globalchange  > 气候减缓与适应
DOI: 10.1016/j.cie.2018.10.048
WOS记录号: WOS:000458221900069
论文题名:
Modelling food sourcing decisions under climate change: A data-driven approach
作者: Srinivasan, Rengarajan1; Giannikas, Vaggelis2; Kumar, Mukesh1; Guyot, Renaud1; McFarlane, Duncan1
通讯作者: Srinivasan, Rengarajan
刊名: COMPUTERS & INDUSTRIAL ENGINEERING
ISSN: 0360-8352
EISSN: 1879-0550
出版年: 2019
卷: 128, 页码:911-919
语种: 英语
英文关键词: Climate change ; Food supply chain ; Open data ; Sourcing decision ; Sourcing risk
WOS关键词: SUPPLY CHAIN MANAGEMENT ; BIG DATA ; SELECTION ; ANALYTICS ; SINGLE
WOS学科分类: Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS研究方向: Computer Science ; Engineering
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 be reconsidered in the years to come. In this paper, we investigate how environmental changes are likely to affect the suitability and risk of different regions in terms of growing certain food items-and whether companies should adapt their sourcing decisions due to these changes. In particular, we propose a three-stage approach that guides food sourcing decisions by incorporating climate change data. The methodology utilises environmental data from several publicly available databases and models weather uncertainties to calculate the suitability and risk indices associated with growing a crop in a particular geographical area. The estimated suitability and risk parameters are used in a mean-variance analysis to calculate the optimal sourcing decision. Results from a case example indicate that sourcing decisions of popular food items are likely to require significant adaptations due to changes to the suitability of certain regions.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/129150
Appears in Collections:气候减缓与适应

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作者单位: 1.Univ Cambridge, Inst Mfg, 17 Charles Babbage Rd, Cambridge CB3 0FS, England
2.Univ Bath, Sch Management, Bath BA2 7AY, Avon, England

Recommended Citation:
Srinivasan, Rengarajan,Giannikas, Vaggelis,Kumar, Mukesh,et al. Modelling food sourcing decisions under climate change: A data-driven approach[J]. COMPUTERS & INDUSTRIAL ENGINEERING,2019-01-01,128:911-919
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