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020 _a9783031497407
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024 7 _a10.1007/978-3-031-49740-7
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072 7 _aBUS049000
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245 1 0 _aOptimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry
_h[electronic resource] /
_cedited by Víctor M. Albornoz, Alejandro Mac Cawley, Lluis M. Plà-Aragonés.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aX, 212 p. 67 illus., 54 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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505 0 _aWine 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 _aThis 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 _aOperations research.
_957943
650 0 _aAgriculture
_xEconomic aspects.
650 0 _aManagement science.
_957941
650 1 4 _aOperations Research and Decision Theory.
_967143
650 2 4 _aAgricultural Economics.
650 2 4 _aOperations Research, Management Science.
_965527
700 1 _aAlbornoz, Víctor M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_974174
700 1 _aMac Cawley, Alejandro.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_974175
700 1 _aPlà-Aragonés, Lluis M.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_974176
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031497391
776 0 8 _iPrinted edition:
_z9783031497414
776 0 8 _iPrinted edition:
_z9783031497421
856 4 0 _uhttps://doi.org/10.1007/978-3-031-49740-7
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
999 _c58731
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