ANALYSIS OF OPTIMAL COSTS FOR RESERVES OF SPARE PARTS FOR AGRICULTURAL MACHINES

Marjan Mirčevski; Milan Mihajlović; Milan Milunović; Ivan Milojević; Radovan Damnjanović; Rade Žugić; Miloš Miljković; Slobodan Stanojević

doi:10.5937/ekoPolj1801081M

Authors

Marjan Mir?evski, PhD Military Medical Academy, Belgrade, Belgrade
Milan Mihajlovi?, PhD Military Academy, University of Defence, Belgrade
Milan Milunovi?, PhD Budget Department, Ministry of Defense, Belgrade
Ivan Milojevi?, PhD General Staff of the Serbian Armed Forces, Belgrade
Radovan Damnjanović General Staff of the Serbian Armed Forces, Belgrade
Rade Žugi?, PhD School of Economisc and Management Studies, Kragujevac
Miloš Miljkovi?, MSc student Military Academy, University of Defence, Belgrade
Slobodan Stanojevi?, PhD Modern Bussines School, Belgrade

DOI:

https://doi.org/10.5937/ekoPolj1801081M

Keywords:

Stochastic model of supplies, spare parts, agricultural machinery, farm.

Abstract

Managing reserves of spare parts for agricultural machinery in agricultural farms represents one of the most important activities in securing smooth functioning, especially having in mind the imperative of continuous agricultural production. Aims of this study were to show how efficiency of the agricultural farms as a business subject can be secured by determining timely purchase of spare parts by using a stochastic model of supplies on one side and reduce the time of malfunction of agricultural machinery on the other. Study of optimal inventory level was conducted in agricultural holdings on the territory Banat in 2015 based on data on spare parts purchase and malfunction of agricultural machinery. Acquired data was related to frequency of defects and the need for spare parts, as well as the price of spare parts, where the data was processed with the use of stochastic model of supplies. The optimal number of spare parts for the observed equipment in the observed period was y*=4 with the probability of 85% that this amount of spare parts will be sufficient for all malfunctions on the equipment to be eliminated, while taking a 15% risk that one or two spare parts will be acquired with emergency procurements in case of extraordinary circumstances. The model of managing supplies represented in such a way provides an opportunity to be easily applied in agricultural farms, where the values of an optimal solution would be effectively got with previously chosen values of suitable parameters, thus minimizing total expected costs, which would include fxed costs, expenses caused by unsatisfied requests, where the time of waiting for the observed equipment to be fxed would be taken into account.

Downloads

Download data is not yet available.

References

1. Backović, M., Vuleta, J., Popović, Z. (2014). Ekonomsko-matematički metodi i modeli. CID Ekonomski fakultet Beograd.
2. Basten, R.J.I., Houtum, G.J. (2014). System-oriented inventory models for spare parts. Surveys in Operations Research and Management Science, vol. 19, No.1, pp. 85-96.
3. Božić, V., Aćimović, S. (2010). Marketing logistika. CID Ekonomski fakultet Beograd.
4. Brown, A.S. (2008). To what extent does agricultural machinery maintenance pose clinical risk? Clinical Risk March, vol. 14, No. 2, pp. 59-62.
5. Caffaro, F., Mirisola, A., Cavallo, E. (2017). Safety signs on agricultural machinery: Pictorials do not always successfully convey their messages to target users, Applied Ergonomics, vol. 58, No 1, pp. 156-166.
6. Cruz, A.M., Rincon, A.M.R. (2012). Agricultural machinery maintenance outsourcing: Have operation management research and management theories forgotten the medical engineering community? A mapping review. European Journal of Operational Research, vol. 221, No.1, pp. 186-197.
7. Deshpande, V., Iyer, A.V., Cho, R. (2006). Efficient supply chain management at the U.S. Coast Guard using part-age dependent supply replenishment policies. Oper. Res. vol. 54, No.6, pp. 1028–1040.
8. Gauchan, D., Shrestha, S. (2017). Agricultural and rural mechanization in Nepal: status, issues and options for future. In: Mandal, M.A.S. (et al. (eds.)) Rural mechanization: a driver in agricultural change and rural development. Dhaka (Bangladesh): Institute for Inclusive Finance and Development (InM) pp. 97-118.
9. Gościański, M., Kośmicki, Z., Mielec, K. (2005). Chemically polluted parts of agricultural machines which were executed from plastic. Journal of Research and Applications in Agricultural Engineering, vol. 50, No. 4, pp. 32-38.
10. Guillermo, R.G. (2017). Characterization of traditional production systems of sugarcane for panela and some prospects for improving their sustainability, Rev. Fac.Nal.Agr.Medellín, vol.70 no. 1, pp. 8046-8055.
11. Harrington, L. (2007). From just in case to just in time. Air Transp. World, vol. 44, No.4, pp. 77–80.
12. Karugia, J. (2017). Impact of Farm Mechanization on Crop Production and Yields: Case of interventions implemented under ASDP, 3rd Annual Agriculture Policy Conference 1st - 3rd March, 2017, Dar es Salaam, Tanzania, pp. 170-182.
13. Kranenburg, B. (2006). Spare Parts Inventory Control Under System Availability Constraints (Ph.D. thesis). BETA Research School. Eindhoven, The Netherlands, D88.
14. Milić, B. (2011). Ruralni razvoj – praktikum za lokalne aktere. Stalna konferencija gradova i opština, Beograd.
15. Milojević, I., Mihajlović, M., Cvijanović, M. (2012). Impact of organizational failure of relevance consolidated budget. Ekonomika poljoprivrede, vol. 59, No.1, pp. 63-71.
16. Riveiro, J.A., Marey-Pérez, M.F., Díaz-Varelam, E.R., Álvarez, C.J. (2010). A methodology for the analysis of the relationships between farms and their physical environment. Journal of Agricultural Science vol. 48, No. 2, pp. 245-253.
17. Rustenburg, W.D., Van Houtum, G.J., Zijm, W.H.M. (2013). Exact and approximate analysis of multi-echelon, multi-indenture spare parts systems with commonality, in: Shanthikumar, J.G., Yao, D.D., Zijm, W.H.M. (2013). Stochastic Modelling and Optimization of Manufacturing Systems and Supply Chains: Kluwer Academic Publishers.
18. Smith, A,, Pitt, M. (2007). Facilities management quality and user satisfaction in outsourced services. School of the Built Environment. Liverpool John Moores University.
19. Vukoje, A. (2013). Faktori egzistencije kao uslov stvaranja tržišne pozicije preduzeća, ODITOR, Centar za ekonomska i fnansijska istraživanja, vol. 1, no. 5, pp. 27-37, Beograd, Srbija.
20. Walczak, M., Caban, J., Marczuk, A. (2017). Evaluation of Tribological Properties of Polymer Materials Used for Sliding Bearings in Agricultural Machinery, Agricultural Engineering, Vol. 21, No. 1, pp. 95–103.
21. Zekić, M, Šegrt, S. (2015). Uticaj privatnog zdravstvenog osiguranja na makroekonomski ambijent Republike Srbije. ODITOR, Centar za ekonomska i fnansijska istraživanja, vol. 3, No.1, 33-45, Beograd.