithm for the supply of pulmonary interventional surgeries is established applying the sequencing theory. The medical consumables used in each pulmonary interventional surgery are packaged into a small box for integrated management to enable least number of SPD distributors with the highest efficiency satisfied supplies. An example showed that the proposed method has reasonable practical significance.

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References

  • Denton BT, Miller AJ, Balasubramanian HJ (2010) Optimal allocation of surgery blocks to operating rooms under uncertainty. Oper Res 58(1):802–816

    Article  MathSciNet  MATH  Google Scholar 

  • He L, Li Y, Yu X (2011) The role of the operating room in coordinating day surgery. Chin J Mod Nurs 17(31):3765–3767

    Google Scholar 

  • Hsu VN, De Matta R, Lee CY (2003) Scheduling patients in an ambulatory surgical center. Naval Res Logist 50(3):218–238

    Article  MathSciNet  MATH  Google Scholar 

  • Shu W, Luo L (2008) Research on surgical scheduling based on goal planning. Technol Mark 2:42–43

    Google Scholar 

  • Tang G, Zhang F, Luo S, Liu L (2003) Theory of modern scheduling. Shanghai Popular Science Press, Shanghai

    Google Scholar 

  • Yan X, Luo T, Luo L (2012) Construction of three—level dynamic surgery planning model. Chin Hosp Manag 32(7):15–18

    Google Scholar 

  • Yang Y, Shen B, Gao W (2015) A surgical scheduling method considering surgeons preferences. J Comb Optim 30(4):1–11

    Article  MathSciNet  MATH  Google Scholar 

  • Zhong L, Luo S, Yang G (2009) Optimization of surgical scheduling and computerized program management. J Shanghai Second Polytech Univ 12(26):286–290

    Google Scholar 

  • Zhong L, Luo S, Wu L, Xu L, Yang J, Tang G (2014) A two-stage approach for surgical scheduling. J Comb Optim 27:545C556

    Article  Google Scholar 

  • Zhong X, Wang H, Wang X (2015) Patients scheduling problems with deferred deteriorated functions. J Comb Optim 30(4):1027C1041 (Special Issue on Combinatorial Optimization in Health Care)

    Article  MathSciNet  Google Scholar 

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Correspondence to Qun Li.

Additional information

This research was supported by study of optimization on the management and strategy in the day surgeries under Grant Number (2017HP25) of Shanghai Municipal Commission of Health and Family Planning and also by study on the breakthrough innovation of the pharmaceutical logistics of SPD model under Grant Number (B50YC150005P4) of Youth Teachers Training and Research Project of State Revenue in 2017 of Shanghai Polytechnic University.

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Lin, H., Li, Q., Xu, X. et al. Optimal arrangement of the pulmonary interventional surgeries considering timely distribution of medical consumables. J Comb Optim 37, 271–285 (2019). https://doi.org/10.1007/s10878-017-0223-0

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  • DOI: https://doi.org/10.1007/s10878-017-0223-0

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