Gelişmiş Arama

Adoption of AI-based order picking in warehouse: benefits, challenges, and critical success factors

Erişim

info:eu-repo/semantics/openAccess

Tarih

2025

Yazar

Rad, Fakhreddin Fakhrai
Oghazi, Pejvak
Onur, İzmir
Kordestani, Arash

Erişim

info:eu-repo/semantics/openAccess

Üst veri

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Künye

Scopus EXPORT DATE: 06 March 2025 @ARTICLE{Rad2025, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218694648&doi=10.1007%2fs11846-025-00858-1&partnerID=40&md5=dc6a83ca744e185042b31e92394809f6}, affiliations = {School of Social Sciences, Södertörn University, Stockholm, Sweden; School of Management, University of Vaasa, PO Box 700, Vaasa, 65101, Finland; University of Economics and Human Sciences, Warsaw, Poland; Department of Business Administration, Faculty of Economics and Administrative Sciences, Gümüşhane University, Gümüşhane, Türkiye}, correspondence_address = {P. Oghazi; School of Social Sciences, Södertörn University, Stockholm, Sweden; email: Pejvak.oghazi@sh.se}, publisher = {Springer Science and Business Media Deutschland GmbH}, issn = {18636683}, language = {English}, abbrev_source_title = {Rev. Manage. Sci.} }

Özet

This research assesses the adoption of artificial intelligence (AI)-based batch order picking in a warehouse, focusing on benefits, challenges, and critical success factors. Using customer order data and simulation, the study employs a quantitative approach, combining mathematical and statistical estimations with qualitative examinations centered on interviews with the warehouse staff, its Enterprise Resource Planning (ERP) developer, and the AI developer. The findings of this mixed-method study reveal that the AI-based order-picking system (AI-based system) has improved order-picking efficiency by reducing travel distance and time. Nevertheless, challenges hinder maximum utilization of the system. In addition, the research highlights critical success factors and other benefits of adopting the system tailored to warehouse management. Understanding the lessons learned in this research is essential for businesses seeking to adopt AI to enhance their efficiency. © The Author(s) 2025.

Bağlantı

scopus.com/record/display.uri?eid=2-s2.0-85218694648&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=8a0ebcbfddff8aab90da1fa677291536
https://hdl.handle.net/20.500.12440/6417

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