Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach

In recent years, the new technologies of the Industry 4.0 have been considered by the academic and industrial community due to the increasing sustainability and future competitiveness of the manufacturing sector. However, manufacturers face many challenges when implementing Industry 4.0 that must be...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Soft computing (Berlin, Germany) Germany), 2023-11, Vol.27 (21), p.15479-15496
Hauptverfasser: Kiani, Mehrdad, Andalib Ardakani, Davood
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 15496
container_issue 21
container_start_page 15479
container_title Soft computing (Berlin, Germany)
container_volume 27
creator Kiani, Mehrdad
Andalib Ardakani, Davood
description In recent years, the new technologies of the Industry 4.0 have been considered by the academic and industrial community due to the increasing sustainability and future competitiveness of the manufacturing sector. However, manufacturers face many challenges when implementing Industry 4.0 that must be identified and analyzed. The present study seeks to identify and analyze the challenges of implementing Industry 4.0 in the glass industry in Iran. Based on a systematic review of the literature, a total of 23 challenges were identified in 6 dimensions. In the next step, using the Fuzzy DEMATEL-ANP technique and a survey of 10 experts, causal relationships between challenges were identified and prioritized. Findings showed that financial challenges are the most critical cause, and organizational-managerial challenges are the most critical effect in implementing new technologies in Industry 4.0. Also, human-cultural challenges interact more with other challenges. Finally, the results showed the challenges of cyber security issues, lack of regulatory, legal and contractual mechanisms, lack of standards, laws and regulations and a general framework in the field of digital and lack of budget and financial instruments for education, R&D and digital operations, the most important challenges in the implementation of new technologies of the Fourth Industrial Revolution in polluting industries such as the glass industry. This study, for the first time, identifies and analyzes the challenges of implementing Industry 4.0 in one of Iran's polluting industries. The results of this study help policymakers to develop strategies for the acceptance and implementation of Industry 4.0.
doi_str_mv 10.1007/s00500-023-09053-4
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2917921756</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2917921756</sourcerecordid><originalsourceid>FETCH-LOGICAL-c270t-3ca1e998b1f858dd85da44e6f81e7a1be66b226a4e00ed6dccdf0c41923683143</originalsourceid><addsrcrecordid>eNp9kEtPwzAQhCMEEqXwBzhZ4uyyfsRJuFWlBaTyOJSz5dpOm5ImwU4O7a_HaZC4cdqV9ptZzUTRLYEJAUjuPUAMgIEyDBnEDPOzaEQ4YzjhSXZ-2ilOBGeX0ZX3OwBKkpiNonpRVKaoNkirzqsSOVuqtqgrvy0apCqDnKq--nudo0B2vnUHxCeAin1T2r2t2hOO9FaVpa021j8ghfLueDygx_nrdDVf4unbB1JN42qlt9fRRa5Kb29-5zj6XMxXs2e8fH96mU2XWNMEWsy0IjbL0jXJ0zg1Jo2N4tyKPCU2UWRthVhTKhS3ANYIo7XJQXOSUSZSFsKOo7vBN7z97qxv5a7uXBVeSpqRJOvji0DRgdKu9t7ZXDau2Ct3kARkX6wcipWhWHkqVvbWbBD5AIfE7s_6H9UPEcV7cg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2917921756</pqid></control><display><type>article</type><title>Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach</title><source>SpringerLink Journals (MCLS)</source><source>ProQuest Central</source><creator>Kiani, Mehrdad ; Andalib Ardakani, Davood</creator><creatorcontrib>Kiani, Mehrdad ; Andalib Ardakani, Davood</creatorcontrib><description>In recent years, the new technologies of the Industry 4.0 have been considered by the academic and industrial community due to the increasing sustainability and future competitiveness of the manufacturing sector. However, manufacturers face many challenges when implementing Industry 4.0 that must be identified and analyzed. The present study seeks to identify and analyze the challenges of implementing Industry 4.0 in the glass industry in Iran. Based on a systematic review of the literature, a total of 23 challenges were identified in 6 dimensions. In the next step, using the Fuzzy DEMATEL-ANP technique and a survey of 10 experts, causal relationships between challenges were identified and prioritized. Findings showed that financial challenges are the most critical cause, and organizational-managerial challenges are the most critical effect in implementing new technologies in Industry 4.0. Also, human-cultural challenges interact more with other challenges. Finally, the results showed the challenges of cyber security issues, lack of regulatory, legal and contractual mechanisms, lack of standards, laws and regulations and a general framework in the field of digital and lack of budget and financial instruments for education, R&amp;D and digital operations, the most important challenges in the implementation of new technologies of the Fourth Industrial Revolution in polluting industries such as the glass industry. This study, for the first time, identifies and analyzes the challenges of implementing Industry 4.0 in one of Iran's polluting industries. The results of this study help policymakers to develop strategies for the acceptance and implementation of Industry 4.0.