Abstract: How to minimize cost, GHG emission, and visual pollution under a set of external environmental uncertainties (such as the amount of waste generation, resource utilization rate, cost, etc.) is essential for the reasonable location and allocation of construction waste facilities (CWFs). Firstly, from economical, environmental and social perspectives, a traditional deterministic model is introduced to minimize cost, GHG emission and visual pollution when locating CWFs. Then, a robust counterpart is constructed based on the traditional deterministic model, and each of these uncertain parameters is assumed to vary in a specified closed bounded box. Finally, the existing CWFs in Beijing are chosen as the candidate points to determine the optimal location and allocation of CWFs in Beijing. The result shows that the total objective value grows up gradually with the increase of the uncertainty level of the parameters. Compared with the deterministic model, the solution obtained by the robust model is more stable and reliable, proving the effectiveness of the proposed model.

Key words: construction waste, waste facilities, robust optimization, location, allocation