title: Dynamic analysis for solid waste management systems: an inexact multistage integer programming approach.
abstract: In this study, a dynamic analysis approach based on an inexact multistage integer programming (IMIP) model is developed for supporting municipal solid waste (MSW) management under uncertainty. Techniques of interval-parameter programming and multistage stochastic programming are incorporated within an integer-programming framework. The developed IMIP can deal with uncertainties expressed as probability distributions and interval numbers, and can reflect the dynamics in terms of decisions for waste-flow allocation and facility-capacity expansion over a multistage context. Moreover, the IMIP can be used for analyzing various policy scenarios that are associated with different levels of economic consequences. The developed method is applied to a case study of long-term waste-management planning. The results indicate that reasonable solutions have been generated for binary and continuous variables. They can help generate desired decisions of system-capacity expansion and waste-flow allocation with a minimized system cost and maximized system reliability.
authors.affiliation: College of Urban and Environmental Sciences, Peking University, Beijing, People's Republic of China. yongping.li@urban.pku.edu.cn
authors.forename: Yongping
authors.initials: Y
authors.lastname: Li
authors.forename: Guohe
authors.initials: G
authors.lastname: Huang