dc.contributorSchlosser, José Fernando
dc.contributorhttp://lattes.cnpq.br/0575023987760421
dc.contributorWerner, Valmir
dc.contributorhttp://lattes.cnpq.br/6381020055451118
dc.contributorBrandelero, Catize
dc.contributorhttp://lattes.cnpq.br/4097216516218295
dc.contributorSantos, Paula Machado dos
dc.contributorhttp://lattes.cnpq.br/9956733040751870
dc.contributorReis, Ângelo Vieira dos
dc.contributorhttp://lattes.cnpq.br/8641384820246846
dc.creatorMello, Mario Fernando de
dc.date.accessioned2019-12-23T12:41:52Z
dc.date.accessioned2022-10-07T22:27:20Z
dc.date.available2019-12-23T12:41:52Z
dc.date.available2022-10-07T22:27:20Z
dc.date.created2019-12-23T12:41:52Z
dc.date.issued2019-09-04
dc.identifierhttp://repositorio.ufsm.br/handle/1/19215
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4037270
dc.description.abstractBuying agricultural machinery is invariably a costly investment for the rural enterprise, so decision making is not always an easy task and is to gather a lot of information in search of a decision that suits the proposed situation. Different steps are involved in the decision making process and this becomes complex due to the associated risks and uncertainties. The purchase of machinery and equipment is a problem that occurs in companies in general and, specifically in this study, in rural companies. In this case the investment in machinery and equipment is usually very high and it is common for rural entrepreneurs to make the decision to purchase machines based on their daily observations and not on attributes relevant to the purchase. This study conducted a study in 52 rural companies and five agricultural machinery dealers with the objective of proposing a decision matrix with more influential attributes for the decision to purchase agricultural machinery. At first, the attributes considered most important by rural entrepreneurs and concessionaires were compared, with the results showing that the views are different. Following were applied four Decision Uncertainty Criteria, which are: Wald Criterion, MaxiMax Criterion, Savage Criterion and Laplace Criterion. The individual application of each criterion does not have sufficient consistency for decision making. Thus, this researcher created a hybridization of the four criteria giving robustness to the Decision Matrix and the most relevant attributes were evidenced, resulting from the survey with 52 rural companies. Thus, the application of the model of this thesis revealed nine attributes, being "quality of the good", "durability of the good" and "useful life of the good" the three best ranked. At the time of purchase many appeals can influence the choice of the business owner. Therefore, the importance of decision quality is emphasized, since the decision-maker needs concrete support in his decision-making process, finding the appropriate set of attributes that will give him rationality in the business.
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBrasil
dc.publisherEngenharia Agrícola
dc.publisherUFSM
dc.publisherPrograma de Pós-Graduação em Engenharia Agrícola
dc.publisherCentro de Ciências Rurais
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.subjectMecanização agrícola
dc.subjectDecisão de compra
dc.subjectCritérios de tomada de decisão sob incerteza
dc.subjectMatriz de decisão
dc.subjectAgricultural mechanization
dc.subjectBuying decision
dc.subjectDecision making criteria under uncertainty
dc.subjectDecision matrix
dc.titleAtributos influenciadores na tomada de decisão para a compra de máquinas agrícolas
dc.typeTese


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