The main aim of this study was to optimize a previous model of MSW kerbside separate collection system (“old model”) developed for communities up to 10,000 inhabitants. The “new model”, compared with the old one, is more precise and complete as well as it allows additional performances and has several automated parts. It allows inserting input data in an Excel spreadsheet, and returns the output information to evaluate and analyse in order to take the most appropriate decisions. The new developed model can be used as decision support tool to design a kerbside separate collection system: the designer can both interact with the model and evaluate the automatic simulations; the designer can choose the most suitable solution for the case study on the base of specific needs. The model can be used for statistical evaluations or design forecasts, to compare different solutions in order to find the sub-optimal “preferred” solution.

OPTIMIZATION OF MSW KERBSIDE SEPARATE COLLECTION SYSTEMS THROUGH A DECISION SUPPORT MODEL

DE FEO, Giovanni;IANNONE, RAFFAELE;
2015

Abstract

The main aim of this study was to optimize a previous model of MSW kerbside separate collection system (“old model”) developed for communities up to 10,000 inhabitants. The “new model”, compared with the old one, is more precise and complete as well as it allows additional performances and has several automated parts. It allows inserting input data in an Excel spreadsheet, and returns the output information to evaluate and analyse in order to take the most appropriate decisions. The new developed model can be used as decision support tool to design a kerbside separate collection system: the designer can both interact with the model and evaluate the automatic simulations; the designer can choose the most suitable solution for the case study on the base of specific needs. The model can be used for statistical evaluations or design forecasts, to compare different solutions in order to find the sub-optimal “preferred” solution.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4650703
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