Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
QHQXV
The purpose of this study was to identify the main uncertainties involved in the fuzzy front end phase of a new product development and to determine the weight of factors that define the time to market a product. The focus of this study has emerged from the need to explain the complexity of the fuzzy front end of a project and to understand and establish a treatment for the variables involved. Although literature covers the existence of difficulties in managing the fuzzy front end of projects, there is no reference to the identification of those variables and to the determination of their influence on the time to market. The interest in the fuzzy front end is justified due to the doubts that occur at that point of the development process of a new product. The fuzzy front end mentioned by some authors covers project management difficulties that occur at the very beginning of a project due to the lack of more precise data and to the possibility that the project team may face unknown situations and tasks. This paper proposes the use of systemic modeling tools in the fuzzy front end of a new product and the use of linear regression and variance analysis to determine the time to market. A study to be used as the database has been carried out with a home appliance company.
Marcos Vinicius De Barros. 2014. \u201cAppliancesa New Product Development: Exploring the Influence of Fuzzy Front End Phase on Time to Market\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 13 (GJRE Volume 13 Issue G5): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
Total Score: 104
Country: Brazil
Subject: Global Journal of Research in Engineering - G: Industrial Engineering
Authors: Marcos Vinicius De Barros, Osmar Possamai, Luiz Veriano Oliveira Dalla Valentina, Marco Aurelio De Oliveira (PhD/Dr. count: 0)
View Count (all-time): 150
Total Views (Real + Logic): 4735
Total Downloads (simulated): 2372
Publish Date: 2014 01, Thu
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
The purpose of this study was to identify the main uncertainties involved in the fuzzy front end phase of a new product development and to determine the weight of factors that define the time to market a product. The focus of this study has emerged from the need to explain the complexity of the fuzzy front end of a project and to understand and establish a treatment for the variables involved. Although literature covers the existence of difficulties in managing the fuzzy front end of projects, there is no reference to the identification of those variables and to the determination of their influence on the time to market. The interest in the fuzzy front end is justified due to the doubts that occur at that point of the development process of a new product. The fuzzy front end mentioned by some authors covers project management difficulties that occur at the very beginning of a project due to the lack of more precise data and to the possibility that the project team may face unknown situations and tasks. This paper proposes the use of systemic modeling tools in the fuzzy front end of a new product and the use of linear regression and variance analysis to determine the time to market. A study to be used as the database has been carried out with a home appliance company.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.