Optimization Model of Carbon Footprint of Fresh Products in Cold Chain from the Energy Conservation and Emission Reduction Perspective
The carbon footprint of the cold chain logistics system refers to the greenhouse gas emissions directly or indirectly caused in each link of the cold chain logistics activities. Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissi...
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| Veröffentlicht in: | Mathematical problems in engineering 2021, Vol.2021, p.1-11 |
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| creator | Hu, Bin Huang, Bangtong Liu, Zheng Guo, Hangxin Chen, Zihong Shi, Lihua |
| description | The carbon footprint of the cold chain logistics system refers to the greenhouse gas emissions directly or indirectly caused in each link of the cold chain logistics activities. Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissions in the field of cold chain logistics plays an important role in energy conservation and emission reduction. Based on the in-depth analysis of the carbon footprint of cold chain logistics, this paper introduces the distance coefficient and freshness parameters into the optimization model innovatively and uses the life cycle assessment method and input-output method to determine the calculation range of the carbon footprint of fresh products of each link in the cold chain logistics. The system calculates the carbon emissions generated by the production and operation activities of each place of origin, distribution center, retailer, and waste disposal during the circulation of fresh products. This paper establishes a carbon footprint optimization model to discuss how to balance carbon constraints and minimized costs. Through the analysis of the simulation results, from the perspective of the government and enterprises, corresponding countermeasures are put forward to more effectively achieve the goal of energy conservation and emission reduction and guide the cold chain logistics industry to sustainable development. |
| doi_str_mv | 10.1155/2021/5559021 |
| format | Article |
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Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissions in the field of cold chain logistics plays an important role in energy conservation and emission reduction. Based on the in-depth analysis of the carbon footprint of cold chain logistics, this paper introduces the distance coefficient and freshness parameters into the optimization model innovatively and uses the life cycle assessment method and input-output method to determine the calculation range of the carbon footprint of fresh products of each link in the cold chain logistics. The system calculates the carbon emissions generated by the production and operation activities of each place of origin, distribution center, retailer, and waste disposal during the circulation of fresh products. This paper establishes a carbon footprint optimization model to discuss how to balance carbon constraints and minimized costs. Through the analysis of the simulation results, from the perspective of the government and enterprises, corresponding countermeasures are put forward to more effectively achieve the goal of energy conservation and emission reduction and guide the cold chain logistics industry to sustainable development.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2021/5559021</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Carbon ; Carbon footprint ; Cold ; Cold storage ; Conservation ; Cost analysis ; Decision making ; Distribution centers ; Economic activity ; Emission analysis ; Emissions control ; Emissions trading ; Emitters ; Energy conservation ; Energy consumption ; Environmental impact ; Environmental protection ; Food ; Footprint analysis ; Freshness ; Genetic algorithms ; Greenhouse gases ; Industrial development ; Integer programming ; Life cycle assessment ; Literature reviews ; Logistics ; Optimization models ; Profits ; Route optimization ; Sensitivity analysis ; Supply chains ; Sustainable development ; Waste disposal</subject><ispartof>Mathematical problems in engineering, 2021, Vol.2021, p.1-11</ispartof><rights>Copyright © 2021 Bin Hu et al.</rights><rights>Copyright © 2021 Bin Hu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-2f7aeeb27c4c6847f7abb66632fb369aa9e7015dc8c5b7c49fb972591a3767e83</citedby><cites>FETCH-LOGICAL-c390t-2f7aeeb27c4c6847f7abb66632fb369aa9e7015dc8c5b7c49fb972591a3767e83</cites><orcidid>0000-0001-6210-2422 ; 0000-0002-0660-592X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,4010,27904,27905,27906</link.rule.ids></links><search><contributor>Qu, Xiaobo</contributor><contributor>Xiaobo Qu</contributor><creatorcontrib>Hu, Bin</creatorcontrib><creatorcontrib>Huang, Bangtong</creatorcontrib><creatorcontrib>Liu, Zheng</creatorcontrib><creatorcontrib>Guo, Hangxin</creatorcontrib><creatorcontrib>Chen, Zihong</creatorcontrib><creatorcontrib>Shi, Lihua</creatorcontrib><title>Optimization Model of Carbon Footprint of Fresh Products in Cold Chain from the Energy Conservation and Emission Reduction Perspective</title><title>Mathematical problems in engineering</title><description>The carbon footprint of the cold chain logistics system refers to the greenhouse gas emissions directly or indirectly caused in each link of the cold chain logistics activities. Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissions in the field of cold chain logistics plays an important role in energy conservation and emission reduction. Based on the in-depth analysis of the carbon footprint of cold chain logistics, this paper introduces the distance coefficient and freshness parameters into the optimization model innovatively and uses the life cycle assessment method and input-output method to determine the calculation range of the carbon footprint of fresh products of each link in the cold chain logistics. The system calculates the carbon emissions generated by the production and operation activities of each place of origin, distribution center, retailer, and waste disposal during the circulation of fresh products. This paper establishes a carbon footprint optimization model to discuss how to balance carbon constraints and minimized costs. Through the analysis of the simulation results, from the perspective of the government and enterprises, corresponding countermeasures are put forward to more effectively achieve the goal of energy conservation and emission reduction and guide the cold chain logistics industry to sustainable development.</description><subject>Carbon</subject><subject>Carbon footprint</subject><subject>Cold</subject><subject>Cold storage</subject><subject>Conservation</subject><subject>Cost analysis</subject><subject>Decision making</subject><subject>Distribution centers</subject><subject>Economic activity</subject><subject>Emission analysis</subject><subject>Emissions control</subject><subject>Emissions trading</subject><subject>Emitters</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Environmental impact</subject><subject>Environmental protection</subject><subject>Food</subject><subject>Footprint analysis</subject><subject>Freshness</subject><subject>Genetic algorithms</subject><subject>Greenhouse gases</subject><subject>Industrial development</subject><subject>Integer programming</subject><subject>Life cycle assessment</subject><subject>Literature reviews</subject><subject>Logistics</subject><subject>Optimization models</subject><subject>Profits</subject><subject>Route optimization</subject><subject>Sensitivity analysis</subject><subject>Supply chains</subject><subject>Sustainable development</subject><subject>Waste disposal</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEFLwzAYhoMoOKc3f0DAo9YladM0RymbCpMNUfBW0ja1GWtSk2wyf4C_25Tu7Ol73-TJF3gAuMboHmNKZwQRPKOU8jBPwATTNI4oTthpyIgkESbxxzm4cG6DAkFxNgG_q96rTv0Ir4yGL6aWW2gamAtbhr4wxvdWaT-cLax0LVxbU-8q76DSMDfbGuatCLGxpoO-lXCupf08hCvtpN2Pa4Wu4bxTzg3lVQ7vh7SW1vUy5L28BGeN2Dp5dZxT8L6Yv-VP0XL1-Jw_LKMq5shHpGFCypKwKqnSLGGhlmWapjFpyjjlQnDJEKZ1lVW0DBBvSs4I5VjELGUyi6fgZtzbW_O1k84XG7OzOnxZkOADYYIwD9TdSFXWOGdlUwQJnbCHAqNiMF0Mpouj6YDfjnirdC2-1f_0H_Bvfw8</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Hu, Bin</creator><creator>Huang, Bangtong</creator><creator>Liu, Zheng</creator><creator>Guo, Hangxin</creator><creator>Chen, Zihong</creator><creator>Shi, Lihua</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0001-6210-2422</orcidid><orcidid>https://orcid.org/0000-0002-0660-592X</orcidid></search><sort><creationdate>2021</creationdate><title>Optimization Model of Carbon Footprint of Fresh Products in Cold Chain from the Energy Conservation and Emission Reduction Perspective</title><author>Hu, Bin ; 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Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissions in the field of cold chain logistics plays an important role in energy conservation and emission reduction. Based on the in-depth analysis of the carbon footprint of cold chain logistics, this paper introduces the distance coefficient and freshness parameters into the optimization model innovatively and uses the life cycle assessment method and input-output method to determine the calculation range of the carbon footprint of fresh products of each link in the cold chain logistics. The system calculates the carbon emissions generated by the production and operation activities of each place of origin, distribution center, retailer, and waste disposal during the circulation of fresh products. This paper establishes a carbon footprint optimization model to discuss how to balance carbon constraints and minimized costs. Through the analysis of the simulation results, from the perspective of the government and enterprises, corresponding countermeasures are put forward to more effectively achieve the goal of energy conservation and emission reduction and guide the cold chain logistics industry to sustainable development.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2021/5559021</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-6210-2422</orcidid><orcidid>https://orcid.org/0000-0002-0660-592X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Carbon Carbon footprint Cold Cold storage Conservation Cost analysis Decision making Distribution centers Economic activity Emission analysis Emissions control Emissions trading Emitters Energy conservation Energy consumption Environmental impact Environmental protection Food Footprint analysis Freshness Genetic algorithms Greenhouse gases Industrial development Integer programming Life cycle assessment Literature reviews Logistics Optimization models Profits Route optimization Sensitivity analysis Supply chains Sustainable development Waste disposal |
| title | Optimization Model of Carbon Footprint of Fresh Products in Cold Chain from the Energy Conservation and Emission Reduction Perspective |
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