Academic Journal
Optimization of straw supply chain considering carbon emissions, supply uncertainty and facility disruption risk.
| Title: | Optimization of straw supply chain considering carbon emissions, supply uncertainty and facility disruption risk. |
|---|---|
| Authors: | Mao, Jia, Zhou, Yanzhi, Shan, Lijie, Cheng, Jinyuan |
| Source: | Environment, Development & Sustainability; Feb2026, Vol. 28 Issue 2, p4855-4889, 35p |
| Subject Terms: | Stochastic programming, Uncertainty (Information theory), Geographic information systems, Carbon emissions, Mathematical optimization, Sustainable development |
| Geographic Terms: | Jilin (Jilin Sheng, China) |
| Abstract: | This paper explores the straw fodderisation project supply chain in Siping City, Jilin Province, with the raw material supply chain of the straw fermentation feed project as the research object. The relationship between the cost of the straw feed engineering supply chain and the carbon emission target is demonstrated through examples. The buffer analysis, overlay analysis and other functions of ArcGIS system are used to study the research data of Siping City, Jilin Province. With the map of Siping City, alternative points for storage facilities are obtained. Based on the deterministic model, a two-stage stochastic planning model for a multi-period three-stage straw supply chain is established by considering the uncertainty of straw raw material supply and the risk of facility failure. The uncertainty model was solved by improving the standard Drosophila algorithm, and the results of the deterministic and stochastic models were compared and sensitivity analyses were performed to optimise the straw collection, storage and transportation as a whole. The results show that considering uncertainty is necessary for straw supply chain design, which can improve the system efficiency, reduce the total cost of the supply chain, improve the ability of the supply chain to cope with the risk of facility failure, and promote the sustainable development of straw forage. [ABSTRACT FROM AUTHOR] |
| Copyright of Environment, Development & Sustainability is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s10668-024-05165-5 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 192482167 RelevancyScore: 1041 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1041.06896972656 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Optimization of straw supply chain considering carbon emissions, supply uncertainty and facility disruption risk. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mao%2C+Jia%22">Mao, Jia</searchLink><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yanzhi%22">Zhou, Yanzhi</searchLink><br /><searchLink fieldCode="AR" term="%22Shan%2C+Lijie%22">Shan, Lijie</searchLink><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Jinyuan%22">Cheng, Jinyuan</searchLink> – Name: TitleSource Label: Source Group: Src Data: Environment, Development & Sustainability; Feb2026, Vol. 28 Issue 2, p4855-4889, 35p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Stochastic+programming%22">Stochastic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty+%28Information+theory%29%22">Uncertainty (Information theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+development%22">Sustainable development</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Jilin+%28Jilin+Sheng%2C+China%29%22">Jilin (Jilin Sheng, China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper explores the straw fodderisation project supply chain in Siping City, Jilin Province, with the raw material supply chain of the straw fermentation feed project as the research object. The relationship between the cost of the straw feed engineering supply chain and the carbon emission target is demonstrated through examples. The buffer analysis, overlay analysis and other functions of ArcGIS system are used to study the research data of Siping City, Jilin Province. With the map of Siping City, alternative points for storage facilities are obtained. Based on the deterministic model, a two-stage stochastic planning model for a multi-period three-stage straw supply chain is established by considering the uncertainty of straw raw material supply and the risk of facility failure. The uncertainty model was solved by improving the standard Drosophila algorithm, and the results of the deterministic and stochastic models were compared and sensitivity analyses were performed to optimise the straw collection, storage and transportation as a whole. The results show that considering uncertainty is necessary for straw supply chain design, which can improve the system efficiency, reduce the total cost of the supply chain, improve the ability of the supply chain to cope with the risk of facility failure, and promote the sustainable development of straw forage. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Environment, Development & Sustainability is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=192482167 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-024-05165-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 4855 Subjects: – SubjectFull: Jilin (Jilin Sheng, China) Type: general – SubjectFull: Stochastic programming Type: general – SubjectFull: Uncertainty (Information theory) Type: general – SubjectFull: Geographic information systems Type: general – SubjectFull: Carbon emissions Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Sustainable development Type: general Titles: – TitleFull: Optimization of straw supply chain considering carbon emissions, supply uncertainty and facility disruption risk. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mao, Jia – PersonEntity: Name: NameFull: Zhou, Yanzhi – PersonEntity: Name: NameFull: Shan, Lijie – PersonEntity: Name: NameFull: Cheng, Jinyuan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
| ResultId | 1 |