Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes10-2516
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 10 article 238 pages: 197 - 200

Zoran Petrovic 
Tecon System d.o.o, Belgrade, Serbia

Ugljesa Bugaric 
University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia

Dusan Petrovic 
University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia

In the contemporary investment project analyses, most critical point is how to estimate daily turnover of production, or service, based system. In order to make prediction, for investment in certain type of equipment more accurate, daily turnover in the system for automated car wash was observed, along with weather conditions. According to observation, ARIMA model for daily turnover and weather condition is created, according to Box-Jenkins procedure. Conclusion was made that daily turnover can be analytically expressed through daily weather conditions. Validity of observation is checked on second system that is installed in different town in Serbia. According to compared results, conclusion was made that ARIMA model of system daily turnover, predicted by dependent variable, can be gen­erally used as good predictor in investment analyses, or selective criteria for investment decisions.

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