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dc.contributor.advisorLarson, Dennis L.en_US
dc.contributor.authorKonda, Issa, 1962-
dc.creatorKonda, Issa, 1962-en_US
dc.date.accessioned2013-04-03T13:03:22Z
dc.date.available2013-04-03T13:03:22Z
dc.date.issued1991en_US
dc.identifier.urihttp://hdl.handle.net/10150/277842
dc.description.abstractFarm machinery management data were collected in Burkina Faso, for the prediction of repair and maintenance costs. Equations were developed to predict repair and maintenance costs of tractors, cane loaders, generators and motorpumps. The analysis of data revealed that tractor repair and maintenance appears a greater burden than predicted by the American and Australian data. Tractor trade-in was not prescribed by the rule of minimum total cost per unit tractor use. Farm machinery and power units were operated more than twice as long as in the United States. New machine purchase was discouraged by the current sugar prices on the local market.
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectBusiness Administration, Management.en_US
dc.subjectEconomics, Agricultural.en_US
dc.titleTractor repair and maintenance costs and management policies in Burkina Fasoen_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.identifier.proquest1343597en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineAgricultural & Biosystems Engineeringen_US
thesis.degree.nameM.S.en_US
dc.identifier.bibrecord.b26794305en_US
refterms.dateFOA2018-08-27T11:31:25Z
html.description.abstractFarm machinery management data were collected in Burkina Faso, for the prediction of repair and maintenance costs. Equations were developed to predict repair and maintenance costs of tractors, cane loaders, generators and motorpumps. The analysis of data revealed that tractor repair and maintenance appears a greater burden than predicted by the American and Australian data. Tractor trade-in was not prescribed by the rule of minimum total cost per unit tractor use. Farm machinery and power units were operated more than twice as long as in the United States. New machine purchase was discouraged by the current sugar prices on the local market.


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