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.

中文翻译：

---

用于城市固体废物管理系统长期规划的混合整数线性规划模型：反对有限的质量平衡。

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，其中包括大量决策层。由于所有不同的废物处理和处置过程都会对每个城市固体废物成分显示不同的响应，因此有必要分别评估所有过程的所有废物成分。这项义务在为城市固体废物管理系统的长期规划制定质量平衡时造成了障碍。由于这一重要的建模障碍，尚无法开发一种能够同时响应所有基本决策层（包括废物收集，工艺选择，废物分配，运输，位置选择和容量评估）的理想混合整数线性规划模型。根据文献的当前知识，到目前为止，所有旨在解决该障碍的混合整数线性规划研究都必须在其质量平衡中限制许多不同的可能性。在这项研究中，制定了一种新型的混合整数线性规划模型。本研究中开发的新模型结构ALOMWASTE的设计考虑到了同时在复杂的废物管理过程中可能发生的不同过程，能力和位置可能性。通过案例研究获得的结果表明，本研究中获得的新混合整数线性规划模型可用于在无限制质量平衡的情况下同时求解所有基本决策层。