Loading…
The improvement strategy of fresh produce supply chain resilience based on extenics
Nowadays, the world is in turmoil, climate and environmental problems are prominent, the import and export of fresh agricultural products are restricted, etc. The impact of the growing demand for fresh agricultural products and healthy lifestyle choices, and fresh agricultural products are essential...
Saved in:
Published in: | PloS one 2024-09, Vol.19 (9), p.e0309008 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c506t-c13dbbc6dd3d0383b65606fdfe7cf8863791c261a23f4b306b48656d024d0d513 |
container_end_page | |
container_issue | 9 |
container_start_page | e0309008 |
container_title | PloS one |
container_volume | 19 |
creator | Liao, Zhangzheyi Li, Chaoling Lu, Lin Luo, Xiaochun |
description | Nowadays, the world is in turmoil, climate and environmental problems are prominent, the import and export of fresh agricultural products are restricted, etc. The impact of the growing demand for fresh agricultural products and healthy lifestyle choices, and fresh agricultural products are essential for people's daily life, which are perishable, fragile, seasonal, and other unstable factors. Therefore, when the fresh produce supply chain faces various pressures and difficulties, how to enhance the resilience of the supply chain against various problems and risks with flexible and multi-dimensional strategies and methods has become the focus of extensive attention. This kind of problem is a typical contradictory problem, and previous studies have failed to achieve good results. In this paper, based on extenics, we are able to one-dimensionalise the multi-dimensional contradictory problems and multi-dimensionalise the one-dimensional contradictory problems to solve such problems in a scientific and effective way. Firstly, taking fresh agricultural products supply chain enterprise M as the research object, we constructed the fresh agricultural products supply chain enterprise toughness system and identified the toughness state of each index. Secondly, we found the low-evaluation toughness indexes that need to be solved and constructed a extension model of incompatible problems of enterprise toughness. Thirdly, we analysed the objectives and conditions of toughness incompatible problems of fresh agricultural products supply chain enterprises numerically and quantitatively, and then, with the objective of toughness improvement, we analyzed the correlation of the condition basic-elements of incompatible problems and carried out extension transformations. Again, the objectives and conditions of the incompatible problems of fresh produce supply chain enterprises are analysed numerically and quantitatively, and with toughness enhancement as the objective, the correlation analysis and extension transformation of the condition basic-elements of the incompatible problems are implemented to generate the set of toughness enhancement strategies that can solve the incompatible problems in a multidimensional and scientific way. Finally, the optimal toughness enhancement strategies are selected through the superiority evaluation and composed into a new strategy to enhance the toughness of the fresh produce supply chain. Combined with extenics calculations and screening, a n |
doi_str_mv | 10.1371/journal.pone.0309008 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3111459472</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A810663225</galeid><sourcerecordid>A810663225</sourcerecordid><originalsourceid>FETCH-LOGICAL-c506t-c13dbbc6dd3d0383b65606fdfe7cf8863791c261a23f4b306b48656d024d0d513</originalsourceid><addsrcrecordid>eNqNklFr1TAUx4sobk6_gWhBEH2416SnTdsnGWPqYDBw09eQJqe3GWlSk3Z4v_1yud24lT1IHhJyfud_knP-SfKWkjWFkn65dZO3wqwHZ3FNgNSEVM-SY1pDtmIZgecH56PkVQi3hBRQMfYyOYIa8goKOE6ubzpMdT94d4c92jENoxcjbrapa9PWY-jSGFOTxDRMw2C2qeyEtmmMaKPRxvtGBFSpsyn-HdFqGV4nL1phAr6Z95Pk17fzm7Mfq8ur7xdnp5crWRA2riQF1TSSKQWKQAUNKxhhrWqxlG1VMShrKjNGRQZt3gBhTV5FRJEsV0QVFE6S93vdwbjA534EDpTSvKjzMovE15mYmh6VjB_0wvDB6174LXdC82XE6o5v3B2PCjllxU7h06zg3Z8Jw8h7HSQaIyy6aV-MQVHmeUQ__IM-_aSZ2giDXNvWxcJyJ8pPK0oYgywrIrV-gopLYa9lnHir4_0i4fMiITJjnMdGTCHwi-uf_89e_V6yHw_YDoUZu-DMNGpnwxLM96D0LgSP7WOXKeE7wz50g-8My2fDxrR3hxN6THpwKNwDeVjliQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3111459472</pqid></control><display><type>article</type><title>The improvement strategy of fresh produce supply