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Logistics planning for hospital pharmacy trusteeship under a hybrid of uncertainties

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  • Liu, Ming
  • Zhang, Zhe
  • Zhang, Ding

Abstract

This paper presents two medicine logistics planning models by using a time-space network approach, one with deterministic variables and the other with stochastic variables. Flow dependent variable costs, random demand and random service time are featured in our models in addressing economies of scale and uncertainties in a real-world medical logistics problem. Effective computational schemes are designed, and an evaluation method is proposed to derive and assess a solution to the models. Numerical tests are conducted and show promising results for applications to a real-world problem.

Suggested Citation

  • Liu, Ming & Zhang, Zhe & Zhang, Ding, 2017. "Logistics planning for hospital pharmacy trusteeship under a hybrid of uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 201-215.
    • Handle: RePEc:eee:transe:v:101:y:2017:i:c:p:201-215
    DOI: 10.1016/j.tre.2017.02.006
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    References listed on IDEAS

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    Cited by:

    1. Fabián Silva-Aravena & Irlanda Ceballos-Fuentealba & Eduardo Álvarez-Miranda, 2020. "Inventory Management at a Chilean Hospital Pharmacy: Case Study of a Dynamic Decision-Aid Tool," Mathematics, MDPI, vol. 8(11), pages 1-20, November.

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