Towards sporadic demand stock management based on simulation with single reorder point estimation

Simple item page
dc.contributor.authorHuskova, Katerina
dc.contributor.authorKasparova, Petra
dc.contributor.authorDyntar, Jakub
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2025-06-09T09:29:32Z
dc.date.available2025-06-09T09:29:32Z
dc.description.abstractThe goal of this paper is to decide whether bootstrapping and/or linear regression are suitable to estimate an initial reorder point in sporadic demand stock management based on past stock movement simulation (PSMS) in combination with neighborhood search-oriented optimization. Thus, we randomly generate demand data including 20–80% zero demand periods and simulate continuous review, fixed order quantity inventory control policy (R, Q) for 4 different arrangements of PSMS combined with local search (LS) with a number of bootstrapping sampling runs ranging from 5 to 500. The original idea of LS is to underestimate order lead time demand using linear regression (LR), overestimate lead time demand with the help of bootstrapping (B) and search the generated interval using PSMS to return R, Q with the optimal trade-off between inventory costs and service level. The outputs gained from simulation experiments show that avoiding the generation of overestimated reorder point with B seems to be a more sensible choice as the consumption of computational time is significantly higher than in case of LR. On the other hand, using an LR based initial reorder point may require the exploration of neighborhood in both directions, while B rather enables a more efficient one-way search as it suffers from significantly less blindness caused by PSMS compensating underestimated order lead time demand with increased replenishment orders. Furthermore, estimating just one initial reorder point brings a better opportunity to control the consumption of computational time through assigning a certain amount of computational time to every change of the initial reorder point, as a time to evaluate a single R, Q combination via PSMS is relatively stable.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2025-5-002
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/176875
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectSupply chain managementen
dc.subjectspare partsen
dc.subjectinventory controlen
dc.subjectsporadic demanden
dc.subjectbootstrappingen
dc.subjectsimulationen
dc.subjectoptimizationen
dc.subject.classificationM21
dc.subject.classificationL62
dc.subject.classificationC63
dc.titleTowards sporadic demand stock management based on simulation with single reorder point estimationen
dc.typeArticleen
local.accessopen
local.citation.epage80
local.citation.spage67
local.facultyFaculty of Economics
local.filenameEM_2_2025_04
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume28
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
EM_2_2025_04_5_002.pdf
Size:
1.35 MB
Format:
Adobe Portable Document Format
Description:
článek
Download
Collections
Číslo 2