需求和服务时间不确定条件下危险品运输和调度的机会约束多目标方法

IF 1.9 Q3 MANAGEMENT
Kamran S. Moghaddam, Farshid Azadian
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引用次数: 2

摘要

危险材料(危险品)的运输是一个具有挑战性的问题,往往需要在相互冲突的目标之间进行权衡。在实践中,由于缺乏足够和可靠的历史数据,问题的复杂性加剧了。本文建立了危险品车辆路径调度问题的随机多目标优化模型。目标是在客户需求和服务时间不确定的情况下,通过运输网络找到最优的环节和路线,在危险品的安全和快速分配之间取得平衡。利用基于混合博弈理论的妥协规划,提出了一种基于总行程距离和运输过程总风险的帕累托最优解的求解算法。一个实际算例的计算结果证明了所提模型和求解算法在获得pareto最优解方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chance-constrained multi-objective approach for hazardous materials routing and scheduling under demand and service time uncertainty

The transportation of hazardous materials (hazmat) is a challenging problem that often requires a trade-off between conflicting objectives. In practice, the complexity of the problem is exacerbated due to the lack of sufficient and reliable historical data. In this research, a stochastic multi-objective optimization model for hazardous materials (hazmat) vehicle routing and scheduling problem is developed. The goal is to find optimal links and routes to obtain a trade-off between the safe and fast distribution of hazmat through a transport network under customers' demand and service time uncertainty. We utilized a hybrid game theory based compromise programming to develop a solution algorithm to determine the Pareto-optimal solutions, which are based on the total travel distance and total risk imposed on the transportation process. Computational results of a realistic numerical case study demonstrate the effectiveness of the proposed model and the solution algorithm in obtaining Pareto-optimal solutions.

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来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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