Enhancing logistics of intermittent demand items: optimization via simulation based stock control using empirical method
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F25%3A00013426" target="_blank" >RIV/46747885:24310/25:00013426 - isvavai.cz</a>
Výsledek na webu
<a href="https://actalogistica.eu/issues/2025/II_2025_13_Andar_Dyntar.pdf" target="_blank" >https://actalogistica.eu/issues/2025/II_2025_13_Andar_Dyntar.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22306/al.v12i2.650" target="_blank" >10.22306/al.v12i2.650</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Enhancing logistics of intermittent demand items: optimization via simulation based stock control using empirical method
Popis výsledku v původním jazyce
In this paper we examine whether empirical method can replace bootstrapping in intermittent demand stock control based on simulation. Thus, we generate artificial demand data with 30; 50 and 70 % of zero demand periods and simulate reorder point/fixed order quantity inventory control policy using past stock movement simulation and the local search to obtain the optimal trade-off between holding and ordering costs and the required fill rate for order lead time 2; 6; 12 and 18 periods. The outputs from simulation experiments prove that empirical method outperforms bootstrapping in term of the consumption of computational time while maintaining similar ability to overestimate lead time demand. Thus, empirical method can become a suitable substitute of bootstrapping in the local search. Moreover, it can be successfully used to generate an initial reorder point in a more on a one way neighbourhood search oriented optimization. As empirical method copes both with theoretical and empirical demand distributions and does not require a deciding on number of sampling runs, an optimization of smoothing constants based on a selection of an appropriate accuracy metric, an adoption of a demand classification schemes or a data aggregation it is well predetermined to become an important part of a simulation-optimization software solution focusing on sporadic demand inventory control in large scale real life tasks.
Název v anglickém jazyce
Enhancing logistics of intermittent demand items: optimization via simulation based stock control using empirical method
Popis výsledku anglicky
In this paper we examine whether empirical method can replace bootstrapping in intermittent demand stock control based on simulation. Thus, we generate artificial demand data with 30; 50 and 70 % of zero demand periods and simulate reorder point/fixed order quantity inventory control policy using past stock movement simulation and the local search to obtain the optimal trade-off between holding and ordering costs and the required fill rate for order lead time 2; 6; 12 and 18 periods. The outputs from simulation experiments prove that empirical method outperforms bootstrapping in term of the consumption of computational time while maintaining similar ability to overestimate lead time demand. Thus, empirical method can become a suitable substitute of bootstrapping in the local search. Moreover, it can be successfully used to generate an initial reorder point in a more on a one way neighbourhood search oriented optimization. As empirical method copes both with theoretical and empirical demand distributions and does not require a deciding on number of sampling runs, an optimization of smoothing constants based on a selection of an appropriate accuracy metric, an adoption of a demand classification schemes or a data aggregation it is well predetermined to become an important part of a simulation-optimization software solution focusing on sporadic demand inventory control in large scale real life tasks.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Acta Logistica>
ISSN
1339-5629
e-ISSN
—
Svazek periodika
12
Číslo periodika v rámci svazku
-2
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
10
Strana od-do
349-358
Kód UT WoS článku
001522063100013
EID výsledku v databázi Scopus
2-s2.0-105009898424