Aim of this study was try to apply optimization methods to the carbonate dimensional stones industry. Technical and scientific literature was studied about quarrying and processing of carbonate rocks and in particular about marble. It was also investigated recent study carried out about mathematical optimization methods applied to mining industry. Noted the importance of this kind of application and their various scientific and technological fields, including quarrying and mining processes, it proceeded to examine in detail the entire cycle production from extraction to the processing plant related to the case study. Working phases was collected following the logic of the classical production theory and has been iterated for several production cycles in order to ensure statistical significance of detected data. Work it has been performed in quarry and processing plant sites located in Orosei (NU), Sardinia. It has been applied to the optimization theory of networks as a result of which it was possible to reach the target set initially. The reticular technical programming used can be extrapolated to similar situations and also assist in the proper technical management of economic and environmental - in the mining sector in general. The research work has shown that it is possible to apply mathematical optimization techniques over networks to help in the planning and control of manufacturing processes in the carbonate stone industry. It 'was possible to simulate different operational scenarios in the factory and quarry, on which have been successfully applied two methods of optimization already widely used in other operational contexts: the Critical Path Method and Method of Maximum Flow and Minimum Cut. These methods represent a powerful analytical tool for help in the decisions that the technician must take both during the design of the activities, both in the case should monitor the activities already in progress in view of improving the efficiency of processes.
Metodi di ottimizzazione dei processi produttivi applicati al settore dei lapidei carbonatici
MEDDA, PIERPAOLO
2016-03-10
Abstract
Aim of this study was try to apply optimization methods to the carbonate dimensional stones industry. Technical and scientific literature was studied about quarrying and processing of carbonate rocks and in particular about marble. It was also investigated recent study carried out about mathematical optimization methods applied to mining industry. Noted the importance of this kind of application and their various scientific and technological fields, including quarrying and mining processes, it proceeded to examine in detail the entire cycle production from extraction to the processing plant related to the case study. Working phases was collected following the logic of the classical production theory and has been iterated for several production cycles in order to ensure statistical significance of detected data. Work it has been performed in quarry and processing plant sites located in Orosei (NU), Sardinia. It has been applied to the optimization theory of networks as a result of which it was possible to reach the target set initially. The reticular technical programming used can be extrapolated to similar situations and also assist in the proper technical management of economic and environmental - in the mining sector in general. The research work has shown that it is possible to apply mathematical optimization techniques over networks to help in the planning and control of manufacturing processes in the carbonate stone industry. It 'was possible to simulate different operational scenarios in the factory and quarry, on which have been successfully applied two methods of optimization already widely used in other operational contexts: the Critical Path Method and Method of Maximum Flow and Minimum Cut. These methods represent a powerful analytical tool for help in the decisions that the technician must take both during the design of the activities, both in the case should monitor the activities already in progress in view of improving the efficiency of processes.File | Dimensione | Formato | |
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