Four-Tier Comparative Analysis and Contribution Attribution.
<p>(A) Multi-dimensional performance across four optimization strategies (A: Current System, B: Standard Bi-level, C: Advanced Algorithms, D: Our Method). Bars represent mean values (n = 30) with error bars indicating standard deviation. (B) Contribution attribution of the total impact. Based...
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2025
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| _version_ | 1849927629628506112 |
|---|---|
| author | Kewei Wang (556371) |
| author2 | Kekun Fan (22683234) Yuhong Chen (120972) |
| author2_role | author author |
| author_facet | Kewei Wang (556371) Kekun Fan (22683234) Yuhong Chen (120972) |
| author_role | author |
| dc.creator.none.fl_str_mv | Kewei Wang (556371) Kekun Fan (22683234) Yuhong Chen (120972) |
| dc.date.none.fl_str_mv | 2025-11-25T18:24:24Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0336993.g008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Four-Tier_Comparative_Analysis_and_Contribution_Attribution_/30713328 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Science Policy Space Science Biological Sciences not elsewhere classified utilizes hierarchical optimization transcend conventional optimization sustainable local systems strategic network reconfiguration operational vehicle routing offering significant policy generate excessive costs cold chain logistics systematic transformation framework systematic transformation framework reveals systematically resolved study develops structural dependencies service objectives regional distribution regional dependencies quality deterioration product freshness practical implications practical conditions level improvements level improvement inefficient networks enabling emergent empirically validates concurrent outcomes carbon emissions apparent trade 001 ), |
| dc.title.none.fl_str_mv | Four-Tier Comparative Analysis and Contribution Attribution. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(A) Multi-dimensional performance across four optimization strategies (A: Current System, B: Standard Bi-level, C: Advanced Algorithms, D: Our Method). Bars represent mean values (n = 30) with error bars indicating standard deviation. (B) Contribution attribution of the total impact. Based on Shapley value decomposition, separating the effects of System Architecture (Restructuring), Algorithm Enhancement, and Process Integration (Our Enhancements).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_248ba685e65a775daffb339680a8aa1e |
| identifier_str_mv | 10.1371/journal.pone.0336993.g008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30713328 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Four-Tier Comparative Analysis and Contribution Attribution.Kewei Wang (556371)Kekun Fan (22683234)Yuhong Chen (120972)Science PolicySpace ScienceBiological Sciences not elsewhere classifiedutilizes hierarchical optimizationtranscend conventional optimizationsustainable local systemsstrategic network reconfigurationoperational vehicle routingoffering significant policygenerate excessive costscold chain logisticssystematic transformation frameworksystematic transformationframework revealssystematically resolvedstudy developsstructural dependenciesservice objectivesregional distributionregional dependenciesquality deteriorationproduct freshnesspractical implicationspractical conditionslevel improvementslevel improvementinefficient networksenabling emergentempirically validatesconcurrent outcomescarbon emissionsapparent trade001 ),<p>(A) Multi-dimensional performance across four optimization strategies (A: Current System, B: Standard Bi-level, C: Advanced Algorithms, D: Our Method). Bars represent mean values (n = 30) with error bars indicating standard deviation. (B) Contribution attribution of the total impact. Based on Shapley value decomposition, separating the effects of System Architecture (Restructuring), Algorithm Enhancement, and Process Integration (Our Enhancements).</p>2025-11-25T18:24:24ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0336993.g008https://figshare.com/articles/figure/Four-Tier_Comparative_Analysis_and_Contribution_Attribution_/30713328CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307133282025-11-25T18:24:24Z |
| spellingShingle | Four-Tier Comparative Analysis and Contribution Attribution. Kewei Wang (556371) Science Policy Space Science Biological Sciences not elsewhere classified utilizes hierarchical optimization transcend conventional optimization sustainable local systems strategic network reconfiguration operational vehicle routing offering significant policy generate excessive costs cold chain logistics systematic transformation framework systematic transformation framework reveals systematically resolved study develops structural dependencies service objectives regional distribution regional dependencies quality deterioration product freshness practical implications practical conditions level improvements level improvement inefficient networks enabling emergent empirically validates concurrent outcomes carbon emissions apparent trade 001 ), |
| status_str | publishedVersion |
| title | Four-Tier Comparative Analysis and Contribution Attribution. |
| title_full | Four-Tier Comparative Analysis and Contribution Attribution. |
| title_fullStr | Four-Tier Comparative Analysis and Contribution Attribution. |
| title_full_unstemmed | Four-Tier Comparative Analysis and Contribution Attribution. |
| title_short | Four-Tier Comparative Analysis and Contribution Attribution. |
| title_sort | Four-Tier Comparative Analysis and Contribution Attribution. |
| topic | Science Policy Space Science Biological Sciences not elsewhere classified utilizes hierarchical optimization transcend conventional optimization sustainable local systems strategic network reconfiguration operational vehicle routing offering significant policy generate excessive costs cold chain logistics systematic transformation framework systematic transformation framework reveals systematically resolved study develops structural dependencies service objectives regional distribution regional dependencies quality deterioration product freshness practical implications practical conditions level improvements level improvement inefficient networks enabling emergent empirically validates concurrent outcomes carbon emissions apparent trade 001 ), |