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Specification of standard experiments, models and interfaces for supporting to the production planning in the sugar cane industry, through simulation

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Author(s):
Mamoru Carlos Yamada
Total Authors: 1
Document type: Doctoral Thesis
Press: São Carlos. , ilustrações, tabelas.
Institution: Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD)
Defense date:
Examining board members:
Arthur José Vieira Porto; Creusa Sayuri Tahara Amaral; Antonio Batocchio; Renato Goulart Jasinevicius; Orides Morandin Junior
Advisor: Arthur José Vieira Porto
Field of knowledge: Engineering - Mechanical Engineering
Indexed in: Banco de Dados Bibliográficos da USP-DEDALUS
Location: Universidade de São Paulo. Biblioteca da Escola de Engenharia de São Carlos; EESC/TESE-EESC; Y19e
Abstract

This work proposes the specification and generation of standard experiments, models and interfaces for supporting to the process of production planning in the sugar cane industry, through simulation. Models embrace the agricultural and industrial sections of sugar cane plants, since the cane harvesting until the sugar and alcohol production. The system modelling, using commercial simulation softwares with flexibility of customization resources, seeks the generation of a simulation environment for performance and sensibility analyses. Standard models that compose this simulation environment allow simulations to be accomplished in 3 different scopes, from the plant, passing by the agricultural and industrial sections, and arriving at the level of the processes: cutting/loading, raw material reception, extraction, juice treatment, sugar production, alcohol production and stream generation. The user\'s interaction with the simulation environment through friendly interfaces, has the function of supplying the planner with an ease-to-use tool option, that makes possible the obtaining of useful information about the behavior and the interrelations among the principal variables that influence the system performance, allowing the choice of the most appropriate options in the search of improvements. (AU)