Projects per year
Abstract
Managing risk in the supply of inbound parts for the assembly of complex engineering systems is a key activity for manufacturing companies to avoid production delays and disruption. We present novel analysis of empirical data typically available in enterprise resource planning systems. The information generated through such analysis can provide useful information to support decisions to better manage supply risk. For example, identifying suppliers at risk of poor performance under different loadings or relative to peers, and assessing the financial value of investing in learning and developing suppliers. Our analysis is based on new methods developed for robust ranking, valuation of due diligence as well as more established regression modelling principles. We focus upon the ways our methods can be used to support supply risk decisions by showing how they have been applied in an industry case and the implications of our findings to date.
Original language | English |
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Title of host publication | Risk, Reliability and Safety |
Subtitle of host publication | Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016) |
Editors | Lesley Walls, Matthew Revie, Tim Bedford |
Place of Publication | London |
ISBN (Electronic) | 9781315374987 |
Publication status | Published - 13 Sept 2016 |
Event | European Safety and Reliability Conference 2016 - University of Strathclyde, Glasgow, United Kingdom Duration: 25 Sept 2016 → 29 Sept 2016 http://esrel2016.org/ (Link to conference web site) |
Conference
Conference | European Safety and Reliability Conference 2016 |
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Abbreviated title | ESREL 2016 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 25/09/16 → 29/09/16 |
Internet address |
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Keywords
- risk analysis
- manufacturing
- enterprise resource planning
- short-term prediction
- suppliers
- supply risk decisions
Fingerprint
Dive into the research topics of 'Risk analysis of supply: comparative performance and short-term prediction'. Together they form a unique fingerprint.Projects
- 1 Finished
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Resilience and robustness of dynamic manufacturing supply networks
Walls, L. (Principal Investigator) & Quigley, J. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/09/13 → 28/02/17
Project: Research