Registro fonte: From data to value: a model to manage experimental data collected from durability tests within the product development process

From data to value: a model to manage experimental data collected from durability tests within the product development process

Coupled with the pressure from competition, regulations, and the overall need for improvements, organizations started to recognize their data as a business asset. Although companies have more data than ever at their disposal, actually deriving meaningful insights and value from them is easier said t...

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Autor principal:	Larocca, Arthur Eduardo de Freitas
Formato:	Dissertação
Idioma:	Inglês
Publicado em:	Universidade Tecnológica Federal do Paraná 2021
Assuntos:	Projeto de produto Modelos de engenharia Métodos de simulação Simulação (Computadores) Indústria automobilística Produtos novos - Desenvolvimento Product design Engineering models Simulation methods Computer simulation Automobile industry and trade New products - Development CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::PROCESSOS DE FABRICACAO Engenharia Mecânica
Acesso em linha:	http://repositorio.utfpr.edu.br/jspui/handle/1/25836
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id	riut-1-25836
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spelling	riut-1-258362021-08-26T06:05:31Z From data to value: a model to manage experimental data collected from durability tests within the product development process De dados para valor: um modelo para o gerenciamento de dados experimentais coletados em testes de durabilidade durante o processo de desenvolvimento do produto Larocca, Arthur Eduardo de Freitas Borsato, Milton https://orcid.org/0000-0002-3607-8315 http://lattes.cnpq.br/9039613643111474 Diaz, David Carlos Romero . . Stark, John . . Borsato, Milton https://orcid.org/0000-0002-3607-8315 http://lattes.cnpq.br/9039613643111474 Projeto de produto Modelos de engenharia Métodos de simulação Simulação (Computadores) Indústria automobilística Produtos novos - Desenvolvimento Product design Engineering models Simulation methods Computer simulation Automobile industry and trade New products - Development CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::PROCESSOS DE FABRICACAO Engenharia Mecânica Coupled with the pressure from competition, regulations, and the overall need for improvements, organizations started to recognize their data as a business asset. Although companies have more data than ever at their disposal, actually deriving meaningful insights and value from them is easier said than done. Within the context of the product development process (PDP) and collaborative engineering, the management of experimental data has been identified as a research gap. While many studies have tackled data and collaboration based on computer-aided technologies (Cax) environments, the management of the measured data has been observed as a scarce topic in the literature. Moreover, among all verifications and validations performed during development, further analyses in a multinational manufacturing company indicated a higher prevalence of durability tests performed in prototypes. In this concern, the main objective of this work is to propose a model to manage measurement files collected in durability tests which would enable and foster their reuse across projects and throughout the product development organization. For this purpose, this qualitative applied research tackles this challenge based on the methodological framework of the Design Science Research Methodology (DSRM). Built upon prior literature and considering the constraints that hinder data reuse, a logical data model was developed and documented as a class diagram in the Unified Modeling Language (UML). This artifact comprises a set of approaches that have been designed to enable the complete lifecycle of the most recurrent data in durability testing: load, strain, acceleration, and displacement. The main strategy of the proposed model is the enhancement of metadata into the measurement files, só important information, that is usually unstructured within test reports, is stamped and structured into the test signals. Several concepts were developed based on this strategy, such as the concept of data versions and the novel approach for the documentation of the instrumentation positioning as cartesian coordinates. A proofof-concept has been demonstrated using real measurement files and other related information to key academic and industrial stakeholders, who also took part in the development and evaluation of the solution. Feedback and satisfaction surveys suggested that the proposed model is complete and faithful to real-world phenomena. They also suggested that the proposed artifact is better than the current model (or way of working) regarding its internal consistency, level of detail, and robustness. The relevance of this work lies in its applied nature and potential contributions towards a more collaborative and efficient product development process regarding the verification and validation of new products. Junto à pressão da concorrência, regulamentações e a necessidade geral de melhorias, as companhias começaram a reconhecer os seus dados como um ativo de negócios. Embora as empresas tenham mais dados do que nunca à disposição, convertê-los em conclusões significativas e valor é um desafio. Dentro do contexto do processo de desenvolvimento de produtos (PDP) e de engenharia colaborativa, o gerenciamento de dados experimentais foi identificado como uma oportunidade de pesquisa. Apesar de vários estudos abordarem a gestão de dados e colaboração em ambientes de tecnologias auxiliadas por computador (Cax), o gerenciamento dos dados medidos foi notado como um tópico escasso na literatura. Além disso, dentre todas as verificações e validações realizadas no desenvolvimento de produtos, análises adicionais em uma empresa multinacional de manufatura indicaram uma maior prevalência de testes de durabilidade realizados em protótipos. Sob esta ótica, o objetivo deste estudo é propor um modelo para gerenciar arquivos de medição coletados em testes de durabilidade que fomente a reutilização dos mesmos através de diferentes projetos e ao longo da organização de desenvolvimento de produto. Para tal, esta pesquisa qualitativa aplicada trata este tema adotando a abordagem metodológica de Design Science Research Methodology (DSRM). Baseado em referências da literatura e considerando os obstáculos que impedem a reutilização dos dados, um modelo de dados lógico foi desenvolvido e documentado como um diagrama de classe na notação UML (Unified Modeling Language). Tal artefato encompassa um conjunto de propostas que foram desenvolvidas para ensejar um ciclo de vida completo para os dados mais recorrentes em testes de durabilidade, tais quais: força, deformação, aceleração e deslocamento. A principal estratégia do modelo proposto é a utilização extendida de metadados nos arquivos de medição. Isto permetiria que as informações relevantes ao experimento, as quais normalmente são encontradas de forma não estruturadas em relatórios de teste, sejam anexadas e estruturadas nos próprios sinais medidos. Diversos conceitos foram desenvolvidos baseados nesta estratégia, como o de diferentes versões para os dados experimentais e a nova abordagem para a documentação da posição da instrumentação baseada em coordenadas cartesianas. Uma prova de conceito fora demonstrada usando dados e informações reais para as partes interessadas da indústria e do meio acadêmico. Pesquisas de satisfação sugeriram que o artefato proposto é completo e aborda um tema relevante. Essas pesquisas também sugeriram que o modelo proposto é melhor que o modelo (ou forma de trabalho) atual nos quesitos de consitência interna, nível de detalhe e robustez. A relevância deste trabalho reside na sua natureza aplicada e potenciais contribuições para um processo de desenvolvimento de produtos mais colaborativo e eficiente no que diz respeito à verificação e validação de novos produtos. 