chain resilience based on extenics</title><source>Publicly Available Content Database</source><source>PubMed Central</source><source>Coronavirus Research Database</source><creator>Liao, Zhangzheyi ; Li, Chaoling ; Lu, Lin ; Luo, Xiaochun</creator><contributor>Bashir, Muhammad Khalid</contributor><creatorcontrib>Liao, Zhangzheyi ; Li, Chaoling ; Lu, Lin ; Luo, Xiaochun ; Bashir, Muhammad Khalid</creatorcontrib><description>Nowadays, the world is in turmoil, climate and environmental problems are prominent, the import and export of fresh agricultural products are restricted, etc. The impact of the growing demand for fresh agricultural products and healthy lifestyle choices, and fresh agricultural products are essential for people's daily life, which are perishable, fragile, seasonal, and other unstable factors. Therefore, when the fresh produce supply chain faces various pressures and difficulties, how to enhance the resilience of the supply chain against various problems and risks with flexible and multi-dimensional strategies and methods has become the focus of extensive attention. This kind of problem is a typical contradictory problem, and previous studies have failed to achieve good results. In this paper, based on extenics, we are able to one-dimensionalise the multi-dimensional contradictory problems and multi-dimensionalise the one-dimensional contradictory problems to solve such problems in a scientific and effective way. Firstly, taking fresh agricultural products supply chain enterprise M as the research object, we constructed the fresh agricultural products supply chain enterprise toughness system and identified the toughness state of each index. Secondly, we found the low-evaluation toughness indexes that need to be solved and constructed a extension model of incompatible problems of enterprise toughness. Thirdly, we analysed the objectives and conditions of toughness incompatible problems of fresh agricultural products supply chain enterprises numerically and quantitatively, and then, with the objective of toughness improvement, we analyzed the correlation of the condition basic-elements of incompatible problems and carried out extension transformations. Again, the objectives and conditions of the incompatible problems of fresh produce supply chain enterprises are analysed numerically and quantitatively, and with toughness enhancement as the objective, the correlation analysis and extension transformation of the condition basic-elements of the incompatible problems are implemented to generate the set of toughness enhancement strategies that can solve the incompatible problems in a multidimensional and scientific way. Finally, the optimal toughness enhancement strategies are selected through the superiority evaluation and composed into a new strategy to enhance the toughness of the fresh produce supply chain. Combined with extenics calculations and screening, a new strategy for supply chain resilience enhancement of fresh agricultural products was finally formed. The existing problems are solved from six aspects: product supply type, product demand, product supply efficiency, human resource quantity, production and processing equipment, and logistics guarantee ability. It provides a certain reference significance for the fresh agricultural products supply chain toughness enhancement, and helps enterprises to strengthen their competitiveness and sustainability through the enhancement of toughness.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0309008</identifier><identifier>PMID: 39348353</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agribusiness ; Agricultural industry ; Agricultural products ; Agriculture ; Agriculture - methods ; Biology and Life Sciences ; Business competition ; Competitiveness ; Computer and Information Sciences ; Correlation analysis ; Crops, Agricultural - growth & development ; Ecological balance ; Ecology and Environmental Sciences ; Economic aspects ; Engineering and Technology ; Evaluation ; Food supply ; Food Supply - methods ; Harvest ; Humans ; Innovations ; Logistics ; Management ; Medicine and Health Sciences ; Models, Theoretical ; Multidimensional methods ; Order quantity ; Physical Sciences ; R&D ; Research & development ; Resilience ; Social Sciences ; Supply chains ; Toughness</subject><ispartof>PloS one, 2024-09, Vol.19 (9), p.e0309008</ispartof><rights>Copyright: © 2024 Liao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Liao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Liao et al 2024 Liao et al</rights><rights>2024 Liao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c506t-c13dbbc6dd3d0383b65606fdfe7cf8863791c261a23f4b306b48656d024d0d513</cites><orcidid>0000-0002-4382-8807</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3111459472/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3111459472?