School of Industrial Engineering, Iran University of Science and Technology, Iran.
Waste Manag Res. 2020 Jun;38(6):626-638. doi: 10.1177/0734242X20910206. Epub 2020 Mar 13.
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.
这里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。政府鼓励 MSWM 实践的一种实用方法是教育家庭减少废物产生并提高回收和堆肥率。本研究旨在利用新的多目标随机优化模型设计一个考虑公众意识和教育公众的 MSWM 系统。此外,还通过在模型中使用相应的因素来考虑教育公众所带来的效率。在本文中,评估了两种用于收集混合和分离废物的卡车。由于 MSWM 模型的一些参数具有不可预测性,因此允许存在不确定性。该模型应用于伊朗德黑兰的一个实际案例。为了展示教育家庭的影响,将该模型与不考虑公众教育的类似模型进行了比较。结果表明,与不考虑公众教育的模型相比,总成本降低了 40%,社会影响增加了 17%。这表明教育公众将改善所获得的结果。