Picture of UK Houses of Parliament

Leading national thinking on politics, government & public policy through Open Access research

Strathprints makes available scholarly Open Access content by researchers in the School of Government & Public Policy, based within the Faculty of Humanities & Social Sciences.

Research here is 1st in Scotland for research intensity and spans a wide range of domains. The Department of Politics demonstrates expertise in understanding parties, elections and public opinion, with additional emphases on political economy, institutions and international relations. This international angle is reflected in the European Policies Research Centre (EPRC) which conducts comparative research on public policy. Meanwhile, the Centre for Energy Policy provides independent expertise on energy, working across multidisciplinary groups to shape policy for a low carbon economy.

Explore the Open Access research of the School of Government & Public Policy. Or explore all of Strathclyde's Open Access research...

Risk analysis of supply : comparative performance and short-term prediction

Walls, L. and Quigley, J. and Parsa, M. and Comrie, E. (2016) Risk analysis of supply : comparative performance and short-term prediction. In: Risk, Reliability and Safety. CRC/Taylor & Francis Group, London. ISBN 9781315374987

[img]
Preview
Text (Walls-etal-ESREL2016-Risk-analysis-of-supply)
Walls_etal_ESREL2016_Risk_analysis_of_supply.pdf
Accepted Author Manuscript

Download (673kB)| Preview

    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.