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dc.contributor.authorAbbasnia, Fatemeh
dc.contributor.authorZandieh, Mostafa
dc.contributor.authorBahrami, Farzad
dc.contributor.authorPourhejazy, Pourya
dc.date.accessioned2025-07-08T09:31:40Z
dc.date.available2025-07-08T09:31:40Z
dc.date.issued2025-07-01
dc.description.abstractThis study develops a decision-making framework for the identification and performance preservation of strategic products using a non-parametric analysis of items within the product portfolio. Methods: Data Envelopment Analysis (DEA) and the sensitivity analysis of Inverted Data Envelopment Analysis (IDEA) are adapted to explore a new application area in growth product management. A field study from the retail sector of a developing economy is conducted to evaluate the method’s practicality. Results: This study suggests that the power of suppliers, product shelf life, and the ratio of sales to inventory are important supply chain considerations in identifying strategic products accommodated in Slow-Moving Consumer Goods (SMCG) supply chains. Conclusions: The field study shows that sensitivity analysis, in the new application area, provides insights for the identification and performance preservation of strategic items in a product portfolio. Data-driven solutions tailored to the operational needs of the case company and its different product categories conclude this article.en_US
dc.identifier.citationAbbasnia, Zandieh, Bahrami, Pourhejazy P. A Decision Analysis Framework for the Identification and Performance Preservation of Strategic Products in the Supply Chain. Logistics. 2025;9(3)en_US
dc.identifier.cristinIDFRIDAID 2391933
dc.identifier.doi10.3390/logistics9030089
dc.identifier.issn2305-6290
dc.identifier.urihttps://hdl.handle.net/10037/37467
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalLogistics
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2025 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.titleA Decision Analysis Framework for the Identification and Performance Preservation of Strategic Products in the Supply Chainen_US
dc.type.versionpublishedVersionen_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)