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39348353$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bashir, Muhammad Khalid</contributor><creatorcontrib>Liao, Zhangzheyi</creatorcontrib><creatorcontrib>Li, Chaoling</creatorcontrib><creatorcontrib>Lu, Lin</creatorcontrib><creatorcontrib>Luo, Xiaochun</creatorcontrib><title>The improvement strategy of fresh produce supply chain resilience based on extenics</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Nowadays, the world is in turmoil, climate and environmental problems are prominent, the import and export of fresh agricultural products are restricted, etc. The impact of the growing demand for fresh agricultural products and healthy lifestyle choices, and fresh agricultural products are essential for people's daily life, which are perishable, fragile, seasonal, and other unstable factors. Therefore, when the fresh produce supply chain faces various pressures and difficulties, how to enhance the resilience of the supply chain against various problems and risks with flexible and multi-dimensional strategies and methods has become the focus of extensive attention. This kind of problem is a typical contradictory problem, and previous studies have failed to achieve good results. In this paper, based on extenics, we are able to one-dimensionalise the multi-dimensional contradictory problems and multi-dimensionalise the one-dimensional contradictory problems to solve such problems in a scientific and effective way. Firstly, taking fresh agricultural products supply chain enterprise M as the research object, we constructed the fresh agricultural products supply chain enterprise toughness system and identified the toughness state of each index. Secondly, we found the low-evaluation toughness indexes that need to be solved and constructed a extension model of incompatible problems of enterprise toughness. Thirdly, we analysed the objectives and conditions of toughness incompatible problems of fresh agricultural products supply chain enterprises numerically and quantitatively, and then, with the objective of toughness improvement, we analyzed the correlation of the condition basic-elements of incompatible problems and carried out extension transformations. Again, the objectives and conditions of the incompatible problems of fresh produce supply chain enterprises are analysed numerically and quantitatively, and with toughness enhancement as the objective, the correlation analysis and extension transformation of the condition basic-elements of the incompatible problems are implemented to generate the set of toughness enhancement strategies that can solve the incompatible problems in a multidimensional and scientific way. Finally, the optimal toughness enhancement strategies are selected through the superiority evaluation and composed into a new strategy to enhance the toughness of the fresh produce supply chain. Combined with extenics calculations and screening, a new strategy for supply chain resilience enhancement of fresh agricultural products was finally formed. The existing problems are solved from six aspects: product supply type, product demand, product supply efficiency, human resource quantity, production and processing equipment, and logistics guarantee ability. It provides a certain reference significance for the fresh agricultural products supply chain toughness enhancement, and helps enterprises to strengthen their competitiveness and sustainability through the enhancement of toughness.