東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Optimization under uncertainty in sustainable agriculture and agrifood industry

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization under uncertainty in sustainable agriculture and agrifood industry/ edited by Víctor M. Albornoz, Alejandro Mac Cawley, Lluis M. Plà-Aragonés.
其他作者:	Albornoz, Víctor M.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	x, 212 p. :ill. (some col.), digital ;24 cm.
內容註:	Wine Journey: A methodology for analyzing wine shipping route based on temperature and Risk -- Model for estimating the demand for soybean railway transport in Brazil's logistic corridors under competitive conditions -- Implementing a decision support system for plant variety testing in the Czech Republic -- Agri-Food Supply Chain - An optimisation approach for waste valorization -- Managing risk in fresh produce planning considering price varia-bility, yield variability, and region-al complementarity -- In Silico Evaluation and Prediction of Pesticide Supported by Reproducible Evolutionary Workflows -- A precision agriculture approach for a crop rotation planning problem with adjacency constraints -- A System for Supporting Supplier and Cold Storage Selection in the Fresh Fruit Supply Chain.
Contained By:	Springer Nature eBook
標題:	Sustainable agriculture. -
電子資源:	https://doi.org/10.1007/978-3-031-49740-7
ISBN:	9783031497407

Optimization under uncertainty in sustainable agriculture and agrifood industry
Optimization under uncertainty in sustainable agriculture and agrifood industry[electronic resource] /edited by Víctor M. Albornoz, Alejandro Mac Cawley, Lluis M. Plà-Aragonés. - Cham :Springer International Publishing :2024. - x, 212 p. :ill. (some col.), digital ;24 cm.

Wine Journey: A methodology for analyzing wine shipping route based on temperature and Risk -- Model for estimating the demand for soybean railway transport in Brazil's logistic corridors under competitive conditions -- Implementing a decision support system for plant variety testing in the Czech Republic -- Agri-Food Supply Chain - An optimisation approach for waste valorization -- Managing risk in fresh produce planning considering price varia-bility, yield variability, and region-al complementarity -- In Silico Evaluation and Prediction of Pesticide Supported by Reproducible Evolutionary Workflows -- A precision agriculture approach for a crop rotation planning problem with adjacency constraints -- A System for Supporting Supplier and Cold Storage Selection in the Fresh Fruit Supply Chain.

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 topics addressed include uncertainty in areas such as the sugar cane industry, pig farming, and cold storage for perishable products. Large-scale sustainable food production is a growing concern; this book offers solutions to help meet global demand in agriculture by using and improving the methods of optimization theory and operations research.

ISBN: 9783031497407

Standard No.: 10.1007/978-3-031-49740-7doiSubjects--Topical Terms:

647177
Sustainable agriculture.

LC Class. No.: S494.5.S86

Dewey Class. No.: 630.2086

Optimization under uncertainty in sustainable agriculture and agrifood industry
LDR:03473nmm a2200349 a 4500 001 2369566
003 DE-He213
005 20240329052746.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031497407 $q (electronic bk.)
020 $a 9783031497391 $q (paper)
024 7 $a 10.1007/978-3-031-49740-7 $2 doi
035 $a 978-3-031-49740-7
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.S86
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 630.2086 $2 23
090 $a S494.5.S86 $b O62 2024
245 0 0 $a Optimization under uncertainty in sustainable agriculture and agrifood industry $h [electronic resource] / $c edited by Víctor M. Albornoz, Alejandro Mac Cawley, Lluis M. Plà-Aragonés.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a x, 212 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Wine Journey: A methodology for analyzing wine shipping route based on temperature and Risk -- Model for estimating the demand for soybean railway transport in Brazil's logistic corridors under competitive conditions -- Implementing a decision support system for plant variety testing in the Czech Republic -- Agri-Food Supply Chain - An optimisation approach for waste valorization -- Managing risk in fresh produce planning considering price varia-bility, yield variability, and region-al complementarity -- In Silico Evaluation and Prediction of Pesticide Supported by Reproducible Evolutionary Workflows -- A precision agriculture approach for a crop rotation planning problem with adjacency constraints -- A System for Supporting Supplier and Cold Storage Selection in the Fresh Fruit Supply Chain.
520 $a 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 topics addressed include uncertainty in areas such as the sugar cane industry, pig farming, and cold storage for perishable products. Large-scale sustainable food production is a growing concern; this book offers solutions to help meet global demand in agriculture by using and improving the methods of optimization theory and operations research.
650 0 $a Sustainable agriculture. $3 647177
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Operations Research and Decision Theory. $3 3591727
650 2 4 $a Agricultural Economics. $3 895207
650 2 4 $a Operations Research, Management Science. $3 1532996
700 1 $a Albornoz, Víctor M. $3 3714305
700 1 $a Mac Cawley, Alejandro. $3 3714306
700 1 $a Plà-Aragonés, Lluis M. $3 3714307
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-49740-7
950 $a Business and Management (SpringerNature-41169)