Novembro 2017 vol. 3 num. 12 - 11º Congresso Brasileiro de Inovação e Gestão de Desenvolvimento do Produto

Poster - Open Access.

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MACHINE LEARNING, INTERNET OF THINGS AND THE FUZZY FRONT END OF PRODUCT DEVELOPMENT

MACHINE LEARNING, INTERNET OF THINGS AND THE FUZZY FRONT END OF PRODUCT DEVELOPMENT

Yamamura, Charles Lincoln Kenji ;

Poster:

Product pre-development or “fuzzy” front end is the set of exploratory activities performed before the decision to invest in a project and to develop it. The purpose of this study is to investigate how the Internet of Things and machine learning are applicable to the front end of product development, in the lean approach. A foundation of lean product development is to generate knowledge that creates customer value. Another is to reduce waste of human, material, monetary and time resources. A method to achieve value generation and resource optimization is to bring forward the technical and market investigations (front loading) from the development process, while there is still tolerance for mistakes and significant changes in the product concept. Time and effort dedicated at this stage will be offset by waste avoided during the development phase. The fuzzy front end is a learning activity. It is paramount to investigate and test all possible hypotheses and alternatives. The Internet of Things, through the diffusion of sensors and transmitters, communication, storage, and data processing networks, will allow access to massive volume of data. Machine learning is the set of algorithms capable of potentializing the learning process from that data.

Poster:

Product pre-development or “fuzzy” front end is the set of exploratory activities performed before the decision to invest in a project and to develop it. The purpose of this study is to investigate how the Internet of Things and machine learning are applicable to the front end of product development, in the lean approach. A foundation of lean product development is to generate knowledge that creates customer value. Another is to reduce waste of human, material, monetary and time resources. A method to achieve value generation and resource optimization is to bring forward the technical and market investigations (front loading) from the development process, while there is still tolerance for mistakes and significant changes in the product concept. Time and effort dedicated at this stage will be offset by waste avoided during the development phase. The fuzzy front end is a learning activity. It is paramount to investigate and test all possible hypotheses and alternatives. The Internet of Things, through the diffusion of sensors and transmitters, communication, storage, and data processing networks, will allow access to massive volume of data. Machine learning is the set of algorithms capable of potentializing the learning process from that data.

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Palavras-chave: machine learning, Internet-of-Things, deep learning, product pre-development, fuzzy front end,

Palavras-chave: machine learning, Internet-of-Things, deep learning, product pre-development, fuzzy front end,

DOI: 10.5151/cbgdp2017-012

Referências bibliográficas
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Como citar:

Yamamura, Charles Lincoln Kenji; "MACHINE LEARNING, INTERNET OF THINGS AND THE FUZZY FRONT END OF PRODUCT DEVELOPMENT", p. 112-121 . In: . São Paulo: Blucher, 2017.
ISSN 2318-6968, DOI 10.5151/cbgdp2017-012

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