New Research Improves Predictions for Solid Waste Management

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A new approach for predicting the contents of municipal solid waste can help improve the efficiency of recycling and landfill operations.

A new approach for predicting the contents of municipal solid waste can help improve the efficiency of recycling and landfill operations. The new method applies a conventional approach to forecasting how many total tons of solid waste will be generated at the county level and incorporates a separate, complimentary model that predicts the makeup of the waste with an unprecedented level of detail.

“The effect of our new approach is that solid waste managers can forecast a detailed breakdown of the different materials that will make up the waste stream in addition to the overall tonnage of waste they might expect in the coming year,” says Adolfo Escobedo, co-author of a paper on the work and an associate professor in North Carolina State University’s Edward P. Fitts Department of Industrial and Systems Engineering.

“The diverse materials that end up in the waste stream are managed differently, particularly when attempting to implement a sustainable operation,” says Joshua Grassel, corresponding author of the paper and a Ph.D. student in the operations research graduate program at NC State. “It’s useful for managers to have a good idea of what sorts of materials they’ll be getting, and in what amounts, so that they can plan for how to process those materials. Some things can be recycled, some can be composted, and so on. Different types of infrastructure are required to process the array of materials, and proper planning is critical for making sustainable waste management a practical reality.”

Read More: North Carolina State University

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