</description><subject>Agribusiness</subject><subject>Agricultural industry</subject><subject>Agricultural products</subject><subject>Agriculture</subject><subject>Agriculture - methods</subject><subject>Biology and Life Sciences</subject><subject>Business competition</subject><subject>Competitiveness</subject><subject>Computer and Information Sciences</subject><subject>Correlation analysis</subject><subject>Crops, Agricultural - growth & development</subject><subject>Ecological balance</subject><subject>Ecology and Environmental Sciences</subject><subject>Economic aspects</subject><subject>Engineering and Technology</subject><subject>Evaluation</subject><subject>Food supply</subject><subject>Food Supply - methods</subject><subject>Harvest</subject><subject>Humans</subject><subject>Innovations</subject><subject>Logistics</subject><subject>Management</subject><subject>Medicine and Health Sciences</subject><subject>Models, Theoretical</subject><subject>Multidimensional methods</subject><subject>Order quantity</subject><subject>Physical Sciences</subject><subject>R&D</subject><subject>Research & development</subject><subject>Resilience</subject><subject>Social Sciences</subject><subject>Supply chains</subject><subject>Toughness</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNqNklFr1TAUx4sobk6_gWhBEH2416SnTdsnGWPqYDBw09eQJqe3GWlSk3Z4v_1yud24lT1IHhJyfud_knP-SfKWkjWFkn65dZO3wqwHZ3FNgNSEVM-SY1pDtmIZgecH56PkVQi3hBRQMfYyOYIa8goKOE6ubzpMdT94d4c92jENoxcjbrapa9PWY-jSGFOTxDRMw2C2qeyEtmmMaKPRxvtGBFSpsyn-HdFqGV4nL1phAr6Z95Pk17fzm7Mfq8ur7xdnp5crWRA2riQF1TSSKQWKQAUNKxhhrWqxlG1VMShrKjNGRQZt3gBhTV5FRJEsV0QVFE6S93vdwbjA534EDpTSvKjzMovE15mYmh6VjB_0wvDB6174LXdC82XE6o5v3B2PCjllxU7h06zg3Z8Jw8h7HSQaIyy6aV-MQVHmeUQ__IM-_aSZ2giDXNvWxcJyJ8pPK0oYgywrIrV-gopLYa9lnHir4_0i4fMiITJjnMdGTCHwi-uf_89e_V6yHw_YDoUZu-DMNGpnwxLM96D0LgSP7WOXKeE7wz50g-8My2fDxrR3hxN6THpwKNwDeVjliQ</recordid><startdate>20240930</startdate><enddate>20240930</enddate><creator>Liao, Zhangzheyi</creator><creator>Li, Chaoling</creator><creator>Lu, Lin</creator><creator>Luo, Xiaochun</creator><general>Public Library of Science</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4382-8807</orcidid></search><sort><creationdate>20240930</creationdate><title>The improvement strategy of fresh produce supply chain resilience based on extenics</title><author>Liao, Zhangzheyi ; Li, Chaoling ; Lu, Lin ; Luo, Xiaochun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-c13dbbc6dd3d0383b65606fdfe7cf8863791c261a23f4b306b48656d024d0d513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agribusiness</topic><topic>Agricultural industry</topic><topic>Agricultural products</topic><topic>Agriculture</topic><topic>Agriculture - methods</topic><topic>Biology and Life Sciences</topic><topic>Business competition</topic><topic>Competitiveness</topic><topic>Computer and Information Sciences</topic><topic>Correlation analysis</topic><topic>Crops, Agricultural - growth & development</topic><topic>Ecological balance</topic><topic>Ecology and Environmental Sciences</topic><topic>Economic aspects</topic><topic>Engineering and Technology</topic><topic>Evaluation</topic><topic>Food supply</topic><topic>Food Supply - methods</topic><topic>Harvest</topic><topic>Humans</topic><topic>Innovations</topic><topic>Logistics</topic><topic>Management</topic><topic>Medicine and Health Sciences</topic><topic>Models, Theoretical</topic><topic>Multidimensional methods</topic><topic>Order quantity</topic><topic>Physical Sciences</topic><topic>R&D</topic><topic>Research & development</topic><topic>Resilience</topic><topic>Social Sciences</topic><topic>Supply chains</topic><topic>Toughness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liao, Zhangzheyi</creatorcontrib><creatorcontrib>Li, Chaoling</creatorcontrib><creatorcontrib>Lu, Lin</creatorcontrib><creatorcontrib>Luo, Xiaochun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liao, Zhangzheyi</au><au>Li, Chaoling</au><au>Lu, Lin</au><au>Luo, Xiaochun</au><au>Bashir, Muhammad Khalid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The improvement strategy of fresh produce supply chain resilience based on extenics</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-09-30</date><risdate>2024</risdate><volume>19</volume><issue>9</issue><spage>e0309008</spage><pages>e0309008-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Nowadays, the world is in turmoil, climate and environmental problems are prominent, the import and export of fresh agricultural products are restricted, etc. The impact of the growing demand for fresh agricultural products and healthy lifestyle choices, and fresh agricultural products are essential for people's daily life, which are perishable, fragile, seasonal, and other unstable factors. Therefore, when the fresh produce supply chain faces various pressures