ANALYSIS OF THE DEGREE OF RISK OF R&DI PROJECTS USING FUZZY LOGIC TO IDENTIFY TECHNICAL FEASIBILITY
Item
-
Tipo do ITEM
-
Artigo Ciêntifico
-
Título do Artigo
-
ANALYSIS OF THE DEGREE OF RISK OF R&DI PROJECTS USING FUZZY LOGIC TO IDENTIFY TECHNICAL FEASIBILITY
-
Descrição
-
Currently, business structures are increasingly focused on pursuit of continuous improvement in their processes so that organizations can remain competitive in the market, since customers require more and more products or services with high quality levels. With the reference this scenario, this work brings a methodology of analysis of the risk of R&DI (Research, Development and Innovation) projects, using the fuzzy mathematical model, developed in an organization whose core business is the research and development of new technologies. This analysis occurs through the development of linguistic variables (input), with the aim of identifying measure the degree of risk in projects. After the determination of the
guidelines to be followed, it was possible to obtain results that demonstrate that the developed fuzzy model can assist in the identification and prioritization of the variables that increase the degree of risk of technologies development projects.
-
Abstract
-
Currently, business structures are increasingly focused on pursuit of continuous improvement in their processes so that organizations can remain competitive in the market, since customers require more and more products or services with high quality levels. With the reference this scenario, this work brings a methodology of analysis of the risk of R&DI (Research, Development and Innovation) projects, using the fuzzy mathematical model, developed in an organization whose core business is the research and development of new technologies. This analysis occurs through the development of linguistic variables (input), with the aim of identifying measure the degree of risk in projects. After the determination of the
guidelines to be followed, it was possible to obtain results that demonstrate that the developed fuzzy model can assist in the identification and prioritization of the variables that increase the degree of risk of technologies development projects.
-
Língua do arquivo
-
inglês
-
Data da Publicação
-
Ano 2020
-
Palavra-chave
-
risks
-
Processes
-
Project Management
-
Fuzzy Logic
-
Autores
-
Kleber de Lima Pontes
-
Manoel Henrique Reis Nascimento
-
Local
-
ITEGAM - Manaus, 2022
-
Áreas de Conhecimento
-
Otimização de Processos Industriais
-
Turma
-
Turma 1
