Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12313/445
Title: Methodology to support decision-making in prioritization improvement plans aimed at agricultural sector: Case study
Authors: Tovar-Perilla, Nelson Javier
Bermeo Andrade, Helga Patricia
Torres-Delgado, José Fidel
Gómez, Miguel Ignacio
Keywords: Multi-criteria methodology
agricultural sector
Product selection
Issue Date: 15-Mar-2018
Publisher: DYNA
Citation: Tovar-Perilla, Nelson Javier, Bermeo-Andrade, Helga Patricia, Torres-Delgado, José Fidel, & Gómez, Miguel Ignacio. (2018). Methodology to support decision-making in prioritization improvement plans aimed at agricultural sector: Case study. DYNA, 85(204), 356-363.
Abstract: Developing countries and those with agricultural tradition have, among their government priorities, the design and implementation of improvement plans to increase productivity in this sector. Prioritization of those plans tends to be based on assessment of production indicators, leaving aside key logistic aspects such as transportation, handling, packing among others. Due to this reason, this work proposes a multi-criteria methodology, based on experts’ method and planning method of technological development in agro-industrial chains proposed by ISNAR, which estimate logistic potential index (LPi) and level of competitiveness index (LCi). Joint analysis of both indicators allowed to prioritize products in an array called the prioritization matrix. Methodology was validated in a case study through prioritizing horticultural and fruit products in five zones of Tolima - Colombia to allocate resources in order to implement logistics strategies.
URI: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532018000100356
ISSN: 0012-7353
Appears in Collections:Artículos

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