title: Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part I: System identification and methodology development.
abstract: Due to the existence of complexities of heterogeneities, hierarchy, discreteness, and interactions in municipal solid waste management (MSWM) systems such as Beijing, China, a series of socio-economic and eco-environmental problems may emerge or worsen and result in irredeemable damages in the following decades. Meanwhile, existing studies, especially ones focusing on MSWM in Beijing, could hardly reflect these complexities in system simulations and provide reliable decision support for management practices. Thus, a framework of distributed mixed-integer fuzzy hierarchical programming (DMIFHP) is developed in this study for MSWM under these complexities. Beijing is selected as a representative case. The Beijing MSWM system is comprehensively analyzed in many aspects such as socio-economic conditions, natural conditions, spatial heterogeneities, treatment facilities, and system complexities, building a solid foundation for system simulation and optimization. Correspondingly, the MSWM system in Beijing is discretized as 235 grids to reflect spatial heterogeneity. A DMIFHP model which is a nonlinear programming problem is constructed to parameterize the Beijing MSWM system. To enable scientific solving of it, a solution algorithm is proposed based on coupling of fuzzy programming and mixed-integer linear programming. Innovations and advantages of the DMIFHP framework are discussed. The optimal MSWM schemes and mechanism revelations will be discussed in another companion paper due to length limitation.
authors.affiliation: Institute for Energy, Environment and Sustainability Research, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada.
authors.forename: Guanhui
authors.initials: G
authors.lastname: Cheng
authors.affiliation: Institute for Energy, Environment and Sustainability Research, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada. guohe_huang@outlook.com.|Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada. guohe_huang@outlook.com.
authors.forename: Guohe
authors.initials: G
authors.lastname: Huang
authors.affiliation: Institute for Energy, Environment and Sustainability Research, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada.
authors.forename: Cong
authors.initials: C
authors.lastname: Dong
authors.affiliation: Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China.
authors.forename: Ye
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Institute for Energy, Environment and Sustainability Research, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada.|Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada.
authors.forename: Xiujuan
authors.initials: X
authors.lastname: Chen
authors.affiliation: Institute for Energy, Environment and Sustainability Research, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada.|Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada.
authors.forename: Jiapei
authors.initials: J
authors.lastname: Chen
mesh_terms: D000068476:Beijing; D017143:Fuzzy Logic; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D062611:Solid Waste; D018505:Waste Management / Q000379:methods*
chemical_list: D062611:Solid Waste
keywords: Beijing; Discreteness; Heterogeneities; Hierarchy; Interactions; Municipal solid waste management