國立虎尾科技大學 |

Data Science for Industry 4.0 and Sustainability : = A Survey and Analysis Based on Open Data.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Data Science for Industry 4.0 and Sustainability :/
Reminder of title:	A Survey and Analysis Based on Open Data.
Author:	Costa, Filipe Diogo Silva.
Description:	1 online resource (188 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-05.
Contained By:	Masters Abstracts International85-05.
Subject:	Smart cities. -
Online resource:	click for full text (PQDT)
ISBN:	9798380750639

Data Science for Industry 4.0 and Sustainability : = A Survey and Analysis Based on Open Data.
Costa, Filipe Diogo Silva.

Data Science for Industry 4.0 and Sustainability :A Survey and Analysis Based on Open Data. - 1 online resource (188 pages)

Source: Masters Abstracts International, Volume: 85-05.

Thesis (M.M.E.)--Instituto Politecnico do Porto (Portugal), 2022.

Includes bibliographical references

The last few years have been marked by the transition of companies and organizations to more efficient, productive and leaner practices in their processes and systems. In the spectrum of Industry and Engineering, the successful transition to Industry 4.0 is a clear goal for many Small and Medium Enterprises (SMEs) and bigger-sized companies. However, there are economic, social and environmental challenges for this transition that require innovative approaches to overcome them.The starting point for the development of this dissertation is exploring the importance of Data as a crucial resource and Data-science as a tool for companies, organizations and even public institutions to achieve innovative solutions through collaboration. As it will be further explained, Data is essential in decision making, but in many cases, organizations can't access relevant information and tools because they are either proprietary or because there is a lack of collaboration between them and third parties. There is a common misconception that competition between companies within the same industry prohibits them from collaborating with each other. However, many times data-sharing and collaborative approaches can actually benefit both of them, increase the market they operate in, and accelerate innovation.Even though the adoption of Industry 4.0 has been already underway, this transition cannot be considered successful unless it improves sustainability across the economic, social and environmental areas of society. Those three sustainable pillars should always be considered a priority in the research of industrial and engineering evolution. Today, more than ever before, information about those topics is widely available but there is still a lack of interest by scientists and scholars in studying some of them. The following research aims to study Industry 4.0 and Sustainability themes through Data Science by incorporating open data and leveraging open-source tools in order to achieve Sustainable Industry 4.0. For that, studying the trends and current state of Industry 4.0, Sustainability and open data in the world, as well as identifying the industries, regions, and enterprises that benefit the most from Industry 4.0 adoption, and understanding if openness of data has a positive impact on Social Sustainability are the main objectives of the study. For that are used methods such as SLR (Sistematic Literature Review) in the bibliographic review and quantitative analysis through open-source software such as Python and R in the development of the research.The main results show a positive trend in Industry 4.0 adoption through sustainable practices, mainly on developed countries, and a growing trend of openness of data, which can be positive for transparency in both Industry and Sustainability.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380750639Subjects--Topical Terms:

