The hazardous hospital waste (HHW) is one of the main problems in urban waste management, which requires the design and implementation of a special collection and disposal system. Hospital wastes were known as important hazardous waste to be efficiently disposed within a short operational time in order to prevent the spread of infections and diseases. In this research, a multi-objective robust optimization model was developed to design a collection and disposal network of HHW under uncertain condition. The objectives are to concurrently minimize the total cost including transportation and operations costs, and the total risk of transportation and operations. To solve the proposed bi-objective model, the augmented ε-constraint method was employed. Moreover, the model validation is achieved using and solving several test problems in different sizes, and the analysis of the robust model was performed compared to the deterministic model. Finally, a real case study was conducted to demonstrate the applicability of the research’s methodology, which was done by determining Pareto front and performing a sensitivity analysis to evolve the managerial insights.

危险医院废物（HHW）是城市废物管理中的主要问题之一，需要设计和实施特殊的收集和处置系统。医院废物被认为是重要的危险废物，可以在短时间内有效处置，以防止感染和疾病传播。在这项研究中，建立了一个多目标鲁棒优化模型来设计不确定条件下的HWW的收集和处置网络。目标是同时最小化包括运输和运营成本在内的总成本以及运输和运营的总风险。为了解决所提出的双目标模型，增加了ε-约束方法。此外，使用并解决了几种不同大小的测试问题来实现模型验证，并且与确定性模型相比，对鲁棒模型进行了分析。最后，进行了一个实际案例研究，以证明该研究方法的适用性，方法是确定帕累托阵线并进行敏感性分析以发展管理见解。