dc.creator | Petrović, Zoran | |
dc.creator | Bugarić, Uglješa | |
dc.creator | Petrović, Dušan | |
dc.date.accessioned | 2023-03-13T21:24:43Z | |
dc.date.available | 2023-03-13T21:24:43Z | |
dc.date.issued | 2012 | |
dc.identifier.isbn | 978-86-7083-758-4 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/6073 | |
dc.description.abstract | 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. | sr |
dc.language.iso | en | sr |
dc.publisher | University of Belgrade - Faculty of Mechanical Engineering, Department of Industrial Engineering | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | 5th SIE – International Symposium on Industrial Engineering | sr |
dc.subject | Arima | sr |
dc.subject | Box-Jenkins | sr |
dc.subject | Investments | sr |
dc.subject | Predictions | sr |
dc.subject | Turnover | sr |
dc.title | USING ARIMA MODELS FOR TURNOVER PREDICTION IN INVESTMENT PROJECT APPRAISAL | sr |
dc.type | conferenceObject | sr |
dc.rights.license | BY | sr |
dc.citation.epage | 182 | |
dc.citation.spage | 179 | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/14960/Petrovic-Bugaric-Petrovic-SIE2012.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_6073 | |
dc.type.version | publishedVersion | sr |