The transportation of biomedical samples is a key component of healthcare supply chains. The samples are collected, consolidated into cooler boxes, and then transported to be analyzed in a specialized laboratory. Since many hospitals and samples’ collection points are assigned to the same laboratory, it is important to manage the flow of samples arriving to the laboratory to avoid congestion. In other words, it is preferable to try to desynchronize the samples’ arrivals by managing the vehicles’ departure times and the routes ordering. We propose a mathematical model and a multi-start heuristic to minimize the route duration times and the maximum number of samples’ boxes arriving at the laboratory within a given time period. Based on real data, we demonstrated that both the model and the heuristic are very efficient in solving real size instances.

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