Dimensionamento de estoque de produto acabado em uma empresa de embalagens

Abstract

In the market scenario based on competitiveness, it is extremely important that companies seek alternatives capable of offering them strategic differentials, whether in terms of reducing their operating costs or by minimizing their excess stocks. In view of this, it is understood that the search for a demand forecast capable of providing alignment between the needs of production and the company can favor from a better management of inventories, to ensuring the fulfillment of your orders. In this way, it is identified that the use of SPSS Software can contribute to the decision-making process, since it is based on historical data on the quantities sold to generate more assertive forecasts. Through this software, it is possible to predict future demand and offer support for the organization's programming system. Given this, the present work aims to propose a quantitative method through time series for the realization of sales demand forecast, assisting the PCP sector, in a plastic packaging company in the food industry. This study presents an exploratory approach and is guided by a qualitative research of a descriptive character associated with quantitative methods. Initially, research with similar proposals is analyzed, aiming at a better understanding of the methods applied in these studies, paying attention to those that are based on demand criteria with seasonality and tendency for the development of this work. Historical sales demand data for the items defined for analysis were collected and, with the application of forecasting methods through the SPSS Software, demand forecasting was generated; thus, individually defining the best method for each item and showing the best practices for obtaining satisfactory results. [resumo fornecido pelo autor]