Universal Decision Support System for Selection of MSW Route Optimization Method

A. Omar, U. Gazder, Khalil Aljuboori, N. Ratrout
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Abstract

Municipal Solid Waste (MSW) collection utilizes the highest percentage of the MSW management budget. Additionally, choosing a vehicle route optimization method is complex, difficult and does not always yield the most practical approach. There is limited published information about a decision support system (DSS) that assists in selecting the appropriate route optimization algorithm. This study aims to design and develop a universal DSS framework that suggests effective route optimization method(s). The system consists of 21 optimization data items and four criteria that assess the available constraints and recommends the most suitable optimization method(s). The DSS prototype was validated by testing it on the available literature and observing if the suggested method by the system complies with that utilized by the researchers. It was found that the system was able to predict the method which is used in 73% of studies. Moreover, the system suggested an enhanced version of the methods used in 18% of studies. It could be concluded that the proposed framework can help to select the best algorithms in almost all existing scenarios that have been used during development. Therefore, it is recommended to use the framework for selecting the appropriate route optimization algorithm for MSW collection.
城市垃圾路径优化方法选择通用决策支持系统
城市固体废物(MSW)收集使用了城市固体废物管理预算的最高百分比。此外,选择车辆路线优化方法是复杂、困难的,并且并不总是产生最实用的方法。关于决策支持系统(DSS)帮助选择合适的路线优化算法的公开信息有限。本研究旨在设计和发展一个通用的决策支持系统框架,并提出有效的路线优化方法。该系统由21个优化数据项和4个标准组成,用于评估可用的约束条件,并推荐最合适的优化方法。通过在现有文献上进行测试,并观察系统建议的方法是否与研究人员使用的方法一致,验证了DSS原型。结果发现,该系统能够预测73%的研究中使用的方法。此外,该系统提出了18%的研究中使用的方法的改进版本。可以得出结论,所提出的框架可以帮助在开发过程中使用的几乎所有现有场景中选择最佳算法。因此,建议使用该框架选择合适的垃圾收集路由优化算法。
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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