Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach
AbstractUsually, agricultural tractor investments are assessed using traditional economic techniques that only involve financial attributes, resulting in reductionist evaluations. However, tractors have qualitative and quantitative attributes that must be simultaneously integrated into the evaluation process. This article reports a hybrid and multi-attribute approach to assessing a set of agricultural tractors based on AHP-TOPSIS. To identify the attributes in the model, a survey including eighteen attributes was given to agricultural machinery salesmen and farmers for determining their importance. The list of attributes was presented to a decision group for a case of study, and their importance was estimated using AHP and integrated into the TOPSIS technique. In this case, one tractor was selected from a set of six alternatives, integrating six attributes in the model: initial cost, annual maintenance cost, liters of diesel per hour, safety of the operator, maintainability and after-sale customer service offered by the supplier. Based on the results obtained, the model can be considered easy to apply and to have good acceptance among farmers and salesmen, as there are no special software requirements for the application. View Full-Text
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García-Alcaraz, J.L.; Maldonado-Macías, A.A.; Hernández-Arellano, J.L.; Blanco-Fernández, J.; Jiménez-Macías, E.; Sáenz-Díez Muro, J.C. Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach. Sustainability 2016, 8, 157.
García-Alcaraz JL, Maldonado-Macías AA, Hernández-Arellano JL, Blanco-Fernández J, Jiménez-Macías E, Sáenz-Díez Muro JC. Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach. Sustainability. 2016; 8(2):157.Chicago/Turabian Style
García-Alcaraz, Jorge L.; Maldonado-Macías, Aidé A.; Hernández-Arellano, Juan L.; Blanco-Fernández, Julio; Jiménez-Macías, Emilio; Sáenz-Díez Muro, Juan C. 2016. "Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach." Sustainability 8, no. 2: 157.
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