Details

Analiza letnega planiranja na primeru izvedbe letnega plana za leto 2001 v podjetju Ruda d.o.o. : diplomsko delo
ID Hrvatin, Aljoša (Author), ID Sitar, Aleša Saša (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/u_diplome/hrvatin986.pdf This link opens in a new window

Language:Slovenian
Keywords:Slovenija, mineralne surovine, industrijsko podjetje, Ruda, poslovanje podjetja, uspešnost poslovanja, planiranje, organizacija, analiza, 2001
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[A. Hrvatin]
Year:2003
Number of pages:48 str., [2] f. pril.
PID:20.500.12556/RUL-4113 This link opens in a new window
UDC:658
COBISS.SI-ID:14092006 This link opens in a new window
Publication date in RUL:11.07.2014
Views:1658
Downloads:471
Metadata:XML DC-XML DC-RDF
:
HRVATIN, Aljoša, 2003, Analiza letnega planiranja na primeru izvedbe letnega plana za leto 2001 v podjetju Ruda d.o.o. : diplomsko delo [online]. Bachelor’s thesis. Ljubljana : A. Hrvatin. [Accessed 7 April 2025]. Retrieved from: http://www.cek.ef.uni-lj.si/u_diplome/hrvatin986.pdf
Copy citation
Share:Bookmark and Share

Secondary language

Language:Unknown
Keywords:Slovenia, mineral resources, industrial enterprises, Ruda, company performance, business efficiency, planning, organization, analysis, 2001

Similar documents

Similar works from RUL:
  1. A comparison of advanced predictive models for the forecasting of electricity prices
  2. A short term forecasting of electricity demand
  3. Statistical editing of short-term statistics data
  4. Short-term forecasting of electric energy consumption by using fuzzy Takagi-Sugeno models
  5. Domestic electricity consumption modelling
Similar works from other Slovenian collections:
  1. Predicting power consumption with recurrent neural networks
  2. Drivers of electricity prices
  3. Nadzor konične obremenitve v podjetju Unior
  4. LOW COST ELECTRIC POWER METER
  5. Prognoziranje porabe električne energije s pomočjo nevronskih omrežij

Back