1207137
Smart cities.
Index Terms--Genre/Form:

554714
Electronic books.

Data Science for Industry 4.0 and Sustainability : = A Survey and Analysis Based on Open Data.
LDR:07208ntm a22004217 4500 001 1147295
005 20240909100749.5
006 m o d
007 cr bn ---uuuuu
008 250605s2022 xx obm 000 0 eng d
020 $a 9798380750639
035 $a (MiAaPQ)AAI30654229
035 $a (MiAaPQ)Portugal104002220793
035 $a AAI30654229
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Costa, Filipe Diogo Silva. $3 1472987
245 1 0 $a Data Science for Industry 4.0 and Sustainability : $b A Survey and Analysis Based on Open Data.
264 0 $c 2022
300 $a 1 online resource (188 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-05.
500 $a Advisor: de Castro, Helio Cristiano Gomes Alves;da Silva Avila, Paulo Antonio.
502 $a Thesis (M.M.E.)--Instituto Politecnico do Porto (Portugal), 2022.
504 $a Includes bibliographical references
520 $a The last few years have been marked by the transition of companies and organizations to more efficient, productive and leaner practices in their processes and systems. In the spectrum of Industry and Engineering, the successful transition to Industry 4.0 is a clear goal for many Small and Medium Enterprises (SMEs) and bigger-sized companies. However, there are economic, social and environmental challenges for this transition that require innovative approaches to overcome them.The starting point for the development of this dissertation is exploring the importance of Data as a crucial resource and Data-science as a tool for companies, organizations and even public institutions to achieve innovative solutions through collaboration. As it will be further explained, Data is essential in decision making, but in many cases, organizations can't access relevant information and tools because they are either proprietary or because there is a lack of collaboration between them and third parties. There is a common misconception that competition between companies within the same industry prohibits them from collaborating with each other. However, many times data-sharing and collaborative approaches can actually benefit both of them, increase the market they operate in, and accelerate innovation.Even though the adoption of Industry 4.0 has been already underway, this transition cannot be considered successful unless it improves sustainability across the economic, social and environmental areas of society. Those three sustainable pillars should always be considered a priority in the research of industrial and engineering evolution. Today, more than ever before, information about those topics is widely available but there is still a lack of interest by scientists and scholars in studying some of them. The following research aims to study Industry 4.0 and Sustainability themes through Data Science by incorporating open data and leveraging open-source tools in order to achieve Sustainable Industry 4.0. For that, studying the trends and current state of Industry 4.0, Sustainability and open data in the world, as well as identifying the industries, regions, and enterprises that benefit the most from Industry 4.0 adoption, and understanding if openness of data has a positive impact on Social Sustainability are the main objectives of the study. For that are used methods such as SLR (Sistematic Literature Review) in the bibliographic review and quantitative analysis through open-source software such as Python and R in the development of the research.The main results show a positive trend in Industry 4.0 adoption through sustainable practices, mainly on developed countries, and a growing trend of openness of data, which can be positive for transparency in both Industry and Sustainability.
520 $a Os ultimos anos tem sido marcados pela transicao por parte de empresas e organizacoes para praticas mais eficientes, produtivas e de menores desperdicios nos seus processos e sistemas. No espectro da Industria e Engenharia, a transicao bem sucedida para a Industria 4.0 e um objetivo claro por varias Pequenas e Medias Empresas (PMEs) e tambem por empresas maiores. No entanto, existem desafios de cariz economico, social e ambiental para esta transicao, que requerem abordagens inovadoras para que os mesmos sejam ultrapassados.O ponto de partida para o desenvolvimento desta dissertacao passou por explorar a importancia de Dados como um recurso crucial e da Ciencia de Dados como uma ferramenta para empresas, organizacoes e ate mesmo instituicoes publicas atingirem solucoes inovadoras atraves de colaboracao. Como sera explicado ao longo da dissertacao, os dados sao essenciais em tomadas de decisao, mas em muitos casos, as organizacoes nao conseguem aceder a informacao ou ferramentas relevantes porque ou sao proprietarias, ou porque existe a falta de colaboracao entre elas e terceiros. Existe tambem o conceito errado de que a competicao entre empresas numa dada industria as proibe de colaborarem entre si. No entanto, muitas vezes a partilha de informacao e abordagens colaborativas podem, na verdade, beneficiar ambas, expandindo o mercado onde operam e acelerando inovacao.Apesar da adocao da Industria 4.0 estar em progresso, esta transicao nao pode ser considerada bem sucedida se nao melhorar a sustentabilidade nas areas economicas, sociais e ambientais da sociedade. Esses tres pilares da sustentabilidade devem ser considerados uma prioridade no estudo da evolucao industrial e da engenharia. Hoje, mais do que nunca, a informacao acerca desses topicos e facilmente acedida, mas continua a existir interesse por parte de cientistas e academicos no estudo de alguns deles. A presente pesquisa tenciona estudar a Industria 4.0 e temas de Sustentabilidade atraves de Ciencia de Dados, incorporando dados abertos e explorando ferramentas open-source, para contribuir para uma Industria 4.0 Sustentavel. Para tal, estudar a tendencia e estado atual da Industria 4.0, Sustentabilidade e abertura de dados no mundo, assim como identificar as industrias, regioes e empresas que mais beneficiam desta adocao, e finalmente compreender se uma maior abertura de dados pode ter um impacto positivo na Sustentabilidade Social sao os principais objetivos do estudo. Assim, sao usados metodos como RSL (Revisao Sistematica da Literatura) na revisao bibliografica e analise quantitativa atraves de software open-source como o Python e R nos capitulos de desenvolvimento. Os principais resultados mostram uma tendencia positiva na adocao da Industria 4.0 atraves de praticas sustentaveis, principalmente em paises desenvolvidos, e uma tendencia crescente na abertura de dados, que pode ser positiva para uma industria mais sustentavel e transparente.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Smart cities. $3 1207137
650 4 $a Open source software. $3 561177
650 4 $a Decision making. $3 528319
650 4 $a Information sources. $3 1214928
650 4 $a Computer science. $3 573171
650 4 $a Industrial engineering. $3 679492
650 4 $a Information technology. $3 559429
650 4 $a Web studies. $3 1148502
650 4 $a Sustainability. $3 793436
650 4 $a Urban planning. $3 1180826
655 7 $a Electronic books. $2 local $3 554714
690 $a 0800
690 $a 0984
690 $a 0546
690 $a 0489
690 $a 0646
690 $a 0338
690 $a 0640
690 $a 0999
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Instituto Politecnico do Porto (Portugal). $3 1466867
773 0 $t Masters Abstracts International $g 85-05.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30654229 $z click for full text (PQDT)