| KEYWORD |
Model-based prediction of the optimal time of recycled waste products sale
keywords PREDICTION, RECYCLING, STATISTICAL ANALYSIS
Reference persons GIANLUCA MASTRANTONIO
Research Groups Statistica biologia e industria
Thesis type MODELING AND DATA ANALYSIS, RESEARCH
Description The recycled fraction of waste collected from the territory is a valuable asset. It is periodically sold to companies that recycle it, according to the daily price of the raw material, that might be extremely volatile. This Thesis is a part of a collaboration between Moltosenso and the Department of Mathematical Science of the Politecnico, which is expected to produce a Ph.D.
The goal of the thesis is to develop a model to help and support the decision-maker in deciding the optimal time to sell the recycled waste. The model must take into a plethora of variables, among which: price variation, the storage capacity of the citizen dumpster, collection-model adopted by the company.
See also tesi1.pdf
Deadline 30/09/2020
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