Gaining competitive advantage in spare parts logistics through inventory control based on optimization via simulation and data aggregation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F25%3A00013621" target="_blank" >RIV/46747885:24310/25:00013621 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.cjournal.cz/files/580.pdf" target="_blank" >https://www.cjournal.cz/files/580.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7441/joc.2025.02.04" target="_blank" >10.7441/joc.2025.02.04</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Gaining competitive advantage in spare parts logistics through inventory control based on optimization via simulation and data aggregation

Popis výsledku v původním jazyce

In this paper, we examine how a demand data aggregation affects the consumption of computational time in sporadic demand inventory control based on a past stock movement simulation (PSMS). PSMS represents a data-driven approach, which instead of estimating order lead time demand with help of a forecasting method rather focuses on a combinatorial optimization using an evolution of a replenishment process over a time. We simulate an all combinations search, a local search and modified local search together with (s, S) inventory control policy and a demand data aggregation ranging from 1 to 40 days using real daily demand data for 12,374 spare car parts covering a one-year period. The outputs from PSMS prove that an increasing data aggregation significantly shortens the time of searching for an s, S combination, ensuring the optimal trade-off between the fill rate and holding and ordering costs. However, the level of aggregation has to be set carefully, because once the positive effect of the aggregation is depleted, holding and ordering costs tend to increase rapidly according to growing average inventory. Acceleration through the data aggregation brings PSMS nearer to applications in extensive supply chain management real life tasks dealing with inventory control of products with sporadic demand.

Název v anglickém jazyce

Gaining competitive advantage in spare parts logistics through inventory control based on optimization via simulation and data aggregation

Popis výsledku anglicky

In this paper, we examine how a demand data aggregation affects the consumption of computational time in sporadic demand inventory control based on a past stock movement simulation (PSMS). PSMS represents a data-driven approach, which instead of estimating order lead time demand with help of a forecasting method rather focuses on a combinatorial optimization using an evolution of a replenishment process over a time. We simulate an all combinations search, a local search and modified local search together with (s, S) inventory control policy and a demand data aggregation ranging from 1 to 40 days using real daily demand data for 12,374 spare car parts covering a one-year period. The outputs from PSMS prove that an increasing data aggregation significantly shortens the time of searching for an s, S combination, ensuring the optimal trade-off between the fill rate and holding and ordering costs. However, the level of aggregation has to be set carefully, because once the positive effect of the aggregation is depleted, holding and ordering costs tend to increase rapidly according to growing average inventory. Acceleration through the data aggregation brings PSMS nearer to applications in extensive supply chain management real life tasks dealing with inventory control of products with sporadic demand.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Journal of Competitiveness>

ISSN

1804-171X

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

17

Strana od-do

88-104

Kód UT WoS článku

001550581100004

EID výsledku v databázi Scopus

2-s2.0-105017139682