Automated application of inventory optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098866" target="_blank" >RIV/61989100:27240/16:86098866 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/16:86098866

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-45378-1_21" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-45378-1_21</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-45378-1_21" target="_blank" >10.1007/978-3-319-45378-1_21</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automated application of inventory optimization

Popis výsledku v původním jazyce

We present automated application of inventory optimization based on sales forecast. Inventory stock optimization is very required issue by companies recent years, however inventory models are based on the sales expectation. Therefore, the problem of optimizing inventory stock is divided into two parts, sales forecast and setting optimal inventory. We describe an automated solution to model selection for sales forecast and the inventory setting based on those predictions. In the end, we present our validation of the system through historical simulation. We compare simulations results against real inventory levels. Due to the large number of different length time series, this simulation was run in parallel on cluster and was parallelized in R. The algorithms were developed and tested on inventory time series from real data sets of the K2 atmitec company (Sales forecasting and inventory optimization are parts of ERP solution K2, which is provided by K2 atmitec s.r.o. company, http:// www.k2.cz/en/). (C) IFIP International Federation for Information Processing 2016.

Název v anglickém jazyce

Automated application of inventory optimization

Popis výsledku anglicky

We present automated application of inventory optimization based on sales forecast. Inventory stock optimization is very required issue by companies recent years, however inventory models are based on the sales expectation. Therefore, the problem of optimizing inventory stock is divided into two parts, sales forecast and setting optimal inventory. We describe an automated solution to model selection for sales forecast and the inventory setting based on those predictions. In the end, we present our validation of the system through historical simulation. We compare simulations results against real inventory levels. Due to the large number of different length time series, this simulation was run in parallel on cluster and was parallelized in R. The algorithms were developed and tested on inventory time series from real data sets of the K2 atmitec company (Sales forecasting and inventory optimization are parts of ERP solution K2, which is provided by K2 atmitec s.r.o. company, http:// www.k2.cz/en/). (C) IFIP International Federation for Information Processing 2016.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computer information systems and industrial management : 15th IFIP TC8 International Conference, CISIM 2016 : Vilnius, Lithuania, September 14-16, 2016 : proceedings

ISBN

978-3-319-45377-4

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

230-239

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Vilnius

Datum konání akce

14. 9. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000388720000021