</description><identifier>ISSN: 1432-7643</identifier><identifier>EISSN: 1433-7479</identifier><identifier>DOI: 10.1007/s00500-023-09053-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Artificial Intelligence ; Automation ; Computational Intelligence ; Control ; Cybersecurity ; Decision making ; Engineering ; Fuzzy Systems and Their Mathematics ; Glass industry ; Industry 4.0 ; Internet of Things ; Legislation ; Literature reviews ; Mathematical Logic and Foundations ; Mechatronics ; New technology ; Product development ; Robotics</subject><ispartof>Soft computing (Berlin, Germany), 2023-11, Vol.27 (21), p.15479-15496</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-3ca1e998b1f858dd85da44e6f81e7a1be66b226a4e00ed6dccdf0c41923683143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00500-023-09053-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2917921756?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,27924,27925,33744,41488,42557,43805,51319,64385,64389,72469</link.rule.ids></links><search><creatorcontrib>Kiani, Mehrdad</creatorcontrib><creatorcontrib>Andalib Ardakani, Davood</creatorcontrib><title>Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach</title><title>Soft computing (Berlin, Germany)</title><addtitle>Soft Comput</addtitle><description>In recent years, the new technologies of the Industry 4.0 have been considered by the academic and industrial community due to the increasing sustainability and future competitiveness of the manufacturing sector. However, manufacturers face many challenges when implementing Industry 4.0 that must be identified and analyzed. The present study seeks to identify and analyze the challenges of implementing Industry 4.0 in the glass industry in Iran. Based on a systematic review of the literature, a total of 23 challenges were identified in 6 dimensions. In the next step, using the Fuzzy DEMATEL-ANP technique and a survey of 10 experts, causal relationships between challenges were identified and prioritized. Findings showed that financial challenges are the most critical cause, and organizational-managerial challenges are the most critical effect in implementing new technologies in Industry 4.0. Also, human-cultural challenges interact more with other challenges. Finally, the results showed the challenges of cyber security issues, lack of regulatory, legal and contractual mechanisms, lack of standards, laws and regulations and a general framework in the field of digital and lack of budget and financial instruments for education, R&amp;D and digital operations, the most important challenges in the implementation of new technologies of the Fourth Industrial Revolution in polluting industries such as the glass industry. This study, for the first time, identifies and analyzes the challenges of implementing Industry 4.0 in one of Iran's polluting industries. The results of this study help policymakers to develop strategies for the acceptance and implementation of Industry 4.0.</description><subject>Artificial Intelligence</subject><subject>Automation</subject><subject>Computational Intelligence</subject><subject>Control</subject><subject>Cybersecurity</subject><subject>Decision making</subject><subject>Engineering</subject><subject>Fuzzy Systems and Their Mathematics</subject><subject>Glass industry</subject><subject>Industry 4.0</subject><subject>Internet of Things</subject><subject>Legislation</subject><subject>Literature reviews</subject><subject>Mathematical Logic and Foundations</subject><subject>Mechatronics</subject><subject>New technology</subject><subject>Product development</subject><subject>Robotics</subject><issn>1432-7643</issn><issn>1433-7479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtPwzAQhCMEEqXwBzhZ4uyyfsRJuFWlBaTyOJSz5dpOm5ImwU4O7a_HaZC4cdqV9ptZzUTRLYEJAUjuPUAMgIEyDBnEDPOzaEQ4YzjhSXZ-2ilOBGeX0ZX3OwBKkpiNonpRVKaoNkirzqsSOVuqtqgrvy0apCqDnKq--nudo0B2vnUHxCeAin1T2r2t2hOO9FaVpa021j8ghfLueDygx_nrdDVf4unbB1JN42qlt9fRRa5Kb29-5zj6XMxXs2e8fH96mU2XWNMEWsy0IjbL0jXJ0zg1Jo2N4tyKPCU2UWRthVhTKhS3ANYIo7XJQXOSUSZSFsKOo7vBN7z97qxv5a7uXBVeSpqRJOvji0DRgdKu9t7ZXDau2Ct3kARkX6wcipWhWHkqVvbWbBD5AIfE7s_6H9UPEcV7cg</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Kiani, Mehrdad</creator><creator>Andalib