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

L. Walls; J. Quigley; M. Parsa; E. Comrie

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

L. Walls, J. Quigley, M. Parsa, E. Comrie

Management Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

4 Citations (Scopus)

62 Downloads (Pure)

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
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
Abbreviated title	ESREL 2016
Country/Territory	United Kingdom
City	Glasgow
Period	25/09/16 → 29/09/16
Internet address	http://esrel2016.org/ (Link to conference web site)

Keywords

risk analysis
manufacturing
enterprise resource planning
short-term prediction
suppliers
supply risk decisions

Access to Document

Walls-etal-ESREL2016-Risk-analysis-of-supplyAccepted author manuscript, 658 KB

Cite this

@inproceedings{f558eb2e205b47d399b14a577551273c,

title = "Risk analysis of supply: comparative performance and short-term prediction",

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.",

keywords = "risk analysis, manufacturing, enterprise resource planning, short-term prediction, suppliers, supply risk decisions",

author = "L. Walls and J. Quigley and M. Parsa and E. Comrie",

note = "{"}This is an Accepted Manuscript of a book chapter published by Routledge in Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016) on 12/9/2016, available online: https://www.crcpress.com/Risk-Reliability-and-Safety-Innovating-Theory-and-Practice-Proceedings/Walls-Revie-Bedford/p/book/9781138029972.; European Safety and Reliability Conference 2016, ESREL 2016 ; Conference date: 25-09-2016 Through 29-09-2016",

year = "2016",

month = sep,

day = "13",

language = "English",

isbn = "9781138029972",

editor = "Lesley Walls and Matthew Revie and Tim Bedford",

booktitle = "Risk, Reliability and Safety",

url = "http://esrel2016.org/",

}

Walls, L , Quigley, J, Parsa, M & Comrie, E 2016, Risk analysis of supply: comparative performance and short-term prediction. in L Walls, M Revie & T Bedford (eds), Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). London, European Safety and Reliability Conference 2016, Glasgow, United Kingdom, 25/09/16.

Risk analysis of supply: comparative performance and short-term prediction. / Walls, L.; Quigley, J.; Parsa, M. et al.
Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). ed. / Lesley Walls; Matthew Revie; Tim Bedford. London, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Risk analysis of supply

T2 - European Safety and Reliability Conference 2016

AU - Walls, L.

AU - Quigley, J.

AU - Parsa, M.

AU - Comrie, E.

N1 - "This is an Accepted Manuscript of a book chapter published by Routledge in Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016) on 12/9/2016, available online: https://www.crcpress.com/Risk-Reliability-and-Safety-Innovating-Theory-and-Practice-Proceedings/Walls-Revie-Bedford/p/book/9781138029972.

PY - 2016/9/13

Y1 - 2016/9/13

N2 - 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.

AB - 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.

KW - risk analysis

KW - manufacturing

KW - enterprise resource planning

KW - short-term prediction

KW - suppliers

KW - supply risk decisions

UR - https://www.crcpress.com/Risk-Reliability-and-Safety-Innovating-Theory-and-Practice-Proceedings/Walls-Revie-Bedford/p/book/9781138029972

UR - http://esrel2016.org/

M3 - Conference contribution book

SN - 9781138029972

BT - Risk, Reliability and Safety

A2 - Walls, Lesley

A2 - Revie, Matthew

A2 - Bedford, Tim

CY - London

Y2 - 25 September 2016 through 29 September 2016

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Resilience and robustness of dynamic manufacturing supply networks

Cite this

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Resilience and robustness of dynamic manufacturing supply networks

Cite this