This paper proposed an inexact reverse logistics model for municipal solid waste management systems
(IRWM). Waste managers, suppliers, industries and distributors were involved in strategic planning and
operational execution through reverse logistics management. All the parameters were assumed to be
intervals to quantify the uncertainties in the optimization process and solutions in IRWM. To solve this
model, a piecewise interval programming was developed to deal with MineMin functions in both
objectives and constraints. The application of the model was illustrated through a classical municipal
solid waste management case. With different cost parameters for landfill and the WTE, two scenarios
were analyzed. The IRWM could reflect the dynamic and uncertain characteristics of MSW management
systems, and could facilitate the generation of desired management plans. The model could be further
advanced through incorporating methods of stochastic or fuzzy parameters into its framework. Design of
multi-waste, multi-echelon, multi-uncertainty reverse logistics model for waste management network
would also be preferred.