Comparison of static and dynamic order-picking in warehouse systems
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Autor:in (Körperschaft)
Publikationsdatum
2026
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
2026 8th International Symposium on Computational and Business Intelligence (ISCBI)
Themenheft
DOI der Originalpublikation
Link
Zugehörige Forschungsdaten
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
99-104
Patentnummer
Verlag / Herausgebende Institution
IEEE
Verlagsort / Veranstaltungsort
Bali
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
This study examines the optimization of orderpicking routes in warehouse logistics, with a focus on comparing static and dynamic models. The objective is to determine how different methods impact computational costs and efficiency. While dynamic models offer greater flexibility but require higher computational effort, static models, which use fixed order lists, perform well under stable conditions. Despite advancements in dynamic routing, a direct comparison of the performance of Ant Colony Optimization and Nearest Distance Optimization under such conditions has not yet been conducted. This study analyzes their efficiency through a structured comparison of order-picking models. This comparison is based on a simulated warehouse setup with orders that arrive dynamically during the ongoing picking process. The results show that Ant Colony Optimization achieves total travel distances during order picking which are 8% to 13% shorter than those from Nearest Distance Optimization.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
2026 8th International Symposium on Computational and Business Intelligence (ISCBI)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
06.02.2026
Enddatum der Konferenz
08.02.2026
Datum der letzten Prüfung
ISBN
979-8-3315-5080-6
979-8-3315-5079-0
979-8-3315-5081-3
979-8-3315-5079-0
979-8-3315-5081-3
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
peer-reviewed
Open Access-Status
Closed
Zitation
Pathmanathan, M., Kica, V., Hanne, T., & Dornberger, R. (2026). Comparison of static and dynamic order-picking in warehouse systems. 2026 8th International Symposium on Computational and Business Intelligence (ISCBI), 99–104. https://doi.org/10.1109/iscbi69404.2026.11496244