Estimating Repair and Maintenance Costs and Characterizing Failures of Rice Combine Harvesters Used in Thailand
Keywords:
Rice Combine harvesters, Repair and maintenance cost, Machinery managementAbstract
This research estimated and characterized the repair and maintenance (R&M) outlay for domestically-made rice combine harvesters. The study was aimed at establishing guidelines for a repair and maintenance cost estimation model suited to the agricultural context of Thailand. Using a questionnaire-based interview format, data on R&M costs were gathered from 60 current farm vehicle owners living throughout the Central Plains and Northeast Thailand (60 vehicles; pre-owned vehicles were excluded). Investigations were focused on determining the relationship between accumulative harvest area (x) and total accumulative repair and maintenance costs (y). Statistical analyses were carried out using MATLAB (2015b version), and linear, polynomial, power, and exponential models were analyzed. The results showed that in order to estimate accumulated R&M costs of Thai rice combine harvesters with a service life of 10 years, the power regression model Y = 0.010 X1.892 with R2 = 0.9631 was the best fit for the Central Plains and Y = 0.016 X1.861 with R2 = 0.9770 was the best fit for the Northeast. Essentially, the power function-fitted estimation model is most suitable for the Thai agricultural context. This finding will be very useful in farm machinery management, specifically in terms of estimating repair and maintenance costs.
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