Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Automated Application of Inventory Optimization

Abstract : 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, ).
Complete list of metadata

Cited literature [6 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, November 17, 2017 - 3:45:03 PM
Last modification on : Saturday, June 1, 2019 - 11:34:02 AM
Long-term archiving on: : Sunday, February 18, 2018 - 2:20:29 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License




Tomáš Martinovič, Kateřina Janurová, Kateřina Slaninová, Jan Martinovič. Automated Application of Inventory Optimization. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.230-239, ⟨10.1007/978-3-319-45378-1_21⟩. ⟨hal-01637495⟩



Record views


Files downloads