Mysara Ahmed MOHAMED, Abdalla Noureldin Osman KHİERY, Abbas Elshiekh RAHAMA, Alameen ALWATHİG ALAMEEN

Optimization Model for Machinery Selection of Multi-Crop Farms in Elsuki Agricultural Scheme

The optimization machinery model was developed to aid decision-makers and farm machinery managers in determining the optimal number of tractors, scheduling the agricultural operation and minimizing machinery total costs. For purpose of model verification, validation and application input data was collected from primary & secondary sources from Elsuki agricultural scheme for two seasons namely 2011-2012 and 2013-2014. Model verification was made by comparing the numbers of tractors of Elsuki agricultural scheme for season 2011-2012 with those estimated by the model. The model succeeded in reducing the number of tractors and operation total cost by 23%. The effect of optimization model on elements of direct cost saving indicated that the highest cost saving is reached with depreciation, repair and maintenance (23%) and the minimum cost saving is attained with fuel cost (22%). Sensitivity analysis in terms of change in model input for each of cultivated area and total costs of operations showing that: Increasing the operation total cost by 10% decreased the total number of tractors after optimization by 23% and total cost of operations was also decreased by 23%. Increasing the cultivated area by 10%, decreased the total number of tractors after optimization by(12%) and total cost of operations was also decreased by 12% (16669206 SDG(1111280 $) to 14636376 SDG(975758 $)). For the case of multiple input effect of the area and operation total cost resulted in decrease maximum number of tractors by 12%, and the total cost of operations also decreased by 12%. It is recommended to apply the optimization model as pre-requisite for improving machinery management during implementation of machinery scheduling.

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Abdoon ME. 2010. Utilization of Optimization Model for Agric. Machinery Management in Binna Scheme (Dongla areaSudan). M.Sc.Thesis ,SUST , Sudan.

Alameen AA 2015. Optimization Model for Agricultural Machinery Selection in Elsuki Agricultural Scheme using linear Programming. M.Sc . Thesis., SUST (Sudan).

Alam M, Awal MA. 2001. Selection of farm power by using a computer program. Agricultural Mechanization in Asia, Africa and Latin America (AMA) 32(1). ASAE. 1993. Uniform Technology for Agric. MachineryManagement data ASAE, St. Joseph.

ASAE. Standards. 2003. Agricultural Management Data. ASAE Machinery Management Data.ASAE D497.4, ASABE, St. Joseph, MI.

Bakri AA. 1993. Cost determinationof mechanical operations performed in suger- cane at Gunied Suger Factory. M.Sc. Thesis, U. K.

Bol MB. 1996. Machinery Selection Algorithm. M.Sc. Thesis , U. of Gezira , Sudan.

Cheng ASK, Han J, Welsh J, Wood A. 1992. providing User Oriented Support for Software Development by Formal Methods, Queensland 4072 Australia. Available From: http://www.itee.uq.edu.au/~sse/SVRC-TRS/tr92-08.pdf. Last viewed 2 August 2007. Dent JB, Anderson JR. 1971.System analysis in Agricultural Management.John Wiley and sons. Australasia, PTY .LTD. New York.

Edwards WW. 2001.Estimating Farm Machinery Costs, Iowa State University. University Extension Available from: http://www.iastste.edu. Last viewed April, 13, 2007.

Ekman S. 2002. Modelling Agricultural production Systems using mathematical programming. Department of Economics , SLU, Sweden.

Grzechowiak R. 1999. Optimization of parameter estimate for agricultural machinery models . Parace -Institute – RD. Hunt DR. 1995. Farm power & machinery management. Iowa state University Press Ames. Iowa. U.S.A.

Hunt DR. 2001. Farm Power and Machinery Management, 10?ℎ Edition. Iowa state University press, Ames, Iowa, U.S.A. Ismail WI. 1998. Expert system for crop production machinery system, agricultural mechanization in Asia, Africa and Latin America, 25(30).

Masoud FH. 2005. A computer model for Farm Machinery Selection ,ph.D. Thesis, U. of Kh., Sudan .

Mohamed MA. 2007. Decision Aid Model for Agricultural machinery management (DAMAMM). Ph.D. Thesis. Sudan. University of Sciences and Technology department of Agricultural engineering.

Mohamed MA, Ibrahim HM, Mohamed OE. 2013. Evaluation and Improvement of machinery management system of the Rahad Project using A decision- aid Model. Osman NOA. 2011. A Model for Farm Machinery Selection. M.Sc Thesis, U. of Kh. Sudan.

Summers RL, Mizelle HI, Montani JP, Jones AE. 1999. Validation of a computer model for the determination of aortic compliance curves Computers in Cardiology 1999. Volume, Issue.p.455-. Wenging HY, Yadong Z, Sonsbeek GNJ. 1999. Improving management system of agricultural machinery in JIANGSU.Agricultural Engineering Collage, NANING

Agricultural University, China, proceeding of 99 international conference on Agricultural Engineering, 42-45.