Prediction of Repair and Maintenance Costs of Two-wheel Drive Tractors in Iran
Prediction of Repair and Maintenance Costs of Two-wheel Drive Tractors in Iran作者机构：Department of Agricultural Machinery Faculty of Agriculture Islamic Azad University Takestan Branch 34815-15-15 TakestanIran
出 版 物：《Journal of Agricultural Science and Technology》 (农业科学与技术（美国大卫英文）)
年 卷 期：2010年第4卷第2期
页 面：68-74页
学科分类：120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 12[管理学] 1202[管理学-工商管理] 082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程]
主 题：Repair and maintenance costs two-wheel drive tractors prediction modeling Iran.
摘 要：Predicting of repair and maintenance （R＆M） costs of tractors in any mechanized farm is necessary for owners and managers to obtain information on overall costs and to control financial balance and production economy. In this context a study was conducted to predict accumulated R＆M costs （Y） of two-wheel drive （2WD） tractors based on accumulated usage hours （X） in Misagh-e-Sabz Agribusiness Company in Iran. Recorded data of the company were used to determine regression models for predicting accumulated R＆M costs （as percentage of initial purchase price） based on accumulated usage hours. The statistical results of the study indicated that in order to predict accumulated R＆M costs of 2WD tractors with accumulated usage hours of 2260 h or less the power regression model Y=0.013 （X/100）1.677 with R2=0.976, and to predict accumulated R＆M costs of 2WD tractors with accumulated usage hours of 2260 h or more the polynomial regression model Y=0.004 （X/100）2-0.181 （X/1 00）＋4.373 with R2=0.998 can be strongly suggested.
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