A robotic process automation model for order-handling optimization in supply chain management

dc.contributor.authorShamsuzzoha, Ahm
dc.contributor.authorPelkonen, Sini
dc.contributor.departmentDigital Economy
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|
dc.contributor.orcidhttps://orcid.org/0000-0002-4219-0688
dc.date.accessioned2025-09-08T10:23:23Z
dc.date.issued2025-01-23
dc.description.abstractThis study proposes a robotic process automation (RPA) model to streamline and optimize order-handling procedures in supply chain management. The current manual approach to order handling poses challenges, including limited accessibility and significant cognitive demands on employees. An information systems design methodology is applied to analyze and improve the process, with data gathered through semi-structured interviews to address these issues. The findings highlight that reducing manual labor alleviates workload imbalances and saves time in supply chain automation. Moreover, automating repetitive tasks through well-designed software bots minimizes the risk of human error. While this research focuses on applying RPA in order handling, future studies should explore the potential of artificial intelligence-driven RPA to enhance process automation further.
dc.description.notification© 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|
dc.format.contentfi=kokoteksti|en=fulltext|
dc.format.extent18
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/18996
dc.identifier.urnURN:NBN:fi-fe2025090894859
dc.language.isoeng
dc.publisherElsevier
dc.relation.doi10.1016/j.sca.2025.100102
dc.relation.ispartofjournalSupply Chain Analytics
dc.relation.issn2949-8635
dc.relation.urlhttps://doi.org/10.1016/j.sca.2025.100102
dc.relation.volume9
dc.rightsCC BY 4.0
dc.source.identifierWOS:001486849800001
dc.source.identifier2-s2.0-85215630098
dc.subjectArtificial intelligence
dc.subjectRobotic process automation
dc.subjectProcess management
dc.subjectSupply chain automation
dc.subjectDigitalization
dc.subject.disciplinefi=Tuotantotalous|en=Industrial Management|
dc.titleA robotic process automation model for order-handling optimization in supply chain management
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|en=A1 Peer-reviewed original journal article|sv=A1 Originalartikel i en vetenskaplig tidskrift|
dc.type.publicationarticle
dc.type.versionpublishedVersion

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
Osuva_Shamsuzzoha_Pelkonen_2025.pdf
Size:
4.39 MB
Format:
Adobe Portable Document Format

Kokoelmat