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Title:Avtomatizacija naročanja blaga z napovedovanjem povpraševanja
Authors:ID Polc, Žan (Author)
ID Roblek, Matjaž (Mentor) More about this mentor... New window
ID Intihar, Marko (Comentor)
Files:.pdf UN_Polc_Zan_2015.pdf (3,87 MB)
MD5: 63BF7227DEB64F5C775231973DE2F9B6
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:FL - Faculty of Logistic
Abstract:Avtomatizacija naročanja blaga povzroča podjetjem težavo pri obvladovanju materialnih tokov, če so modeli, s katerimi se lotevajo avtomatizacije, preveč enostavni. Pri velikih trgovcih je avtomatizacija naročanja blaga priznana tehnika, vendar za napovedovanje prodaje največkrat uporabljajo povprečja, ki pa se zlasti zaradi neupoštevanja sezon in trenda gibanja povpraševanja večkrat izkažejo za manj uspešne. Skozi leta so avtorji razvijali različne modele napovedovanja, s katerimi so želeli minimizirati napake napovedi, a dejstvo je, da se od artikla do artikla in od količin povpraševanja po posameznih artiklih natančnost napovedi in primernost modelov za napoved zelo razlikuje, predvsem zaradi nepredvidljivih faktorjev, ki vplivajo na povpraševanje. Na konkretnem primeru poslovalnice testnega podjetja smo testirali vpliv povprečnih dnevnih temperatur na prodajo prehrane in pijače, nato pa smo z ABC in XYZ analizo določili primernost artiklov za stohastično napovedovanje in določili politiko naročanja za posamezni artikel. Izdelali smo model napovedovanja, ki testira deset metod različnih avtorjev in na podlagi kazalcev, ki merijo točnost napovedi, izbere metodo z najmanjšo napako, ki jo uporabimo v modelu določanja količine za naročilo.
Keywords:napovedovanje povpraševanja, linearna regresija, ABC in XYZ analiza, avtomatizacija naročanja
Place of publishing:Celje
Publisher:[Ž. Polc]
Year of publishing:2015
PID:20.500.12556/DKUM-55170 New window
UDC:338
COBISS.SI-ID:512718397 New window
NUK URN:URN:SI:UM:DK:ZKR6BRQE
Publication date in DKUM:10.11.2015
Views:1975
Downloads:182
Metadata:XML DC-XML DC-RDF
Categories:FL
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Secondary language

Language:English
Title:Automation of the procurement process through the use of demand forecasting
Abstract:Automation of the procurement process causes many troubles to companies in material flow management, if models of automation are too simple. Several major retailers use automation of the procurement process, but very often they use averages to predict sales, which often turn out to be less successful due to the failure to comply with seasonal trends and trends in demand. Over the years, the authors have developed predictive models with the use of which they wanted to minimize forecasting errors, but the fact is that accuracy and model suitability differ from product to product, due to the unforeseen factors, which affect the demand. In this concrete case of a test company branch, we tested the impact of average daily temperatures on the sale of food and drinks, and then, with the use of ABC and XYZ analysis, we determined products' suitability for stochastic forecasting and procurement policies set out for individual products. We developed a forecasting model, which tests ten forecasting methods of different authors, and based on indicators for accuracy of forecasting, selects the method with minimum error, which is then used in a model for quantitative determination of the procurement.
Keywords:demand forecasting, linear regression, ABC and XYZ analysis, automation of the procurement process


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