A joint network design and mulit-echelon inventory optimisation approach for supply chain segmentation

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dc.contributor.authorFichtinger, Johannes
dc.contributor.authorChan, Wan-Chuan
dc.contributor.authorYates, Nicola
dc.date.accessioned2017-09-18T14:29:59Z
dc.date.available2017-09-18T14:29:59Z
dc.date.issued2017-09-07
dc.description.abstractSegmenting large supply chains into lean and agile segments has become a powerful strategy allowing companies to manage different market demands effectively. A current stream of research into supply chain segmentation proposes demand volume and variability as the key segmentation criteria. This literature adequately justifies these criteria and analyses the benefits of segmentation. However, current work fails to provide approaches for allocating products to segments which go beyond simple rules of thumb, such as 80-20 Pareto rules. We propose a joint network and safety stock optimisation model which optimally allocates Stock Keeping Units (SKUs) to segments. We use this model, populated both with synthetic data and data from a real case study and demonstrate that this approach significantly improves cost when compared to using simple rules of thumb alone.en_UK
dc.identifier.citationFichtinger J, Chan WC, Yates N, A joint network design and multi-echelon inventory optimisation approach for supply chain segmentation, International Journal of Production Economics, Volume 209, March 2019, Pages 103-111en_UK
dc.identifier.cris18515877
dc.identifier.issn0925-5273
dc.identifier.urihttp://dx.doi.org/10.1016/j.ijpe.2017.09.003
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/12507
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSupply chain segmentationen_UK
dc.subjectNetwork optimisationen_UK
dc.subjectInventory optimisationen_UK
dc.subjectGuaranteed service approachen_UK
dc.titleA joint network design and mulit-echelon inventory optimisation approach for supply chain segmentationen_UK
dc.typeArticleen_UK

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