Estudio de prospectiva sectoriales como insumo para la formación e investigación en ingienería en procesos agroindustriales

Jorge Ivan Quintero Saavedra, Lina Maria Suárez Guzmán, Natalia Milena Escobar Marulanda, Diana Carolina Meza Sepulveda, Juliana Jaramillo Hurtado, Diego Alejandro Agudelo Tapasco, Jhon Wilder Zartha Sossa, Gina lia Orozco Mendoza

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The present study shows the results of three prospective studies in Cocoa, Avocado and blackberry by 2032, as part of the activities and results of the project “Regional Alliance for the Strengthening of the Agroindustrial Sector in Risaralda - Colombia” which will become a commitment to the development of new and / or improved training programs in the agribusiness sector of Risaralda by 2032, being input for training programs, curricula and research projects for interest groups related to Agroindustrial and Related Process Engineering. The methodology used included several techniques such as PESTAL analysis, structural analysis, transposed matrices, simple probabilities, conditioned probabilities, bayes theorem for the co-development of scenarios, fashion calculation and consensus percentages, techniques used within the scenario methodology and the method Delphi two rounds. Among the most important results is the obtaining of 38 key variables or drivers in the three sectors, the identification of 22 actors between each sector with a greater force relationship, the generation of 6 future objectives, 14 hypotheses and 80 scenarios for each chain agroindustrial, as well as the prioritization of 94 themes / technologies and innovations among which are highlighted in Cocoa: 42 Avocado: 26 Mora: 26, this study is expected to become an input for the programs of Agroindustrial Process Engineering and others programs focused on food and agrifood processes can establish and validate research priorities, new R & D & I projects, training and extension programs and provide feedback on their areas and courses.

Título traducido de la contribuciónSectorial foresight studies as an input for training and research in agroindustrial process engineering
Idioma originalEspañol
Título de la publicación alojada18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9789585207141
DOI
EstadoPublicada - 2020
Evento18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020 - Virtual, Online
Duración: 27 jul. 202031 jul. 2020

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (versión digital)2414-6390

Conferencia

Conferencia18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
CiudadVirtual, Online
Período27/07/2031/07/20

Nota bibliográfica

Publisher Copyright:
© 2020 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Palabras clave

  • Delphi
  • Engineering
  • Foresight
  • Scenarios

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