The municipal solid waste management (MSWM) system design considered here is effective in reducing supply chain costs and environmental risks. One of the practical approaches that governments use to encourage MSWM practices is educating households with regard to reducing waste generation and increasing recycling and composting rates. This research aims to utilize a new multi-objective stochastic optimization model to design a MSWM system, taking public awareness and educating the public into consideration. Further, the efficiency induced by educating the public is also taken into account using its corresponding factors in the model. In this article, two types of truck for collecting the mixed and separated waste are appraised. Due to the unpredictability of some of the parameters of the MSWM models, allowances are made for uncertainty. The proposed model is applied to a real case in Tehran, Iran. To show the impact of educating households, the model is compared with a similar model that does not take educating the public into account. The results show a reduction of 40% in the total cost and an increment of 17% in the social impact as opposed to the model that does not take educating the public into consideration. This acknowledges that educating the public will improve the results obtained.

中文翻译：

---

考虑公众意识和教育的可持续城市固体废物系统设计：案例研究

此处考虑的城市固体废物管理 (MSWM) 系统设计可有效降低供应链成本和环境风险。政府用来鼓励 MSWM 实践的实用方法之一是教育家庭减少废物产生以及提高回收和堆肥率。本研究旨在利用新的多目标随机优化模型来设计 MSWM 系统，同时考虑公众意识和教育公众。此外，模型中还使用其相应的因素考虑了教育公众所带来的效率。在本文中，对两种用于收集混合和分离废物的卡车进行了评估。由于 MSWM 模型的某些参数的不可预测性，需要考虑不确定性。提出的模型应用于伊朗德黑兰的一个真实案例。为了显示教育家庭的影响，该模型与不考虑教育公众的类似模型进行了比较。结果显示，与不考虑公众教育的模式相比，总成本降低了40%，社会影响增加了17%。这承认教育公众将改善获得的结果。