An interval joint-probabilistic programming method for solid waste management: a case study for the city of Tianjin, China

作者：Xu Yi; Wu Shunze^*; Zang Hongkuan; Hou Guiguang

来源：Frontiers of Environmental Science & Engineering, 2014, 8(2): 239-255.

DOI：10.1007/s11783-013-0536-x

• interval analysis
• mixed integer
• joint probabilistic constraint
• planning
• uncertainty
• waste management

Currently, environmental protection and resources conservation continue to be challenges faced by solid-waste managers in China. These challenges are being further compounded by rapid socioeconomic development and population growth associated with increased waste generation rates and decreased waste disposal capacities. In response to these challenges, an interval joint-probabilistic mixed-integer programming (IJMP) method is developed for supporting long-term planning of waste management activities in the city of Tianjin, which is one of the largest municipalities in the northern part of China. In the IJMP, joint probabilistic constraints are introduced into an interval-parameter mixed-integer programming framework, such that uncertainties presented in terms of interval values and random variables can be reflected. Moreover, a number of violation levels for the waste-management-capacity constraints are examined, which can facilitate in-depth analyses of tradeoffs among economic objective and system-failure risk. The results indicate that reasonable solutions have been generated. They are valuable for supporting the adjustment of the city's existing waste-management practices and the long-term planning of the city's waste-management facilities.

• 出版日期2014-4
• 单位环境保护部环境规划院