Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5110541 | Transportation Research Part E: Logistics and Transportation Review | 2017 | 15 Pages |
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.
Related Topics
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Authors
Ming Liu, Zhe Zhang, Ding Zhang,