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A utilização de Business Intelligence na otimização da gestão de stocks: dashboards de apoio à logística
| Name: | Description: | Size: | Format: | |
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| 2.93 MB | Adobe PDF |
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Advisor(s)
Abstract(s)
O Business Intelligence tem-se tornado cada vez mais relevante no ambiente
empresarial, à medida que as empresas reconhecem o seu contributo para o
desempenho organizacional, especialmente no apoio à tomada de decisões. Num
mercado altamente competitivo e instável, o BI ganha mais importância na obtenção de
vantagem competitiva em relação aos concorrentes. A implementação de um sistema
de BI pode ser uma estratégia eficaz para aumentar a produtividade. No entanto, esse
processo é complexo e depende de diversos fatores, sendo fundamental atender a
requisitos específicos para assegurar uma implementação bem-sucedida, ajustada às
necessidades das organizações.
O presente projeto aplicado elaborado no âmbito do Mestrado em Gestão de
Sistemas de Informação, envolveu o estudo da utilização de sistemas de Business
Intelligence para auxiliar na tomada de decisão do Gestor Logístico, com o objetivo de
identificar formas de otimizar a gestão de stock e encontrar soluções para os principais
problemas relacionados com o processo de aprovisionamento.
A metodologia proposta para este projeto baseou-se, principalmente, no modelo de
métodos mistos, caracterizado pela integração de técnicas quantitativas e qualitativas
em um único desenho de pesquisa, assente na interpretação dos dados, através da
análise documental e observação direta e indireta, na medida em que o investigador é
o Gestor de Logística da organização, e o principal conhecedor das necessidades e das
fontes necessárias para fornecer dados relevantes para a solução que se pretendeu
desenvolver. Como principais resultados verificou-se que a solução apresentada permite uma
visão mais concreta sobre os stocks da organização, permitindo realizar uma gestão
mais aprimorada do stock existente, enquanto melhora a relação entre consumo e
aprovisionamento. Assim, abre-se a possibilidade de implementar uma solução inicial
que permita melhorias e que seja expansível para os demais departamentos da
organização.
Business Intelligence has become increasingly relevant in the business environment, as companies recognize its contribution to organizational performance, particularly in supporting decision-making. In a highly competitive and unstable market, BI gains greater importance in obtaining a competitive advantage over rivals. Implementing a BI system can be an effective strategy to increase productivity. However, this process is complex and depends on various factors, making it essential to meet specific requirements to ensure a successful implementation tailored to the needs of the organizations. The present applied project, developed as part of the Master's in Information Systems Management, involved studying the use of Business Intelligence systems to assist the Logistics Manager in decision-making, with the aim of identifying ways to optimize stock management and find solutions to the main problems related to the provisioning process. The proposed methodology for this project primarily consisted of a mixed methods model, which involves integrating quantitative and qualitative techniques into a single research design, based on data interpretation through documentary analysis and direct and indirect observation, given that the researcher is the logistics manager of the organization and the main expert on the needs and sources necessary to provide relevant data for the solution intended to be developed. The main results indicate that the proposed solution allows for a broader and clearer view of the organization’s stocks, enabling improved management of existing stock while enhancing the relationship between consumption and provisioning. Thus, the possibility of implementing an initial solution that allows for improvements and is expandable to the other departments of the organization is opened.
Business Intelligence has become increasingly relevant in the business environment, as companies recognize its contribution to organizational performance, particularly in supporting decision-making. In a highly competitive and unstable market, BI gains greater importance in obtaining a competitive advantage over rivals. Implementing a BI system can be an effective strategy to increase productivity. However, this process is complex and depends on various factors, making it essential to meet specific requirements to ensure a successful implementation tailored to the needs of the organizations. The present applied project, developed as part of the Master's in Information Systems Management, involved studying the use of Business Intelligence systems to assist the Logistics Manager in decision-making, with the aim of identifying ways to optimize stock management and find solutions to the main problems related to the provisioning process. The proposed methodology for this project primarily consisted of a mixed methods model, which involves integrating quantitative and qualitative techniques into a single research design, based on data interpretation through documentary analysis and direct and indirect observation, given that the researcher is the logistics manager of the organization and the main expert on the needs and sources necessary to provide relevant data for the solution intended to be developed. The main results indicate that the proposed solution allows for a broader and clearer view of the organization’s stocks, enabling improved management of existing stock while enhancing the relationship between consumption and provisioning. Thus, the possibility of implementing an initial solution that allows for improvements and is expandable to the other departments of the organization is opened.
Description
Keywords
Gestão de Stocks Business Intelligence Otimização Decisão Stock management Optimization Decision