Repair and Maintenance Cost Estimation for Two Agricultural Tractors as Affected by Hours of Use and Years in Dongola Area, Sudan| Chapter 10 | Technological Innovation in Engineering Research Vol. 8

 Fix and upkeep cost is thought of as one of the main things for hardware dependability and the executives particularly agrarian farm trucks. The ongoing review was directed in Dongola region, Sudan to gauge farm truck fix and upkeep costs. The maintenance and support (R&M) cost is a significant thing in the expenses of possession and activity. The data was assembled from Elshimalya Organization for Horticultural Administrations records. In the review district, 44 farm trucks with two different power sizes — 75 strength and 150 torque — were picked. Relapse connection examination was utilized to conjecture the combined fix and support (R and M) costs as a level of price tag in association with the total long periods of utilization and age (years) for every farm truck size as well concerning the two sizes taken together in view of the information accumulated. Five model structures were created (direct, logarithmic, polynomial, power, and outstanding), and the power still up in the air to be the best fit to make sense of the relationship. The collected Rand M expenses as a level of the price tag (Y) expanded as the farm hauler's aggregated long periods of purpose (x) and age (g) in years climbed. The collected R&M cost was displayed to have a critical relationship with both gathered long stretches of purpose and farm hauler age in years (Normal R2 = 0.93-0.95).

It was resolved that the power capability was the best fit for fix and upkeep cost assessments and this connection might be utilized as a normal of the two work vehicle powers, for assessment of the aggregated R and M expenses as percent of price tag (Y) with collected long stretches of purpose (x) and age (g) as follows: Y=0.028x0.662 (mean), Y=12.294g1.276 (mean).

Author(s) Details:

Mohamed H. Dahab,
Department of Agricultural Engineering, Faculty of Agriculture, University of Khartoum, Sudan.

Montasir A. Gafar,
Department of Agricultural Engineering, Faculty of Agriculture, University of Khartoum, Sudan.

Abdul Gadir M. Abdul Rahman,
Department of Agricultural Engineering, Faculty of Agriculture, University of Khartoum, Sudan.

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