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A new approach of forecasting intermittent demand for spare parts inventories in the process industries

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Publication:5292802
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DOI10.1057/palgrave.jors.2602119zbMath1155.90309OpenAlexW1990743558MaRDI QIDQ5292802

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Publication date: 25 June 2007

Published in: Journal of the Operational Research Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1057/palgrave.jors.2602119


zbMATH Keywords

regression analysisforecastingautocorrelationbootstrappingintermittent demand


Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Inventory, storage, reservoirs (90B05)


Related Items (3)

A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts ⋮ Improving density forecast by modeling asymmetric features: an application to S{\&}P500 returns ⋮ OR in spare parts management: a review




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