Gebze Technical University, Department of Environmental Engineering, 41400 Kocaeli, Turkey.
Duzce University, Department of Industrial Engineering, 81620 Duzce, Turkey.
Waste Manag. 2020 Mar 15;105:211-222. doi: 10.1016/j.wasman.2020.02.003. Epub 2020 Feb 19.
Long-term planning of municipal solid waste management systems is a complex decision making problem which includes a large number of decision layers. Since all different waste treatment and disposal processes will show different responses to each municipal solid waste component, it is necessary to separately evaluate all waste components for all processes. This obligation creates an obstacle in the programming of mass balances for long-term planning of municipal solid waste management systems. The development of an ideal mixed integer linear programming model that can simultaneously respond to all essential decision layers including waste collection, process selection, waste allocation, transportation, location selection, and capacity assessment has not been made possible yet due to this important modeling obstacle. According to the current knowledge of the literature, all mixed integer linear programming studies aiming to address this obstacle so far have had to restrict many different possibilities in their mass balances. In this study, a novel mixed integer linear programming model was formulated. ALOMWASTE, the new model structure developed in this study, was built to take into consideration different process, capacity, and location possibilities that may occur in complex waste management processes at the same time. The results obtained from a case study showed the feasibility of new mixed integer linear programming model obtained in this study for the simultaneous solution of all essential decision layers in an unrestricted mass balance. The model is also able to provide significant convenience for the multi-objective optimization of financial-environmental-social costs and the solution of some uncertainty problems of decision-making tools such as life cycle assessment.
城市固体废物管理系统的长期规划是一个复杂的决策问题，其中包括大量的决策层次。由于所有不同的废物处理和处置过程对每种城市固体废物成分都会有不同的反应，因此有必要分别评估所有过程的所有废物成分。由于这种重要的建模障碍，为城市固体废物管理系统的长期规划编制质量平衡方案的规划程序就会受到阻碍。目前，还没有开发出一种理想的混合整数线性规划模型，该模型能够同时响应包括废物收集、工艺选择、废物分配、运输、选址和能力评估在内的所有基本决策层次，因为这一重要的建模障碍。根据文献中的现有知识，迄今为止，所有旨在解决这一障碍的混合整数线性规划研究都不得不在其质量平衡中限制许多不同的可能性。在本研究中，提出了一种新的混合整数线性规划模型。ALOMWASTE 是本研究中开发的新模型结构，用于同时考虑复杂废物管理过程中可能出现的不同工艺、能力和位置的可能性。案例研究的结果表明，本研究中获得的新混合整数线性规划模型在不受限制的质量平衡中同时解决所有基本决策层次的可行性。该模型还为财务-环境-社会成本的多目标优化以及生命周期评估等决策工具的一些不确定性问题的解决提供了很大的便利。
