Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective
<p dir="ltr">Industrial 4.0 (I4.0) is believed to revolutionize supply chain (SC) management and the articles in this domain have experienced remarkable increments in recent years. However, the existing insights are scattered over different sub-topics and most of the existing review...
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| مؤلفون آخرون: | , , , |
| منشور في: |
2024
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| _version_ | 1864513557152923648 |
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| author | Zhitao Xu (2426023) |
| author2 | Adel Elomri (8984063) Roberto Baldacci (14779375) Laoucine Kerbache (17148370) Zhenyong Wu (19273915) |
| author2_role | author author author author |
| author_facet | Zhitao Xu (2426023) Adel Elomri (8984063) Roberto Baldacci (14779375) Laoucine Kerbache (17148370) Zhenyong Wu (19273915) |
| author_role | author |
| dc.creator.none.fl_str_mv | Zhitao Xu (2426023) Adel Elomri (8984063) Roberto Baldacci (14779375) Laoucine Kerbache (17148370) Zhenyong Wu (19273915) |
| dc.date.none.fl_str_mv | 2024-02-29T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s10479-024-05879-9 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Frontiers_and_trends_of_supply_chain_optimization_in_the_age_of_industry_4_0_an_operations_research_perspective/27080740 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Manufacturing engineering Supply chain optimization Operation research methods Industrial 4.0 Literature review Data analytics |
| dc.title.none.fl_str_mv | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Industrial 4.0 (I4.0) is believed to revolutionize supply chain (SC) management and the articles in this domain have experienced remarkable increments in recent years. However, the existing insights are scattered over different sub-topics and most of the existing review papers have ignored the underground decision-making process using OR methods. This paper aims to depict the current state of the art of the articles on SC optimization in I4.0 and identify the frontiers and limitations as well as the promising research avenue in this arena. In this study, the systematic literature review methodology combined with the content analysis is adopted to survey the literature between 2013 and 2022. It contributes to the literature by identifying the four OR innovations to typify the recent advances in SC optimization: new modeling conditions, new inputs, new decisions, and new algorithms. Furthermore, we recommend four promising research avenues in this interplay: (1) incorporating new decisions relevant to data-enabled SC decisions, (2) developing data-enabled modeling approaches, (3) preprocessing parameters, and (4) developing data-enabled algorithms. Scholars can take this investigation as a means to ignite collaborative research that tackles the emerging problems in business, whereas practitioners can glean a better understanding of how to employ their OR experts to support digital SC decision-making.</p><p dir="ltr">Correction: Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective: <a href="https://dx.doi.org/10.1007/s10479-024-05935-4" target="_blank">https://dx.doi.org/10.1007/s10479-024-05935-4</a>, published online 18 March 2024.</p><h2>Other Information</h2><p dir="ltr">Published in: Annals of Operations Research<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10479-024-05879-9" target="_blank">https://dx.doi.org/10.1007/s10479-024-05879-9</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_7de5bc2c35981423f9f3bd75e5d4398b |
| identifier_str_mv | 10.1007/s10479-024-05879-9 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/27080740 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspectiveZhitao Xu (2426023)Adel Elomri (8984063)Roberto Baldacci (14779375)Laoucine Kerbache (17148370)Zhenyong Wu (19273915)Commerce, management, tourism and servicesTransportation, logistics and supply chainsEngineeringManufacturing engineeringSupply chain optimizationOperation research methodsIndustrial 4.0Literature reviewData analytics<p dir="ltr">Industrial 4.0 (I4.0) is believed to revolutionize supply chain (SC) management and the articles in this domain have experienced remarkable increments in recent years. However, the existing insights are scattered over different sub-topics and most of the existing review papers have ignored the underground decision-making process using OR methods. This paper aims to depict the current state of the art of the articles on SC optimization in I4.0 and identify the frontiers and limitations as well as the promising research avenue in this arena. In this study, the systematic literature review methodology combined with the content analysis is adopted to survey the literature between 2013 and 2022. It contributes to the literature by identifying the four OR innovations to typify the recent advances in SC optimization: new modeling conditions, new inputs, new decisions, and new algorithms. Furthermore, we recommend four promising research avenues in this interplay: (1) incorporating new decisions relevant to data-enabled SC decisions, (2) developing data-enabled modeling approaches, (3) preprocessing parameters, and (4) developing data-enabled algorithms. Scholars can take this investigation as a means to ignite collaborative research that tackles the emerging problems in business, whereas practitioners can glean a better understanding of how to employ their OR experts to support digital SC decision-making.</p><p dir="ltr">Correction: Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective: <a href="https://dx.doi.org/10.1007/s10479-024-05935-4" target="_blank">https://dx.doi.org/10.1007/s10479-024-05935-4</a>, published online 18 March 2024.</p><h2>Other Information</h2><p dir="ltr">Published in: Annals of Operations Research<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10479-024-05879-9" target="_blank">https://dx.doi.org/10.1007/s10479-024-05879-9</a></p>2024-02-29T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s10479-024-05879-9https://figshare.com/articles/journal_contribution/Frontiers_and_trends_of_supply_chain_optimization_in_the_age_of_industry_4_0_an_operations_research_perspective/27080740CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/270807402024-02-29T09:00:00Z |
| spellingShingle | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective Zhitao Xu (2426023) Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Manufacturing engineering Supply chain optimization Operation research methods Industrial 4.0 Literature review Data analytics |
| status_str | publishedVersion |
| title | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective |
| title_full | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective |
| title_fullStr | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective |
| title_full_unstemmed | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective |
| title_short | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective |
| title_sort | Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective |
| topic | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Manufacturing engineering Supply chain optimization Operation research methods Industrial 4.0 Literature review Data analytics |