Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing

Brintrup, A, Pak, J, Ratiney, D, Pearce, T, Wichmann, P, Woodall, P ORCID: https://orcid.org/0000-0003-0412-1347 and McFarlane, D, 2020. Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing. International Journal of Production Research, 58 (11), pp. 3330-3341. ISSN 0020-7543

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Item Type:	Journal article
Publication Title:	International Journal of Production Research
Creators:	Brintrup, A., Pak, J., Ratiney, D., Pearce, T., Wichmann, P., Woodall, P. and McFarlane, D.
Publisher:	Taylor & Francis
Date:	2 June 2020
Volume:	58
Number:	11
ISSN:	0020-7543
Identifiers:	Number Type 10.1080/00207543.2019.1685705 DOI 1406621 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	08 Feb 2021 12:32
Last Modified:	08 Feb 2021 12:32
URI:	https://irep.ntu.ac.uk/id/eprint/42214

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