Analysis on the stability and evolutionary trend of the symbiosis system in the supply chain of fresh agricultural products
In order to increase the stability of fresh agricultural product supply chain, farmers and enterprises need to evolve into a symbiotic system of supply chain. At the present stage, symbiotic relations and evolutionary trends in a symbiotic system for fresh agricultural product supply chains lack qua...
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| creator | Sun, Baofeng Ma, Mingyang Li, Yan Zheng, Lili |
| description | In order to increase the stability of fresh agricultural product supply chain, farmers and enterprises need to evolve into a symbiotic system of supply chain. At the present stage, symbiotic relations and evolutionary trends in a symbiotic system for fresh agricultural product supply chains lack quantitative methods for determining symbiotic criteria. In the sense of quantification -oriented criteria, symbiotic systems for fresh agricultural product supply chains are defined, and an improved stationary state analysis method is proposed. Three key steps in this method are quantifying a symbiotic energy model with an evaluation model of ecological carrying capacity, setting up a system evolution model based on the logistic growth function, and verifying the symbiotic system's singularity and phase transition boundary by Lyapunov indirect method. MATLAB numerical simulation shows that types of singularity and the phase transition boundary of symbiotic system are divided effectively. And in both conditions, infinite exponential growth and convergence to steady state, the mutualism mode is the optimal choice for the symbiotic system we defined, symbiotic relations between farmers and cooperative companies are stable and long-term at this time. Those conclusions provide a reference approach to enhance the overall prospective benefits to the fresh agricultural products supply chain. |
| doi_str_mv | 10.1371/journal.pone.0236334 |
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At the present stage, symbiotic relations and evolutionary trends in a symbiotic system for fresh agricultural product supply chains lack quantitative methods for determining symbiotic criteria. In the sense of quantification -oriented criteria, symbiotic systems for fresh agricultural product supply chains are defined, and an improved stationary state analysis method is proposed. Three key steps in this method are quantifying a symbiotic energy model with an evaluation model of ecological carrying capacity, setting up a system evolution model based on the logistic growth function, and verifying the symbiotic system's singularity and phase transition boundary by Lyapunov indirect method. MATLAB numerical simulation shows that types of singularity and the phase transition boundary of symbiotic system are divided effectively. And in both conditions, infinite exponential growth and convergence to steady state, the mutualism mode is the optimal choice for the symbiotic system we defined, symbiotic relations between farmers and cooperative companies are stable and long-term at this time. Those conclusions provide a reference approach to enhance the overall prospective benefits to the fresh agricultural products supply chain.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0236334</identifier><identifier>PMID: 32730346</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural cooperatives ; Agricultural products ; Agriculture ; Agriculture - economics ; Biology and Life Sciences ; Blueberry Plants - growth & development ; Carrying capacity ; Computer and Information Sciences ; Computer simulation ; Cooperation ; Costs ; Costs and Cost Analysis ; Evolution ; Farmers ; Game theory ; Mathematical models ; Models, Biological ; Mutualism ; Numerical simulations ; People and Places ; Phase transitions ; Qualitative research ; Singularities ; Social Sciences ; Stability analysis ; Supply chains ; Symbiosis ; Systems stability</subject><ispartof>PloS one, 2020-07, Vol.15 (7), p.e0236334-e0236334</ispartof><rights>2020 Sun 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. 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At the present stage, symbiotic relations and evolutionary trends in a symbiotic system for fresh agricultural product supply chains lack quantitative methods for determining symbiotic criteria. In the sense of quantification -oriented criteria, symbiotic systems for fresh agricultural product supply chains are defined, and an improved stationary state analysis method is proposed. Three key steps in this method are quantifying a symbiotic energy model with an evaluation model of ecological carrying capacity, setting up a system evolution model based on the logistic growth function, and verifying the symbiotic system's singularity and phase transition boundary by Lyapunov indirect method. MATLAB numerical simulation shows that types of singularity and the phase transition boundary of symbiotic system are divided effectively. And in both conditions, infinite exponential growth and convergence to steady state, the mutualism mode is the optimal choice for the symbiotic system we defined, symbiotic relations between farmers and cooperative companies are stable and long-term at this time. Those conclusions provide a reference approach to enhance the overall prospective benefits to the fresh agricultural products supply chain.