Life cycle prediction for agile supply chains: a comparison of methods

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dc.contributor.authorAktas, Emel
dc.contributor.authorChomachaei, Fahimeh
dc.contributor.authorGolmohammadi, Davood
dc.date.accessioned2023-08-05T10:28:47Z
dc.date.available2023-08-05T10:28:47Z
dc.date.issued2023-07-05
dc.description.abstractThe aim of this paper is to compare the performance of several product life cycle models on an empirical dataset from a lighting products retailer to inform inventory decisions for products that are in different life cycle stages: introduction, growth, maturity, or decline. Bass diffusion curves, piece-wise linear curves, and polynomial curves, fourth order polynomial curves are used to predict the life cycles of 2,618 products. We identify which products need an efficient and which require an agile supply chain design. We provide recommendations for how much inventory to keep, especially for products that are in the decline stage.en_UK
dc.identifier.citationAktas E, Chomachaei F, Golmohammadi D. (2023) Life cycle prediction for agile supply chains: a comparison of methods. In: 30th EurOMA Conference, 3-5 July 2023, Leuven, Belgiumen_UK
dc.identifier.urihttps://euroma2023.org/
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20047
dc.language.isoenen_UK
dc.publisherEmerald
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectbass diffusion modelen_UK
dc.subjectpiece-wise linear curvesen_UK
dc.subjectlife cycle predictionen_UK
dc.titleLife cycle prediction for agile supply chains: a comparison of methodsen_UK
dc.typeConference paperen_UK

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