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dc.contributor.authorSun, Xu
dc.contributor.authorYu, Hao
dc.contributor.authorSolvang, Wei Deng
dc.date.accessioned2023-02-28T13:23:22Z
dc.date.available2023-02-28T13:23:22Z
dc.date.issued2022-02-16
dc.description.abstractTo maximize the value and material recovery from waste products, smart reverse logistics aims at managing the complex flows of physical items, cash, data, and information. The effective management of these flows requires optimal decision making at strategic, tactical, and operational levels. To support the decision making, predictive, prescriptive, and descriptive analytics have been proved to be valuable at all three levels. However, because these analytical tools require different software packages, different coding languages, and different structures of data, the decision support for complex problems combining various analytical methods is usually an ad-hoc process and requires thus significant efforts. There is a lack of standardized solutions that comprise all the necessary modules for smart reverse logistics management. Thus, this paper proposes a conceptual framework with the purpose of guiding the next-generation system integration for smart reverse logistics management. It goes further with the design of six criteria for evaluating the integration maturity of a system. The initial concept is shown with existing software solutions through a case study in Norway, and several challenges are identified for future improvements.en_US
dc.identifier.citationSun X, Yu H, Solvang WD. System Integration for Smart Reverse Logistics Management. IEEE/SICE International Symposium on System Integration. 2022;2022:821-826en_US
dc.identifier.cristinIDFRIDAID 2004386
dc.identifier.doi10.1109/SII52469.2022.9708743
dc.identifier.issn2474-2317
dc.identifier.issn2474-2325
dc.identifier.urihttps://hdl.handle.net/10037/28623
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofSun, X. (2022). A Decision-Support Framework for Smart and Sustainable Reverse Logistics Network Design. (Doctoral thesis). <a href=https://hdl.handle.net/10037/26786>https://hdl.handle.net/10037/26786</a>.
dc.relation.journalIEEE/SICE International Symposium on System Integration
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleSystem Integration for Smart Reverse Logistics Managementen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)