An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework

Bibliographic Details
Main Author: Rodrigues, Douglas
Publication Date: 2024
Other Authors: Silva, Aneirson [UNESP], Silva, Messias [UNESP], Oliveira, Isaías, Loureiro, Geilson
Format: Conference object
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.52202/078376-0037
https://hdl.handle.net/11449/301084
Summary: Developing new space technologies involves significant costs, particularly during the experimental testing phase, where theoretical concepts are validated in real-world scenarios. The inherent variability of results often necessitates extensive traditional testing, contributing to escalating expenses. Addressing this challenge requires effective management strategies to reduce sample sizes and streamline the development process while maintaining high quality standards. This paper focuses on optimizing a pivotal component of fuel cell technology for space missions: the xerogel. Employing Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) principles for efficient management and Response Surface Methodology (RSM) for quantitative analysis, we aim to enhance the efficiency, reliability, and quality of the development process. Despite the dynamic nature of the industry, a universally accepted approach to technology development within the space sector remains elusive, primarily due to its competitive landscape and emphasis on innovation, which can hinder standardization, particularly for nations entering the space race later. Our study seeks to bridge this gap by exploring the potential of implementing Six Sigma DMAIC to accelerate Brazil's space sector development, potentially establishing it as a national standard. Additionally, leveraging RSM will refine experimentation stages, resulting in robust models that accurately represent technology behavior and facilitate future enhancements while ensuring high-quality outcomes. In pursuit of these objectives, our research endeavors to devise a management-based framework tailored to xerogel development for space applications. By offering a systematic approach to enhance efficiency, competitiveness, and quality in Brazil's space endeavors, we aim to contribute to the advancement of space exploration and technology. Moreover, the successful implementation of Six Sigma DMAIC methodology as a management framework, coupled with the application of RSM for quantitative analysis, presents a reproducible model for expediting the development of diverse space technologies on a global scale. This collaborative approach not only facilitates knowledge dissemination but also stimulates innovation, thereby propelling advancements in space exploration.
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spelling An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC frameworkFuel CellManagementMultiobjective OptimizationResponse Surface MethodologySix SigmaSpaceDeveloping new space technologies involves significant costs, particularly during the experimental testing phase, where theoretical concepts are validated in real-world scenarios. The inherent variability of results often necessitates extensive traditional testing, contributing to escalating expenses. Addressing this challenge requires effective management strategies to reduce sample sizes and streamline the development process while maintaining high quality standards. This paper focuses on optimizing a pivotal component of fuel cell technology for space missions: the xerogel. Employing Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) principles for efficient management and Response Surface Methodology (RSM) for quantitative analysis, we aim to enhance the efficiency, reliability, and quality of the development process. Despite the dynamic nature of the industry, a universally accepted approach to technology development within the space sector remains elusive, primarily due to its competitive landscape and emphasis on innovation, which can hinder standardization, particularly for nations entering the space race later. Our study seeks to bridge this gap by exploring the potential of implementing Six Sigma DMAIC to accelerate Brazil's space sector development, potentially establishing it as a national standard. Additionally, leveraging RSM will refine experimentation stages, resulting in robust models that accurately represent technology behavior and facilitate future enhancements while ensuring high-quality outcomes. In pursuit of these objectives, our research endeavors to devise a management-based framework tailored to xerogel development for space applications. By offering a systematic approach to enhance efficiency, competitiveness, and quality in Brazil's space endeavors, we aim to contribute to the advancement of space exploration and technology. Moreover, the successful implementation of Six Sigma DMAIC methodology as a management framework, coupled with the application of RSM for quantitative analysis, presents a reproducible model for expediting the development of diverse space technologies on a global scale. This collaborative approach not only facilitates knowledge dissemination but also stimulates innovation, thereby propelling advancements in space exploration.National Institute for Space Research, Av. Dos Astronautas, SPSao Paulo State University, Av. Ariberto Pereira