Phone: +64 9 921 9999 ext 5414
AUT School of Computer & Mathematical Sciences
Private Bag 92006
Operational Research Society (United Kingdom)
Operations Research Society of New Zealand, Council Member, 2014 - present
Member of the Royal Society of New Zealand
Dr Sarah Marshall joined AUT as a Lecturer in February 2014. Sarah completed a Bachelor of Commerce and Administration in Economics and a Bachelor of Science in Psychology and Operations Research at Victoria University of Wellington. After graduating, she worked in the Australian stockbroking industry before returning to New Zealand to complete a Master of Science in Statistics and Operations Research at Victoria University of Wellington. Sarah completed her PhD in Management Science on the application of deterministic and stochastic models to product recovery systems at the University of Edinburgh in 2012. Sarah taught in the Department of Management Science at the University of Strathclyde in Glasgow for three years before beginning her current position at AUT.
Sarah is a member of the Mathematical Sciences Research Group and the Data Science Research Group. Her research focuses on the use of stochastic modelling to address problems of interest to business and industry. Examples of application areas include remanufacturing systems, inventory management and warranty costs analysis.
Sarah has a keen interest in analytics and regularly attends the NZ Analytics Forum. Sarah is the Industry Liaison for the Master of Analytics and welcomes enquiries from organisations interested in engaging with AUT through student projects. Sarah is a member of the ORSNZ Council and was co-chair of the 2016 Joint NZSA+ORSNZ Conference.
Warranty Cost Analysis (with Stefanka Chukova, Richard Arnold, Yu Hayakawa)
Quality in Product Recovery Systems (with Thomas Archibald)
Traceability in the Dairy Industry (with PhD student Melissa Welsh)
Google Scholar: https://scholar.google.com.au/citations?user=0-4vXgoAAAAJ&hl=en
Marshall, S., & Archibald, TW. (2015). Substitution in hybrid remanufacturing. Procedia CIRP, 26, 583-588. doi:10.1016/j.procir.2014.07.073
Marshall, S. E., & Chukova, S. (2010). On analysing warranty data from repairable items. Quality and Reliability Engineering International, 26(1), 43-52. doi:10.1002/qre.1032
Marshall, S. (2012). Refuse or Reuse: Managing the Quality of Returns in Product Recovery Systems. (Doctoral Thesis, University of Edinburgh, Edinburgh, United Kingdom). Retrieved from http://hdl.handle.net/1842/6415
Marshall, S. (2008). On the analysis of reliability data. (Master's Thesis/Postgraduate Dissertation, Victoria University of Wellington, Wellington, New Zealand). Available online: Available online
Welsh, M., Marshall, S., & Noy, I (2016) Modelling New Zealand milk: From the farm to the factory. School of Economics and Finance Working Paper Series, Victoria University of Wellington. Available online: http://www.victoria.ac.nz/sef/research/pdf/2016-papers/SEF-Working-Paper18-2016.pdf
Marshall, S.E. & Archibald T.W. (2016) Lot-sizing for a Product Recovery System with Quality-dependent Recovery Channels. Computers and Industrial Engineering (under review)