HighlightsA deterministic planning model (DPM) for medicine order and delivery is proposed.A stochastic planning model (SPM) for medicine order and delivery is proposed.Time-space network technique is adopted to construct the logistics planning.A heuristic procedure is developed to solve the SPM.An evaluation method is designed to compare performance of the two models.
AbstractThis 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.
Logistics planning for hospital pharmacy trusteeship under a hybrid of uncertainties
2017-02-16
15 pages
Article (Journal)
Electronic Resource
English
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