and difficulties, how to enhance the resilience of the supply chain against various problems and risks with flexible and multi-dimensional strategies and methods has become the focus of extensive attention. This kind of problem is a typical contradictory problem, and previous studies have failed to achieve good results. In this paper, based on extenics, we are able to one-dimensionalise the multi-dimensional contradictory problems and multi-dimensionalise the one-dimensional contradictory problems to solve such problems in a scientific and effective way. Firstly, taking fresh agricultural products supply chain enterprise M as the research object, we constructed the fresh agricultural products supply chain enterprise toughness system and identified the toughness state of each index. Secondly, we found the low-evaluation toughness indexes that need to be solved and constructed a extension model of incompatible problems of enterprise toughness. Thirdly, we analysed the objectives and conditions of toughness incompatible problems of fresh agricultural products supply chain enterprises numerically and quantitatively, and then, with the objective of toughness improvement, we analyzed the correlation of the condition basic-elements of incompatible problems and carried out extension transformations. Again, the objectives and conditions of the incompatible problems of fresh produce supply chain enterprises are analysed numerically and quantitatively, and with toughness enhancement as the objective, the correlation analysis and extension transformation of the condition basic-elements of the incompatible problems are implemented to generate the set of toughness enhancement strategies that can solve the incompatible problems in a multidimensional and scientific way. Finally, the optimal toughness enhancement strategies are selected through the superiority evaluation and composed into a new strategy to enhance the toughness of the fresh produce supply chain. Combined with extenics calculations and screening, a new strategy for supply chain resilience enhancement of fresh agricultural products was finally formed. The existing problems are solved from six aspects: product supply type, product demand, product supply efficiency, human resource quantity, production and processing equipment, and logistics guarantee ability. It provides a certain reference significance for the fresh agricultural products supply chain toughness enhancement, and helps enterprises to strengthen their competitiveness and sustainability through the enhancement of toughness.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39348353</pmid><doi>10.1371/journal.pone.0309008</doi><orcidid>https://orcid.org/0000-0002-4382-8807</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-09, Vol.19 (9), p.e0309008 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3111459472 |
source | Publicly Available Content Database; PubMed Central; Coronavirus Research Database |
subjects | Agribusiness Agricultural industry Agricultural products Agriculture Agriculture - methods Biology and Life Sciences Business competition Competitiveness Computer and Information Sciences Correlation analysis Crops, Agricultural - growth & development Ecological balance Ecology and Environmental Sciences Economic aspects Engineering and Technology Evaluation Food supply Food Supply - methods Harvest Humans Innovations Logistics Management Medicine and Health Sciences Models, Theoretical Multidimensional methods Order quantity Physical Sciences R&D Research & development Resilience Social Sciences Supply chains Toughness |
title | The improvement strategy of fresh produce supply chain resilience based on extenics |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T18%3A00%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20improvement%20strategy%20of%20fresh%20produce%20supply%20chain%20resilience%20based%20on%20extenics&rft.jtitle=PloS%20one&rft.au=Liao,%20Zhangzheyi&rft.date=2024-09-30&rft.volume=19&rft.issue=9&rft.spage=e0309008&rft.pages=e0309008-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0309008&rft_dat=%3Cgale_plos_%3EA810663225%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c506t-c13dbbc6dd3d0383b65606fdfe7cf8863791c261a23f4b306b48656d024d0d513%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3111459472&rft_id=info:pmid/39348353&rft_galeid=A810663225&rfr_iscdi=true |