Three were the main aims of the study: 1) modelling a kerbside separate collection system for the case study of Salerno in Southern Italy; 2) using the developed model to simulate alternative scenarios to optimize management costs; 3) evaluating the total costs for an increased level of separate collection able to reach the minimum Italian target of 65%. The city of Salerno has only one day per week for the collection of the residual waste, and the personnel were not able to collect all the quantity in the normal working hours. Therefore, overtime hours are needed with consequential additional costs. In order to optimize the management costs, alternative scenarios were simulated dividing the city into two parts, starting from a 50-50 percentage population division and considering different steps (60-40, 70-30, 80-20). The simulator was developed in Excel with a total enumeration algorithm. The aim of the simulator was to search, for different evaluation scenarios, the optimum size and the resource balance (number of vehicles and personnel) to find the optimum solution, which minimizes the total management costs. The optimum solution was obtained for the fifty-fifty solution minimizing the changing in the collection calendar.
Optimizing the cost of separate collection systems: the case study of Salerno
Giovanni De Feo
;Carmen Ferrara;ROSANIA, ROBERTO
2019
Abstract
Three were the main aims of the study: 1) modelling a kerbside separate collection system for the case study of Salerno in Southern Italy; 2) using the developed model to simulate alternative scenarios to optimize management costs; 3) evaluating the total costs for an increased level of separate collection able to reach the minimum Italian target of 65%. The city of Salerno has only one day per week for the collection of the residual waste, and the personnel were not able to collect all the quantity in the normal working hours. Therefore, overtime hours are needed with consequential additional costs. In order to optimize the management costs, alternative scenarios were simulated dividing the city into two parts, starting from a 50-50 percentage population division and considering different steps (60-40, 70-30, 80-20). The simulator was developed in Excel with a total enumeration algorithm. The aim of the simulator was to search, for different evaluation scenarios, the optimum size and the resource balance (number of vehicles and personnel) to find the optimum solution, which minimizes the total management costs. The optimum solution was obtained for the fifty-fifty solution minimizing the changing in the collection calendar.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
