Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry (eBook, PDF)

Redaktion: Albornoz, Víctor M.; Plà-Aragonés, Lluis M.; Mac Cawley, Alejandro

• Format: PDF

Produktbeschreibung

Highlights the latest research related to optimization under uncertainty and applications in agriculture, sustainable supply chains and the agrifood industry

Showcases more robust supply chain designs for the agrifood industry

Explains optimization methods to cope with modern challenges arising in the agriculture sector and the agri-food industry

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 212
• Erscheinungstermin: 28. März 2024
• Englisch
• ISBN-13: 9783031497407
• Artikelnr.: 70264908

Autorenporträt

Victor M. Albornoz holds a B.Sc. in Mathematics, an M.Sc. in Mathematics, and a Ph.D. in Engineering Sciences from the Pontificia Universidad Católica de Chile. A Professor at the Departamento de Industrias, Universidad Técnica Federico Santa María, his focus areas include operations research in agriculture, optimization under uncertainty, and numerical optimization techniques. He is the author of over 40 publications in academic journals, book series and book chapters, and more than 80 contributions in conference proceedings. He is an Associate Editor of Pesquisa Operacional and regularly participates in the meetings and conferences of the ICHIO (Chilean Institute of Operations Research), ALIO (Latin-Ibero-American Association of Operations Research), EURO and INFORMS. Alejandro Mac Cawley Vergara is an Associate Professor at the Industrial and System Engineering Department, part of the School of Engineering at Pontificia Universidad Católica de Chile. His research focuseson the application of operations research and logistics methods to the management of natural resources and biological systems, specifically in the agricultural, health, and mining sectors. He holds a Ph.D. from the School of Industrial and Systems Engineering, Georgia Institute of Technology, with a specialization in Supply Chain Engineering. He also holds two master's degrees in Industrial Engineering, one from the Pontificia Universidad Católica de Chile and the other from the Georgia Institute of Technology. Lluís M. Plà-Aragonés is an Associate Professor at the Department of Mathematics, University of Lleida (UdL), Spain and a Senior Researcher in the Pig Breeding research group at the Agrotecnio Center. His focus areas include operations research methods and data analytics as applied to agriculture and forest management, particularly simulation, dynamic programming, Markov decision processes and production planning. He has headed various research projects on these topicsand engaged in collaborations with private companies in the pig sector, yielding numerous papers published in academic journals. A member of SEIO and EURO, he currently coordinates the EURO working group Operational Research in Agriculture and Forest Management and the CYTED network on big data and decision support systems in agriculture.

Inhaltsangabe

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