Paulo Cesar Chagas Rodrigues (paulo@paulorodrigues.pro.br)
Prodcution Engineering, Universidade Estadual Paulista, Campus Guaratinguetá
February, 2014
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Bachelor in Management, Master in Production Engineering and pursuing PhD in Mechanical Engineering. From 2008 to 2011 was a professor of Business Administration courses and Sugarcane Production Technologist at Universidade do Sagrado Coração (USC) in Bauru, SP, Brazil. Since 2011 he has been exclusively dedicated to teaching in technical courses in Agribusiness and Events, at the Federal Institute of Education, Science and Technology of São Paulo (IFSP).


Manufacturing companies generally seek to develop management practices demand and establish a productive strategy enabling reduction of storage costs and possible productivity gain. The objective of this research is to develop and apply a mathematical model to minimize production costs and storage of inventories of raw materials and finished products, considering the possibility of holding the postponement of stocks in companies in the printing industry. The research method adopted was applied nature, with a quantitative approach with exploratory and descriptive purpose. The technical procedures adopted were bibliographic, documentary analysis and mathematical modeling. From real data from companies in the printing industry, the results obtained with the model application, the volumes of production, from raw materials to be purchased for the production costs, and production time involved, were validated by professional firms studied. With the application of the mathematical model in the companies studied, it was possible to compare the results obtained with the model and those provided by the companies surveyed. This allowed an analysis of the behavior of the developed model and the possible influence on the productive strategy of each company, with regard to the formulation of manufacturing strategy and its influence on the acquisition of raw materials and the storage of finished products. Another result achieved was to develop a model in Excel that can be used by companies of all sizes and can prove to be an interface between the ERP and APS.