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Solving a routing problem of collect infectious healthcare waste with stochastic demand: case of Sfax Governorate in Tunisia

机译:用随机需求解决收集传染性医疗保健废物的路由问题:突尼斯SFAX省的案例

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This paper deals with a real stochastic infectious healthcare waste (IHW) collection problem. The waste was collected from all hospitals in the governorate of Sfax (Tunisia) to an incinerator. The reduction of medical infectious waste represents a challenge for Tunisia's commitments in healthcare institutions. This problem is considered as a Capacitated Vehicle Routing Problem with Stochastic Demand (CVRPSD). Two combined approaches are proposed: (1) a combination of exact method with a Monte Carlo simulation, (2) a combination of the same simulation tools with Clarke and Wright (C&W) saving. These proposed approaches provide a set of solutions which help the decision-makers of the Sfax municipality to perform an adequate IHW transportation routing system. The approaches results give one common solution that appears with a high frequency using an exact method despite the stochastic character of demands. The (C&W) heuristic provides good results in a reasonable time.
机译:本文涉及真正的随机传染性医疗保障废物(IHW)收集问题。废物从SFAX(突尼斯)省的所有医院收集到焚化炉。医学传染性废物的减少是突尼斯在医疗机构承诺的挑战。该问题被视为具有随机需求(CVRPSD)的电容车辆路由问题。提出了两种组合方法:(1)具有蒙特卡罗模拟的精确方法的组合,(2)与Clarke和Wright(C&W)保存相同的仿真工具的组合。这些拟议的方法提供了一系列解决方案,帮助SFAX自治权的决策者执行了足够的IHW运输路线系统。这种方法,尽管需求随机性能,但是使用精确方法具有高频出现的一个常见解。 (C&W)启发式在合理的时间内提供了良好的结果。

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