نوع مقاله : یادداشت فنی
1 گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه پیام نور
2 دانشکده مهندسی صنایع، دانشگاه صنعتی خواجه نصیرالدین طوسی
عنوان مقاله [English]
Urbanization, growing population, and economic development cause a growing trend in waste generation of the world including our country. On the other hand, other concerns like landfill limitation and pollutions of waste disposal, bring this matter to fore. In this paper, we are trying to represent a different approach in terms of systematic and managerial aspects of Solid Waste
Management (SWM) using dynamic modeling for Household Waste Management (HWM), which contains an important part of current waste generation in Tehran. In terms of management, our new approach is concerned with addressing the issue of HWM in particular, such that the use of social and qualitative variables (such as culture, education, family size, and impact of advertising budget and source waste separation on recycling level) and also economic variables such as inflation, per capita income, buying power and per capita consumption, increase our innovation in terms of systematic approach. Casual loop and flow diagram were drawn by Vensim software. In the last sections, we performed the model validation and verification using the establishment of extreme conditions, reality check, logical boundaries for variables and matching with historical data. Considering socio-economic factors, simulation time period, and current delays dealing with our issue, we are trying to analyze the best policies for HWM in Tehran in order to achieve the best possible results in recycling cost, recycling ratio, and disposal ratio regarding budget limitation. One of the main problems in (WHM) is the pollution caused by the landfill and the shortage of land for burial. Two solutions are proposed to deal with this problem: the first is increasing of budget to make culture and also advertising and planning to promote the consumption culture; the second is focusing on the planning and implementation of source waste separation. The model indicates the second solution is better than the first.