With the increase in the number of patients and activity of hospitals, the issue of hospital waste management (HWM) is becoming more and more challenging and worrying. In addition to financial losses, there will be irreparable damage to the ecosystem and environment which will create many problems for people (because the job of some people in the area is livestock and agriculture and they have a lot to do with their surroundings). It also doubles the need to pay attention to the issue of sustainable development (simultaneous attention to social, economic and environmental dimensions) in waste management. Moreover, the climatic and geographical conditions and lack of proper waste management in this area lead to major problems. Therefore, in this research, by developing a novel multi-objective mixed integer linear programming model, HWM is addressed in the hospitals of Sari, Iran. The aim is to design an HWM network considering sustainability, resiliency and uncertainty. In order to deal with uncertainty, a robust fuzzy programming approach is employed, and then an improved goal programming technique and Lp-metric method is proposed to solve the model. It was revealed that goal programming outperforms the Lp-metric method in terms of all objectives. Furthermore, the obtained results demonstrate the applicability and efficiency of the proposed methodology to design an efficient sustainable HWM network.

随着患者数量和医院活动的增加，医院废物管理（HWM）问题变得越来越具有挑战性和令人担忧。除了经济损失外，还会对生态系统和环境造成不可挽回的破坏，给人们带来很多问题（因为该地区一些人的工作是畜牧业和农业，他们与周围环境有很大关系）。它还加倍关注废物管理中的可持续发展问题（同时关注社会、经济和环境方面）。此外，该地区的气候和地理条件以及缺乏适当的废物管理导致了重大问题。因此，在本研究中，通过开发一种新颖的多目标混合整数线性规划模型，HWM 在伊朗 Sari 的医院得到解决。目的是设计一个考虑可持续性、弹性和不确定性的 HWM 网络。为了处理不确定性，采用鲁棒模糊规划方法，然后提出改进的目标规划技术和Lp-metric方法来求解模型。结果表明，目标规划在所有目标方面都优于 Lp 度量方法。此外，所获得的结果证明了所提出的方法在设计高效的可持续 HWM 网络方面的适用性和效率。然后提出了一种改进的目标规划技术和Lp-metric方法来求解该模型。结果表明，目标规划在所有目标方面都优于 Lp 度量方法。此外，所获得的结果证明了所提出的方法在设计高效的可持续 HWM 网络方面的适用性和效率。然后提出了一种改进的目标规划技术和Lp-metric方法来求解该模型。结果表明，目标规划在所有目标方面都优于 Lp 度量方法。此外，所获得的结果证明了所提出的方法在设计高效的可持续 HWM 网络方面的适用性和效率。