| 書目名稱 | Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry | | 編輯 | Víctor M. Albornoz,Alejandro Mac Cawley,Lluis M. P | | 視頻video | http://file.papertrans.cn/704/703181/703181.mp4 | | 概述 | Highlights the latest research on optimization under uncertainty and applications in agriculture and agrifood industry.Showcases more robust supply chain designs for the agrifood industry.Explains opt | | 圖書封面 |  | | 描述 | .This book explores optimization under uncertainty and related applications in agriculture, sustainable supply chains and the agrifood industry. Rapid changes in the primary sector are leading to more and more industrialized structures, which require optimization methods in order to cope with today’s challenges. Addressing uncertainty in the agrifood industry may lead to more robust supply chain designs or to diversified risk. Sustainability requires interaction with the environmental or social sciences.?.This book bridges the gap between optimization theory, uncertainty, sustainability and primary-sector applications (mainly in the agriculture and food industry, but also fisheries, forestry and natural resources in general). Although it has been a major challenge for the operations research community, this urgently needed interdisciplinary collaboration is not adequately covered in most current curricula in applied mathematics, economics or (agronomic/industrial/forest) engineering. This book highlights research that can help fill this gap.?.The individual chapters cover applications of stochastic integer linear programming and multicriteria decision methods in agriculture. The to | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Optimization; Uncertainty; Agriculture; Sustainable Supply Chains; Agrifood Industry; Agriculture Supply | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-49740-7 | | isbn_softcover | 978-3-031-49742-1 | | isbn_ebook | 978-3-031-49740-7 | | copyright | Springer Nature Switzerland AG 2024 |
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