Department of Industrial Engineering, Mazandaran University of Science & Technology, Babol, Iran.
Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran.
Waste Manag. 2020 Feb 1;102:340-350. doi: 10.1016/j.wasman.2019.10.038. Epub 2019 Nov 9.
The excessive expansion of cities and the consequent increase in urban population, especially in recent years, have led to a significant increase in consumptions and generations of different types of municipal solid waste (MSW). In this research, a robust green location-allocation-inventory problem (LAIP) is investigated to design an efficient MSW management system. Since the exact amount of MSW composition in different regions is not known and is uncertain, robust optimization technique is applied to formulate the problem as a mixed-integer linear programming (MILP) model. The objective is to minimize the total cost including fixed locational costs of collection and processing/disposal facilities, operational costs of facilities, transportation costs, penalty costs of non-collected waste and costs arising from pollution emissions. The validation of the proposed model is performed by different problems based on real-life data in deterministic and uncertain conditions using CPLEX solver of GAMS software. Then, the effects of greenness are evaluated by performing a sensitivity analysis on the parameter of pollution cost. Finally, the concept of robustness worthiness threshold (RWT) under budget constraint is introduced and discussed.
城市的过度扩张以及由此导致的城市人口增加，特别是近年来，导致消费和各类城市固体废物（MSW）的产生显著增加。在这项研究中，我们研究了一个强大的绿色选址-分配-库存问题（LAIP），以设计一个高效的 MSW 管理系统。由于不同地区的 MSW 成分的准确数量未知且不确定，因此我们应用鲁棒优化技术将问题表述为混合整数线性规划（MILP）模型。目标是最小化总成本，包括收集和处理/处置设施的固定位置成本、设施的运营成本、运输成本、未收集废物的罚款成本以及污染排放造成的成本。通过使用 GAMS 软件的 CPLEX 求解器，在确定性和不确定性条件下，基于实际数据的不同问题对所提出的模型进行验证。然后，通过对污染成本参数进行敏感性分析，评估绿色的效果。最后，引入并讨论了预算约束下的稳健性价值阈值（RWT）的概念。
