Utilização de big data para integrar e harmonizar dados na cadeia de suprimentos numa indústria de cosméticos: estudo e prática

Abstract

This study investigated the impact of using big data to integrate and harmonize inventory data in the supply chain of a multinational cosmetics industry. The lack of analysis of large amounts of stock data can lead to management difficulties, a lack of real-time visibility of available products and a lack of synchronization between the different links in the chain. A case study showed that the application of big data drastically reduced the time needed to analyze stock data, from two days to just five minutes. The analysis revealed considerable excess and bsolete stock, mainly in packaging supplies. It was proposed that part of these supplies be sent to other plant, generating significant savings. The optimization provided by the harmonization of data resulted in improvements in resource management, production planning and distribution, educing bottlenecks and increasing operational efficiency. In addition, the detailed analysis enabled a precise view of bottlenecks, even identifying the existence of another plant in a different country dedicated to a specific product. The results obtained indicate that the use of big data in the cosmetics supply chain can generate significant benefits, such as better stock management, loss reduction and strategic decision-making based on reliable data. This results in a more agile response to market demands and increased operational efficiency. In onclusion, the application of big data to integrate and harmonize information in the supply chain has great potential to boost efficiency and strategic decision-making based on data. Using this accurate information can generate significant savings, improve resource management and boost the industry's ompetitiveness. To achieve maximum potential, it is crucial to invest in advanced technologies and effective analytical approaches to translate data into strategic information that drives efficiency in supply chain management