Ardakani, Davood</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20231101</creationdate><title>Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach</title><author>Kiani, Mehrdad ; Andalib Ardakani, Davood</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-3ca1e998b1f858dd85da44e6f81e7a1be66b226a4e00ed6dccdf0c41923683143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial Intelligence</topic><topic>Automation</topic><topic>Computational Intelligence</topic><topic>Control</topic><topic>Cybersecurity</topic><topic>Decision making</topic><topic>Engineering</topic><topic>Fuzzy Systems and Their Mathematics</topic><topic>Glass industry</topic><topic>Industry 4.0</topic><topic>Internet of Things</topic><topic>Legislation</topic><topic>Literature reviews</topic><topic>Mathematical Logic and Foundations</topic><topic>Mechatronics</topic><topic>New technology</topic><topic>Product development</topic><topic>Robotics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kiani, Mehrdad</creatorcontrib><creatorcontrib>Andalib Ardakani, Davood</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Soft computing (Berlin, Germany)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kiani, Mehrdad</au><au>Andalib Ardakani, Davood</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach</atitle><jtitle>Soft computing (Berlin, Germany)</jtitle><stitle>Soft Comput</stitle><date>2023-11-01</date><risdate>2023</risdate><volume>27</volume><issue>21</issue><spage>15479</spage><epage>15496</epage><pages>15479-15496</pages><issn>1432-7643</issn><eissn>1433-7479</eissn><abstract>In recent years, the new technologies of the Industry 4.0 have been considered by the academic and industrial community due to the increasing sustainability and future competitiveness of the manufacturing sector. However, manufacturers face many challenges when implementing Industry 4.0 that must be identified and analyzed. The present study seeks to identify and analyze the challenges of implementing Industry 4.0 in the glass industry in Iran. Based on a systematic review of the literature, a total of 23 challenges were identified in 6 dimensions. In the next step, using the Fuzzy DEMATEL-ANP technique and a survey of 10 experts, causal relationships between challenges were identified and prioritized. Findings showed that financial challenges are the most critical cause, and organizational-managerial challenges are the most critical effect in implementing new technologies in Industry 4.0. Also, human-cultural challenges interact more with other challenges. Finally, the results showed the challenges of cyber security issues, lack of regulatory, legal and contractual mechanisms, lack of standards, laws and regulations and a general framework in the field of digital and lack of budget and financial instruments for education, R&amp;D and digital operations, the most important challenges in the implementation of new technologies of the Fourth Industrial Revolution in polluting industries such as the glass industry. This study, for the first time, identifies and analyzes the challenges of implementing Industry 4.0 in one of Iran's polluting industries. The results of this study help policymakers to develop strategies for the acceptance and implementation of Industry 4.0.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00500-023-09053-4</doi><tpages>18</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1432-7643
ispartof Soft computing (Berlin, Germany), 2023-11, Vol.27 (21), p.15479-15496
issn 1432-7643
1433-7479
language eng
recordid cdi_proquest_journals_2917921756
source SpringerLink Journals (MCLS); ProQuest Central
subjects Artificial Intelligence
Automation
Computational Intelligence
Control
Cybersecurity
Decision making
Engineering
Fuzzy Systems and Their Mathematics
Glass industry
Industry 4.0
Internet of Things
Legislation
Literature reviews
Mathematical Logic and Foundations
Mechatronics
New technology
Product development
Robotics
title Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A04%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Finding%20causal%20relationship%20and%20ranking%20of%20industry%204.0%20implementation%20challenges:%20a%20fuzzy%20DEMATEL-ANP%20approach&rft.jtitle=Soft%20computing%20(Berlin,%20Germany)&rft.au=Kiani,%20Mehrdad&rft.date=2023-11-01&rft.volume=27&rft.issue=21&rft.spage=15479&rft.epage=15496&rft.pages=15479-15496&rft.issn=1432-7643&rft.eissn=1433-7479&rft_id=info:doi/10.1007/s00500-023-09053-4&rft_dat=%3Cproquest_cross%3E2917921756%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2917921756&rft_id=info:pmid/&rfr_iscdi=true