da Cunha, 333, SPSao Paulo State University, Av. Ariberto Pereira da Cunha, 333, SPNational Institute for Space ResearchUniversidade Estadual Paulista (UNESP)Rodrigues, DouglasSilva, Aneirson [UNESP]Silva, Messias [UNESP]Oliveira, IsaíasLoureiro, Geilson2025-04-29T18:57:10Z2024-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject381-395http://dx.doi.org/10.52202/078376-0037Proceedings of the International Astronautical Congress, IAC, p. 381-395.0074-1795https://hdl.handle.net/11449/30108410.52202/078376-00372-s2.0-105000201353Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the International Astronautical Congress, IACinfo:eu-repo/semantics/openAccess2025-04-30T13:36:59Zoai:repositorio.unesp.br:11449/301084Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T13:36:59Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
title An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
spellingShingle An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
Rodrigues, Douglas
Fuel Cell
Management
Multiobjective Optimization
Response Surface Methodology
Six Sigma
Space
title_short An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
title_full An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
title_fullStr An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
title_full_unstemmed An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
title_sort An innovative approach to developing fuel cells for space applications using the Sis Sigma DMAIC framework
author Rodrigues, Douglas
author_facet Rodrigues, Douglas
Silva, Aneirson [UNESP]
Silva, Messias [UNESP]
Oliveira, Isaías
Loureiro, Geilson
author_role author
author2 Silva, Aneirson [UNESP]
Silva, Messias [UNESP]
Oliveira, Isaías
Loureiro, Geilson
author2_role author
author
author
author
dc.contributor.none.fl_str_mv National Institute for Space Research
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Rodrigues, Douglas
Silva, Aneirson [UNESP]
Silva, Messias [UNESP]
Oliveira, Isaías
Loureiro, Geilson
dc.subject.por.fl_str_mv Fuel Cell
Management
Multiobjective Optimization
Response Surface Methodology
Six Sigma
Space
topic Fuel Cell
Management
Multiobjective Optimization
Response Surface Methodology
Six Sigma
Space
description Developing new space technologies involves significant costs, particularly during the experimental testing phase, where theoretical concepts are validated in real-world scenarios. The inherent variability of results often necessitates extensive traditional testing, contributing to escalating expenses. Addressing this challenge requires effective management strategies to reduce sample sizes and streamline the development process while maintaining high quality standards. This paper focuses on optimizing a pivotal component of fuel cell technology for space missions: the xerogel. Employing Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) principles for efficient management and Response Surface Methodology (RSM) for quantitative analysis, we aim to enhance the efficiency, reliability, and quality of the development process. Despite the dynamic nature of the industry, a universally accepted approach to technology development within the space sector remains elusive, primarily due to its competitive landscape and emphasis on innovation, which can hinder standardization, particularly for nations entering the space race later. Our study seeks to bridge this gap by exploring the potential of implementing Six Sigma DMAIC to accelerate Brazil's space sector development, potentially establishing it as a national standard. Additionally, leveraging RSM will refine experimentation stages, resulting in robust models that accurately represent technology behavior and facilitate future enhancements while ensuring high-quality outcomes. In pursuit of these objectives, our research endeavors to devise a management-based framework tailored to xerogel development for space applications. By offering a systematic approach to enhance efficiency, competitiveness, and quality in Brazil's space endeavors, we aim to contribute to the advancement of space exploration and technology. Moreover, the successful implementation of Six Sigma DMAIC methodology as a management framework, coupled with the application of RSM for quantitative analysis, presents a reproducible model for expediting the development of diverse space technologies on a global scale. This collaborative approach not only facilitates knowledge dissemination but also stimulates innovation, thereby propelling advancements in space exploration.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-01
2025-04-29T18:57:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.52202/078376-0037
Proceedings of the International Astronautical Congress, IAC, p. 381-395.
0074-1795
https://hdl.handle.net/11449/301084
10.52202/078376-0037
2-s2.0-105000201353
url http://dx.doi.org/10.52202/078376-0037
https://hdl.handle.net/11449/301084
identifier_str_mv Proceedings of the International Astronautical Congress, IAC, p. 381-395.
0074-1795
10.52202/078376-0037
2-s2.0-105000201353
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the International Astronautical Congress, IAC
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 381-395
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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