Speeding Up Past Stock Movement Simulation in Sporadic Demand Inventory Control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F23%3A00010879" target="_blank" >RIV/46747885:24310/23:00010879 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ijsimm.com/Full_Papers/Fulltext2023/text22-1_627.pdf" target="_blank" >http://www.ijsimm.com/Full_Papers/Fulltext2023/text22-1_627.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2507/IJSIMM22-1-627" target="_blank" >10.2507/IJSIMM22-1-627</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Speeding Up Past Stock Movement Simulation in Sporadic Demand Inventory Control

Popis výsledku v původním jazyce

This paper is aimed at speeding up past stock movement simulation in sporadic demand inventory control making it more suitable to deal with large scale real life problems connected for example with stock management of spare parts used in the maintenance of production equipment. Thus, in continuous review, fixed order quantity inventory control policy, we suggest reducing number of simulated combinations of reorder point and replenishment order quantity replacing all combinations search with the local search. The local search is based on minimal and maximal reorder point coming from linear regression and bootstrapping. When simulating randomly generated intermittent data with increasing nonzero demand quantities the significant savings of computational time are reached while bringing up to 50 % of simulated timeseries to reach the best possible holding and ordering costs and another 40 % to reach the maximal deterioration of these costs up to 15 %. Upgraded simulation represents efficient, data driven and assumptions free approach to the sporadic demand stock management outperforming individual application of parametric forecasting methods.

Název v anglickém jazyce

Speeding Up Past Stock Movement Simulation in Sporadic Demand Inventory Control

Popis výsledku anglicky

This paper is aimed at speeding up past stock movement simulation in sporadic demand inventory control making it more suitable to deal with large scale real life problems connected for example with stock management of spare parts used in the maintenance of production equipment. Thus, in continuous review, fixed order quantity inventory control policy, we suggest reducing number of simulated combinations of reorder point and replenishment order quantity replacing all combinations search with the local search. The local search is based on minimal and maximal reorder point coming from linear regression and bootstrapping. When simulating randomly generated intermittent data with increasing nonzero demand quantities the significant savings of computational time are reached while bringing up to 50 % of simulated timeseries to reach the best possible holding and ordering costs and another 40 % to reach the maximal deterioration of these costs up to 15 %. Upgraded simulation represents efficient, data driven and assumptions free approach to the sporadic demand stock management outperforming individual application of parametric forecasting methods.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

International Journal of Simulation Modelling

ISSN

1726-4529

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

11

Strana od-do

41-51

Kód UT WoS článku

000983931000004

EID výsledku v databázi Scopus

2-s2.0-85150355231