</description><subject>Agricultural cooperatives</subject><subject>Agricultural products</subject><subject>Agriculture</subject><subject>Agriculture - economics</subject><subject>Biology and Life Sciences</subject><subject>Blueberry Plants - growth & development</subject><subject>Carrying capacity</subject><subject>Computer and Information Sciences</subject><subject>Computer simulation</subject><subject>Cooperation</subject><subject>Costs</subject><subject>Costs and Cost Analysis</subject><subject>Evolution</subject><subject>Farmers</subject><subject>Game theory</subject><subject>Mathematical models</subject><subject>Models, Biological</subject><subject>Mutualism</subject><subject>Numerical simulations</subject><subject>People and Places</subject><subject>Phase transitions</subject><subject>Qualitative research</subject><subject>Singularities</subject><subject>Social Sciences</subject><subject>Stability analysis</subject><subject>Supply chains</subject><subject>Symbiosis</subject><subject>Systems stability</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptkktr3DAUhU1padK0_6C0hm66maklWQ9vCiH0EQh0k724lq9nNGgsV5IDJn--mtoJSelK4uo7RzriFMV7Um0Jk-TLwU9hALcd_YDbijLBWP2iOCcNoxtBK_byyf6seBPjoao4U0K8Ls4YlaxitTgv7i-zxxxtLP1Qpj2WMUFrnU1zCUNX4p13U7J-gDCXKWAe-X7h5mNr_UkY55jwWNpVP42jm0uzhzzIbB8w7kvYBWsml6YArhyD7yaT4tviVQ8u4rt1vShuv3-7vfq5ufn14_rq8mZjOBVpIxSiVD3SmgvoKo6CmtYwioaoThoFPWsbFGAIKMUJIFEcsWLScElozS6Kj4vt6HzU67dFTWvaVFwwITJxvRCdh4Megz3muNqD1X8HPuw0hGSNQy1aUJSCMbTjNZGiAaoayUVPDDDSk-z1db1tao_YGRxSzvzM9PnJYPd65--0ZA1lTGWDz6tB8L8njEkfbTToHAzop-XdUhFSy4x--gf9f7p6oUzwMQbsHx9DKn2q0oNKn6qk1ypl2YenQR5FD91hfwBgy8pc</recordid><startdate>20200730</startdate><enddate>20200730</enddate><creator>Sun, Baofeng</creator><creator>Ma, Mingyang</creator><creator>Li, Yan</creator><creator>Zheng, Lili</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>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>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><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7142-5407</orcidid></search><sort><creationdate>20200730</creationdate><title>Analysis on the stability and evolutionary trend of the symbiosis system in the supply chain of fresh agricultural products</title><author>Sun, Baofeng ; Ma, Mingyang ; Li, Yan ; Zheng, Lili</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-68ee78fe2456ad05e62cbc32ec18d7c8af3b9e6ac1a8851ae185ee037c571243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agricultural cooperatives</topic><topic>Agricultural products</topic><topic>Agriculture</topic><topic>Agriculture - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Baofeng</au><au>Ma, Mingyang</au><au>Li, Yan</au><au>Zheng, Lili</au><au>Memari, Ashkan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis on the stability and evolutionary trend of the symbiosis system in the supply chain of fresh agricultural products</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-07-30</date><risdate>2020</risdate><volume>15</volume><issue>7</issue><spage>e0236334</spage><epage>e0236334</epage><pages>e0236334-e0236334</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In order to increase the stability of fresh agricultural product supply chain, farmers and enterprises need to evolve into a symbiotic system of supply chain. At the present stage, symbiotic relations and evolutionary trends in a symbiotic system for fresh agricultural product supply chains lack quantitative methods for determining symbiotic criteria. In the sense of quantification -oriented criteria, symbiotic systems for fresh agricultural product supply chains are defined, and an improved stationary state analysis method is proposed. Three key steps in this method are quantifying a symbiotic energy model with an evaluation model of ecological carrying capacity, setting up a system evolution model based on the logistic growth function, and verifying the symbiotic system's singularity and phase transition boundary by Lyapunov indirect method. MATLAB numerical simulation shows that types of singularity and the phase transition boundary of symbiotic system are divided effectively. And in both conditions, infinite exponential growth and convergence to steady state, the mutualism mode is the optimal choice for the symbiotic system we defined, symbiotic relations between farmers and cooperative companies are stable and long-term at this time. Those conclusions provide a reference approach to enhance the overall prospective benefits to the fresh agricultural products supply chain.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32730346</pmid><doi>10.1371/journal.pone.0236334</doi><orcidid>https://orcid.org/0000-0002-7142-5407</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Agricultural cooperatives Agricultural products Agriculture Agriculture - economics Biology and Life Sciences Blueberry Plants - growth & development Carrying capacity Computer and Information Sciences Computer simulation Cooperation Costs Costs and Cost Analysis Evolution Farmers Game theory Mathematical models Models, Biological Mutualism Numerical simulations People and Places Phase transitions Qualitative research Singularities Social Sciences Stability analysis Supply chains Symbiosis Systems stability |
| title | Analysis on the stability and evolutionary trend of the symbiosis system in the supply chain of fresh agricultural products |
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