A Waste Collection Problem with Service Type Option

Sina Gläser
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引用次数: 4

Abstract

Efficient solid waste management is one of the most relevant issues for urban communities. With regard to the service type of household waste collection, there are two approaches in practice: When collecting household waste via a door-to-door system, the collection vehicles drive down all the streets to empty the garbage cans on the curb. Using a bring system, waste is accumulated at central collection sites with a larger capacity. While residents do have to travel an additional distance to dispose of their waste at these central collection sites, a bring system can reduce the distance to be covered by collection vehicles because they no longer have to drive down all the streets. To combine the advantages of both systems, in this article the service type decision is introduced. The corresponding waste collection problem with service type option (WCPSTO) is modeled as a new variant of a periodic location routing problem and an adaptive large neighborhood search-based solution approach is proposed. This solution approach not only solves the newly presented problem, but also outperforms a solution algorithm for a related waste collection problem seen in the literature, which can be seen as a special case of the WCPSTO.
带有服务类型选项的废物收集问题
有效的固体废物管理是城市社区最相关的问题之一。关于生活垃圾收集的服务类型,在实践中有两种方式:通过门到门的方式收集生活垃圾,收集车辆沿着所有街道行驶,清空路边的垃圾桶。使用带式系统,废物被集中在容量较大的中央收集点。虽然居民必须多走一段距离才能在这些中央收集点处理垃圾,但自带系统可以减少收集车辆行驶的距离,因为他们不再需要在所有街道上行驶。为了结合这两个系统的优点,本文引入了服务类型决策。将具有服务类型选项的垃圾收集问题建模为周期位置路由问题的新变体,提出了一种基于自适应大邻域搜索的求解方法。该求解方法不仅解决了新提出的问题,而且优于文献中相关垃圾收集问题的求解算法,这可以看作是WCPSTO的一个特例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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