Optimal routing of complex transportation system of biomedical waste with multiple depot and disposal options

Radhika Deshpande, A. Tembhurkar
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引用次数: 2

Abstract

Determination of safe and optimal routes for biomedical waste (BMW) collection and transportation using a fleet of vehicles is a complex issue. The issue gets significant, when the vehicles that outset from multiple depots, collects the BMW from hospitals scattered around a region and carry the waste to multiple disposal sites. The present paper deals with the development of a modified ACS-based approach to determine the optimal and safest route for BMW collection and transportation for such situation. The major objectives considered for route selection of vehicles, are the risk associated with the collection and transportation of BMW; total scheduling time of vehicles and number of vehicles. In this approach, clusters of the hospital nodes are constituted based on their distance from the nearest depot and late time window associated with the hospital node. Thereafter, the routes are scheduled and optimised using modified multi-objective ant colony system (MOACS). The computed results are validated abreast with benchmark solutions, demonstrating effectiveness of the proposed approach. Its applicability is elucidated using an illustrative example based on realistic data.
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具有多个仓库和处置方案的复杂生物医疗废物运输系统的优化路径
确定使用车队收集和运输生物医学废物(宝马)的安全和最佳路线是一个复杂的问题。当车辆从多个仓库开始,从分散在一个地区的医院收集宝马,并将废物运送到多个处理场时,问题变得更加严重。本文讨论了一种基于ACS的改进方法的开发,以确定在这种情况下宝马收集和运输的最佳和最安全路线。车辆路线选择考虑的主要目标是与宝马的收集和运输相关的风险;车辆的总调度时间和车辆数量。在这种方法中,医院节点的集群是基于它们与最近仓库的距离和与医院节点相关联的晚时间窗口来构成的。然后,使用改进的多目标蚁群系统(MOACS)对路线进行调度和优化。计算结果与基准解决方案同步验证,证明了所提出方法的有效性。通过一个基于实际数据的示例说明了它的适用性。
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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
66
期刊介绍: IJETM is a refereed and authoritative source of information in the field of environmental technology and management. Together with its sister publications IJEP and IJGEnvI, it provides a comprehensive coverage of environmental issues. It deals with the shorter-term, covering both engineering/technical and management solutions.
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