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: 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:
NumberType
10.1080/00207543.2019.1685705DOI
1406621Other
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: http://irep.ntu.ac.uk/id/eprint/42214

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