2021-08-25T18:51:14Z 2021-08-25T18:51:14Z 2021-06-25 masterThesis LAROCCA, Arthur Eduardo de Freitas. From data to value: a model to manage experimental data collected from durability tests within the product development process. 2021. Dissertação (Mestrado em Engenharia Mecânica e de Materiais) - Universidade Tecnológica Federal do Paraná, Curitiba, 2021. http://repositorio.utfpr.edu.br/jspui/handle/1/25836 eng openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Universidade Tecnológica Federal do Paraná Curitiba Brasil Programa de Pós-Graduação em Engenharia Mecânica e de Materiais UTFPR
institution	Universidade Tecnológica Federal do Paraná
collection	RIUT
language	Inglês
topic	Projeto de produto Modelos de engenharia Métodos de simulação Simulação (Computadores) Indústria automobilística Produtos novos - Desenvolvimento Product design Engineering models Simulation methods Computer simulation Automobile industry and trade New products - Development CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::PROCESSOS DE FABRICACAO Engenharia Mecânica
spellingShingle	Projeto de produto Modelos de engenharia Métodos de simulação Simulação (Computadores) Indústria automobilística Produtos novos - Desenvolvimento Product design Engineering models Simulation methods Computer simulation Automobile industry and trade New products - Development CNPQ::ENGENHARIAS::ENGENHARIA MECANICA::PROCESSOS DE FABRICACAO Engenharia Mecânica Larocca, Arthur Eduardo de Freitas From data to value: a model to manage experimental data collected from durability tests within the product development process
description	Coupled with the pressure from competition, regulations, and the overall need for improvements, organizations started to recognize their data as a business asset. Although companies have more data than ever at their disposal, actually deriving meaningful insights and value from them is easier said than done. Within the context of the product development process (PDP) and collaborative engineering, the management of experimental data has been identified as a research gap. While many studies have tackled data and collaboration based on computer-aided technologies (Cax) environments, the management of the measured data has been observed as a scarce topic in the literature. Moreover, among all verifications and validations performed during development, further analyses in a multinational manufacturing company indicated a higher prevalence of durability tests performed in prototypes. In this concern, the main objective of this work is to propose a model to manage measurement files collected in durability tests which would enable and foster their reuse across projects and throughout the product development organization. For this purpose, this qualitative applied research tackles this challenge based on the methodological framework of the Design Science Research Methodology (DSRM). Built upon prior literature and considering the constraints that hinder data reuse, a logical data model was developed and documented as a class diagram in the Unified Modeling Language (UML). This artifact comprises a set of approaches that have been designed to enable the complete lifecycle of the most recurrent data in durability testing: load, strain, acceleration, and displacement. The main strategy of the proposed model is the enhancement of metadata into the measurement files, só important information, that is usually unstructured within test reports, is stamped and structured into the test signals. Several concepts were developed based on this strategy, such as the concept of data versions and the novel approach for the documentation of the instrumentation positioning as cartesian coordinates. A proofof-concept has been demonstrated using real measurement files and other related information to key academic and industrial stakeholders, who also took part in the development and evaluation of the solution. Feedback and satisfaction surveys suggested that the proposed model is complete and faithful to real-world phenomena. They also suggested that the proposed artifact is better than the current model (or way of working) regarding its internal consistency, level of detail, and robustness. The relevance of this work lies in its applied nature and potential contributions towards a more collaborative and efficient product development process regarding the verification and validation of new products.
format	Dissertação
author	Larocca, Arthur Eduardo de Freitas
author_sort	Larocca, Arthur Eduardo de Freitas
title	From data to value: a model to manage experimental data collected from durability tests within the product development process
title_short	From data to value: a model to manage experimental data collected from durability tests within the product development process
title_full	From data to value: a model to manage experimental data collected from durability tests within the product development process
title_fullStr	From data to value: a model to manage experimental data collected from durability tests within the product development process
title_full_unstemmed	From data to value: a model to manage experimental data collected from durability tests within the product development process
title_sort	from data to value: a model to manage experimental data collected from durability tests within the product development process
publisher	Universidade Tecnológica Federal do Paraná
publishDate	2021
citation	LAROCCA, Arthur Eduardo de Freitas. From data to value: a model to manage experimental data collected from durability tests within the product development process. 2021. Dissertação (Mestrado em Engenharia Mecânica e de Materiais) - Universidade Tecnológica Federal do Paraná, Curitiba, 2021.
url	http://repositorio.utfpr.edu.br/jspui/handle/1/25836
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score	10,814766

From data to value: a model to manage experimental data collected from durability tests within the product development process

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