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DOI10.1016/j.cie.2018.10.048
Modelling food sourcing decisions under climate change: A data-driven approach
Srinivasan, Rengarajan; Giannikas, Vaggelis; Kumar, Mukesh; Guyot, Renaud; McFarlane, Duncan
发表日期2019-02-01
ISSN0360-8352
EISSN1879-0550
卷号128页码:911-919
英文摘要Changes in climate conditions are expected to pose significant challenges to the food industry, as it is very likely that they will affect the production of various crops. As a consequence, decisions associated with the sourcing of food items will need to
关键词Climate changeFood supply chainOpen dataSourcing decisionSourcing risk
学科领域Computer Science, Interdisciplinary Applications;Engineering, Industrial
语种英语
WOS记录号WOS:000458221900069
来源期刊COMPUTERS & INDUSTRIAL ENGINEERING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/80903
作者单位Univ Cambridge, Inst Mfg, 17 Charles Babbage Rd, Cambridge CB3 0FS, England
推荐引用方式
GB/T 7714
Srinivasan, Rengarajan,Giannikas, Vaggelis,Kumar, Mukesh,et al. Modelling food sourcing decisions under climate change: A data-driven approach[J],2019,128:911-919.
APA Srinivasan, Rengarajan,Giannikas, Vaggelis,Kumar, Mukesh,Guyot, Renaud,&McFarlane, Duncan.(2019).Modelling food sourcing decisions under climate change: A data-driven approach.COMPUTERS & INDUSTRIAL ENGINEERING,128,911-919.
MLA Srinivasan, Rengarajan,et al."Modelling food sourcing decisions under climate change: A data-driven approach".COMPUTERS & INDUSTRIAL ENGINEERING 128(2019):911-919.
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