Enhancing logistics of intermittent demand items: optimization via simulation based stock control using empirical method
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Enhancing logistics of intermittent demand items: optimization via simulation based stock control using empirical method
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Logistica>
ISSN
1339-5629
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
-2
Country of publishing house
SK - SLOVAKIA
Number of pages
10
Pages from-to
349-358
UT code for WoS article
001522063100013
EID of the result in the Scopus database
2-s2.0-105009898424