Logistics planning for hospital pharmacy trusteeship under a hybrid of uncertainties

Ming Liu, Zhe Zhang and Ding Zhang

Transportation Research Part E: Logistics and Transportation Review, 2017, vol. 101, issue C, 201-215

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.

Keywords: Logistics planning; Hybrid uncertainty; Time-space network; Medicine; Optimization (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:101:y:2017:i:c:p:201-215

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DOI: 10.1016/j.tre.2017.02.006

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